Structural stability of aerospace and energy related materials, manufactured by
conventional and additive routes, is of great importance to avoid catastrophic
failures during operation. Understanding their thermo-mechanical response under
extreme pressure, temperature or corrosive conditions would immensely aid in
designing alloys, and thereby increasing their lifetimes. This symposium delves
into investigations, focused on using high throughput tools for accelerated
materials discovery and root cause analyses of fielded and new make parts.
The topics of interest to this symposium include, but are not limited to, the
following:
•ICME tools coupled with multi-scale experimentation to correlate processing
history to microstructural hierarchy and ensuing property response
•ML-based multi objective optimization models targeted towards more reliable
predictive capabilities with realistic (usually small) experimental data
•High throughput experimental approaches for accelerated
material-microstructure-property optimizations to facilitate ML.
The focus is on structural high temperature and light-weight materials such as
refractory alloys, high entropy alloys, Ni- Co- based alloys, high strength
titanium alloys, maraging steels and ODS alloys.
As computational methodologies in the materials science and engineering become
more mature, it is critical to develop and validate numerical techniques and
algorithms that employ ever-expanding computational resources. The algorithms
for either physics-based models or data-based models can impact critical
materials science areas such as: data acquisition and analysis from microscopy,
atomic force microscopy (AFM), state-of-the-art light source facilities, and
analysis/extraction of quantitative metrics from numerical simulations of
materials behavior.
This symposium seeks abstract submissions for developing new algorithms and/or
designing new methods for performing computational research in materials
science and engineering. One symposium thrust is on implementation on the novel
peta/exascale supercomputer architectures for revolutionary improvements in
simulation analysis time, power, and capability. Another symposium thrust is
for employing widely available state-of-the art cloud and clusters computing
systems. Validation studies and uncertainty quantification of computational
methodologies are also of interest. Session topics include, but are not limited
to:
• Advancements that enhance modeling and simulation techniques such as density
functional theory, molecular dynamics, Monte Carlo simulation, dislocation
dynamics, electronic-excited states, phase-field modeling, CALPHAD, crystal
plasticity, and finite element analysis;
• Advancements in semi-empirical models and machine learning algorithms for
interatomic interactions, microstructure evolution and meso/continuum models;
• New techniques for physics-based, multi-scale, multi-physics materials
modeling;
• Computational methods for analyzing results and development of reduced
models from high fidelity simulations data of materials phenomena;
• Approaches for data mining, machine learning, image processing, image based
microstructure generation, synthetic microstructure generation, high throughput
databases, high throughput experiments, surrogate modeling and extracting
useful insights from large data sets of numerical and experimental results;
• Approaches for improving performance and/or scalability, particularly on new
and emerging hardware (e.g., GPUs), and other high-performance computing (HPC)
efforts; and
• Uncertainty quantification, statistical metrics from image-based synthetic
microstructure generation, model comparisons and validation studies related to
novel algorithms and/or methods in computational material science.
Engineering the microstructure and microstructural hierarchy form the basis of
the application of metallic materials. A spatial hierarchy ranging from
atomic/dislocation to precipitate to grain level can be effective at different
scales and help to design high-performing alloys. Deformation processing is
widely applied to engineer defect-mediated microstructures. High-stress
deformation processes such as high-pressure torsion or high strain processes
such as friction stir processing both have been used to modify defect
structures often resulting in the microstructural hierarchy. However, in these
processes, the mechanical-thermal coupling obscures a deep mechanistic
understanding of the microstructural evolution, and the knowledge of how these
microstructures influence properties is an active research area. This symposium
brings together the various communities working on deformation-induced
microstructural modification. Areas of interest include severe plastic
deformation, friction stir processing, cold spray, shear processing, grain
boundary engineering, persistent metastable structures by solid-phase
processing, the influence of deformation on precipitation, microstructural and
phase evolution under deformation, distribution of the alloying elements,
supersaturation, forced mixing, and the influence of these on the overall
microstructural evolution and mechanical properties of these alloys. Both
experimental and computational topics are welcome.
Materials development for extreme environments including high temperature
turbines and nuclear reactors involves the development of alloys which are
resilient against a variety of degradation mechanisms. These degradation
mechanisms include oxidation/corrosion, hydrogen embrittlement, precipitation
hardening or instabilities, phase decomposition, fatigue, and wear. Traditional
structural alloys such as austenitic steels and Ni superalloys, as well as new
material systems such as multicomponent alloys or multiple principal element
alloys can all suffer from a variety of phase instabilities that are likely to
impact long term performance. Understanding material stability in these extreme
environments is paramount to enhancing the lifetime of key components.
The purpose of this symposium is to create a forum where researchers from
across academia, national laboratories, and industry can share insights on
recent advancements and the practical impact of phase stability on the
performance of material systems. This includes current materials for
applications such as light water reactors and power/aviation turbine systems as
well as future applications such as fusion reactors and hydrogen power systems.
A variety of perspectives from modeling and simulation to predict behavior and
lab scale testing to failure analysis of field components will help to create a
fuller understanding of mechanisms and impact.
Experimental and/or theoretical studies are sought on topics including but not
limited to:
-Phase separation or decomposition in extreme environments
-Radiation induced phase transformations
-Deformation induced phase transformations (e.g. deformation induced martensite)
-Long term thermal aging
-High temperature thermal cycling
-Impact of phase stability on hydrogen embrittlement
-Impact of phase stability on stress corrosion cracking
Phase transformation is one of the most effective and efficient means to
produce desired microstructures in materials for various applications. This
symposium is a continuation of a series of annual TMS symposia focusing on
phase transformations and microstructural evolution during materials processing
or under service conditions. It intends to bring together experimental,
theoretical and computational experts to assess the current status of theories
of phase transformations and microstructure evolution primarily in the solid
states. In addition to fundamental understanding of the mechanisms underlying
phase transformations and microstructure evolution, attention will also be
given to microstructure engineering using emerging processing/manufacturing
techniques to fabricate advanced materials for both structural and functional
applications.
The topics of choice for this year include, but are not limited to:
1) Phase transformations in steels and ferrous alloys, non-ferrous alloys (such
as Ti, Ni, Al, Zr), ceramics, semiconductors and other materials for both
structural and functional applications;
2)Phase transformations and microstructure evolution in high-entropy alloys
(HEA)
3) Phase transformations under far-from-equilibrium processing conditions or
complex thermal histories;
4) Advanced defect engineering technique assisted by phase transformation;
5) Understanding transformation pathways and metastable microstructures in
solid phase processing of materials using shear deformation;
6) The application of data science, simulation tools, and advanced
characterization techniques (both in-situ and ex-situ) in understanding and
discovery of transformation pathway and microstructure signature along it
during phase transformations.
The transient heat transfer conditions encountered in additive manufacturing
(AM) result in unusual microstructures and textures that can have different
properties from conventional wrought or cast processes. The unique
microstructure results from the combination of rapid melting and solidification
from the AM process. The directional heat transfer results in strongly textured
columnar grains, and this microstructure affects the mechanical properties of
the final part. Conventionally processed products have been considered superior
compared to AM in many of the most demanding and safety critical engineering
applications due to the heterogeneity and orientation dependency of mechanical
properties, potential for life-limiting defect content, and qualification
challenges. This limits adoption of AM parts where they could otherwise offer
an advantage, for example in weight savings or reduction in final machining.
Mechanical anisotropy results from the strong crystallographic texture in
as-fabricated AM parts, and this anisotropy can be influenced with an
optimization of the laser scanning strategy or a post fabrication heat
treatment. Because the initial microstructures from AM are different from
conventional processes, optimal heat treatment times and temperatures for AM
materials can differ from those used in conventional thermomechanical
processing. The lack of standardization between machines creates an additional
level of complexity. As a result, the qualification of materials from AM would
benefit from an accurate digital twin of the process, capable of predicting
defect probabilities and local microstructure heterogeneity. This symposium
will explore the unique thermal sequence of AM materials and their distinctive
microstructures, which affect their performance.
Contributions are sought that address microstructure development during AM from
experimental and computational perspectives, including but not limited to:
- quantitative microstructure characterization
- mechanisms of defect formation
- correlation of in-situ process monitoring data with microstructure
- defect probability predictions
- uncertainty quantification
- multiphysics simulations, both of the manufacturing process and the effects
of microstructure on performance.
References
[1] Seifi, M., et al. "Progress towards metal AM standardization to support
qualification and certification." JOM 69.3 (2017): 439-455.
[2] Kok, Y., et al. "Anisotropy and heterogeneity of microstructure and
mechanical properties in metal AM: A critical review." Materials & Design 139
(2018): 565-586.
[3] Lindgren, L.-E., and A. Lundb�ck. "Approaches in computational welding
mechanics applied to AM: Review and outlook." Comptes Rendus M�canique 346.11
(2018): 1033-1042.
[4] Gatsos, T., et al. "Review on computational modeling of process–
microstructure–property relationships in metal AM." JOM 72.1 (2020): 403-419.
[5] Rezaei, A., et al. "Microstructural and mechanical anisotropy of selective
laser melted IN718 superalloy at room and high temperatures using small punch
test." Materials Characterization 162 (2020): 110200.
Most intermetallic compounds adopt complex and aperiodic structure types,
hallmarked by their extremely large unit cells and extensive crystallographic
disorder. Quasicrystals are the quintessential example of crystal complexity:
they possess long-range positional order but classically forbidden
orientational order. Despite their frequent observation in both metallic
alloys and soft matter structures in the 40 years since their discovery, little
is known about the way in which they emerge from a liquid, amorphous, or
crystalline precursor.
While multiple kinetic models have been proposed, such models remain unverified
due to the prior lack of experimental and computational probes. We now have
suitable probes in hand. This symposium will integrate theory, state-of-the-art
characterization techniques, and multi-scale modelling approaches in order to
achieve a comprehensive picture of the formation and transformation pathways of
complex intermetallics. Topics include structure models; surfaces and
overlayers; growth and stability; defect generation; and soft matter analogues.
As computational methodologies in the materials science and engineering become
more mature, it is critical to develop, improve, and validate techniques and
algorithms that leverage ever-expanding computational resources. These
physical-based and data-intensive algorithms can impact areas such as: data
acquisition and analysis from sophisticated microscopes and state-of-the-art
light source facilities, analysis and extraction of quantitative metrics from
numerical simulations of materials behavior, and implementation on novel peta-
and exascale computer architectures for revolutionary improvements in
simulation analysis time, power, and capability.
This symposium solicits abstract submissions from researchers who are
developing new algorithms and/or designing new methods for performing
computational research in materials science and engineering. Validation studies
and uncertainty quantification of computational methodologies are equally of
interest. Session topics include, but are not limited to:
• Advancements that enhance modeling and simulation techniques such as density
functional theory, molecular dynamics, Monte Carlo simulation, dislocation
dynamics, electronic-excited states, phase-field modeling, CALPHAD, and finite
element analysis;
• Advancements in semi-empirical models and machine learning algorithms for
interatomic interactions;
• New techniques for simulating the complex behavior of materials at different
length and time scales;
• Computational methods for analyzing results from simulations of materials
phenomena;
• Approaches for data mining, machine learning, image processing, high
throughput databases, high throughput experiments, and extracting useful
insights from large data sets of numerical and experimental results;
• Approaches for improving performance and/or scalability, particularly on new
and emerging hardware (e.g. GPUs), and other high-performance computing (HPC)
efforts; and
• Uncertainty quantification, model comparisons and validation studies related
to novel algorithms and/or methods in computational material science.
The interfacial regions separating different grains in polycrystalline
materials, while occupying only a small fraction of total volume, largely
control the system’s properties, including mechanics, mass/heat transfer,
radiation resistance, etc. The misorientation angle has been widely used to
describe the structures of grain boundaries (GBs), but only a few types of GBs
(i.e., ones with low energy and some special “coincidence number” Σ) are well
understood at the current stage. In reality, given the large variety of
possible metastable states, the higher disorder levels at interfaces, and their
different responses to external stimuli, global equilibrium is rarely achieved
in GBs of poly- or nano-crystalline materials. The large scale of
non-equilibrium metastable states and the thermodynamics and kinetics therein
play decisive roles in determining GB properties and their microstructural
evolution.
This symposium aims to accelerate the development of new concepts and
methodologies to effectively describe GBs. The role of disorder at interfaces,
the broad distributions of energies and activation barriers, and their
interplay with complex or extreme environments will be subjects of particular
focus. Both theoretical (including modeling and simulation) and experimental
studies are encouraged. The topics of interest to this symposium include, but
are not limited to, the following:
• Energetics and activation barriers spectra in materials with high level of
disorder (e.g., grain boundaries, amorphous states, etc.)
• Non-equilibrium thermodynamics and metastability of grain boundaries
• Novel experimental, theoretical, and data-driven techniques for
microstructural characterization of interfaces
• Relationships between structure (atomic or crystallographic) and grain
boundary properties
• Interactions between interfaces and extrinsic defects (e.g., dislocations,
point defects, impurities, etc.) and their mechanical consequences
• Grain boundary kinetics and phase transformations at different external
stimuli (e.g., mechanical loading, irradiation, thermal cycling, etc.)
• Interfaces beyond grain boundaries, such as crystalline-amorphous interfaces
in hierarchical structures, precipitate-matrix interfaces in multi-element
alloys, etc.
The microstructural templates based on a homogeneous distribution of ordered
precipitates (for example L12, DO22, or B2) within a solid solution
face-centered cubic (FCC) or body-centered cubic (BCC) matrix, are two of the
most prevalent templates used in designing multiple alloy systems. Such systems
include nickel-base and cobalt-base superalloys, austenitic and ferritic
steels, aluminum-base alloys, and more recently high entropy alloys, or complex
concentrated alloys. The ordered precipitates in these alloys can be potent
strengtheners, both at ambient and at elevated temperatures. This symposium
brings together the various communities working on isostructural
ordered/disordered precipitate/matrix alloy systems. Areas of interest include:
the mechanism of precipitation of the ordered phase within the FCC or BCC solid
solution matrix, distribution of the alloying elements between matrix and
precipitate, other related phase transformations, and the influence of these on
the overall microstructural evolution and mechanical properties of these
alloys. Both experimental and computational work on these topics are welcome.
Phase transformation is one of the most effective and efficient means to
produce desired microstructures in materials for various applications. This
symposium is a continuation of a series of annual TMS symposia focusing on
phase transformations and microstructural evolution during materials processing
or under service conditions. It intends to bring together experimental,
theoretical and computational experts to assess the current status of theories
of phase transformations and microstructure evolution primarily in the solid
states. In addition to fundamental understanding of the mechanisms underlying
phase transformations and microstructure evolution, attention will also be
given to microstructure engineering using emerging processing/manufacturing
techniques to fabricate advanced materials for both structural and functional
applications.
The topics of choice for this year include, but are not limited to:
Phase transformations in steels and ferrous alloys, non-ferrous alloys (such
as Ti, Ni, Al, Zr), ceramics, semiconductors and other materials for both
structural and functional applications;
Phase transformations and microstructure evolution in high-entropy alloys
(HEA)
Phase transformations under far-from-equilibrium processing conditions or
complex thermal histories;
Advanced defect engineering technique assisted by phase transformation;
Understanding transformation pathways and metastable microstructures in solid
phase processing of materials using shear deformation;
The application of data science, simulation tools, and advanced
characterization techniques (both in-situ and ex-situ) in understanding and
discovery of transformation pathway and microstructure signature along it
during phase transformations.
The growing field of Additive Manufacturing (AM) provides new exciting
challenges and opportunities in physical metallurgy. Inherently different to
traditional manufacturing processes, in AM, metallic systems undergo various
localised phase transformations in fractions of a second during a build. For
instance, the layer-by-layer approach gives rise to the so-called intrinsic
heat treatment, where earlier layers continuously experience a temperature
gradient induced by the melting of subsequent layers. This often results in an
inhomogeneous microstructure throughout the build, and in some cases,
precipitation can be triggered from early stages. Therefore, there is a need
for AM-tailored post-processing conditions.
For a wider adoption of the technology in industry, the knowledge on the
microstructure needs to be extended to its stability in service, including high
load and temperature conditions. Such understanding will provide a solid
background in the design of microstructures tailored for the AM process, and
bring us a step closer in establishing the materials paradigm for AM.
Topic of interest include, but are not limited to:
* Microstructural characterisation of AM-processed materials throughout
post-processing.
* Physical modelling / simulation of phase transformations and microstructural
evolution.
* Phase transformations and microstructural stability of AM components under
extreme conditions.
* Effects of powder manufacturing process and recycling on phase stability.
* Processing effects on as-built microstructure gradients and texture.
As computational approaches to study the science and engineering of materials
become more mature, it is critical to develop, improve, and validate techniques
and algorithms that leverage ever-expanding computational resources. These
algorithms can impact areas such as: data acquisition and analysis from
sophisticated microscopes and state-of-the-art light source facilities,
analysis and extraction of quantitative metrics from numerical simulations of
materials behavior, and the ability to leverage specific computer architectures
for revolutionary improvements in simulation analysis time, power, and
capability.
This symposium solicits abstract submissions from researchers who are
developing new algorithms and/or designing new methods for performing
computational research in materials science and engineering. Validation studies
and uncertainty quantification of computational methodologies are equally of
interest. Session topics include, but are not limited to:
- Advancements that enhance modeling and simulation techniques such as density
functional theory, molecular dynamics, Monte Carlo simulation, dislocation
dynamics, electronic-excited states, phase-field modeling, CALPHAD, and finite
element analysis;
- Advancements in semi-empirical models and machine learning algorithms for
interatomic interactions;
- New techniques for simulating the complex behavior of materials at different
length and time scales;
- Computational methods for analyzing results from simulations of materials
phenomena;
- Approaches for data mining, machine learning, image processing, high
throughput databases, high throughput experiments, and extracting useful
insights from large data sets of numerical and experimental results;
- Uncertainty quantification, model comparisons and validation studies related
to novel algorithms and/or methods in computational material science.
Continuous phase transformations in the solid state are not limited by
nucleation barriers, can give rise to complex microstructural configurations
and provide opportunities to achieve a sweeping range materials properties if
properly controlled. The potential impact of such transformations now
encompasses a much broader range of applications and is no longer limited to
fundamental studies or very limited alloy classes. For example, short range
ordering phenomenon in so called high entropy alloys are providing new insight
on localized mechanical deformation behavior, while second order
transformations are also central to the development of next generation steels,
magnets, energy storage materials, etc. In addition to fundamental
understanding of the mechanism underlying continuous phase transformations,
attention will also be given to utilization of these unique transformation
pathways to develop novel microstructures for advanced structural and
functional materials.
This symposium aims to provide a forum for discussion of current research
efforts aspiring to understand, control and predict the pathways and
consequences of continuous phase transformations, which may arise through
conventional or emerging processing routes, through state-of-the-art
characterization tools (such as in-situ transmission electron microscopy,
aberration-corrected scanning/transmission electron microscopy and atom probe
tomography) and computational tools (including DFT, MD, CALPHAD, Phase-Field
and Machine Learning).
Solid–solid phase transformation during thermo-mechanical processing (TMP) is
still one of the most effective and efficient means to produce desired
microstructures for structural (including orthopedic implant) and functional
materials including steels, light metals (e.g. titanium, magnesium and aluminum
alloys) and shape memory alloys, to name a few. On the one hand, extended
defects such as dislocations and internal interfaces (e.g., stacking faults,
grain boundaries and triple junctions, hetero-phase interfaces) have been
frequently utilized to direct nucleation and tune the number density, size,
shape, orientation and spatial distribution of desired phases and thus
mechanical properties. On the other hand, crystalline defects of a specific
characteristic (s) generated during TMP could be desired for improving
materials properties as well (e.g., grain boundaries with low-index plane
demonstrate strong resistance to crack propagation and corrosion in harsh
service environment)
The symposium aims at providing a forum for discussion of current research
efforts that bring together state-of-the-art characterization tools (such as
in-situ transmission electron microscopy, aberration-corrected
scanning/transmission electron microscopy and atom probe tomography) and
computational tools (including DFT, MD, Phase-Field and Machine Learning) for
fundamental understanding of defect-microstructure interactions and the
corresponding defect engineering strategies to design new microstructures, both
homogeneous and heterogeneous / hierarchical for unprecedented properties.
The eighth “Frontiers in Solidification" symposium will provide a forum to
present and discuss the latest advances in the field of Solidification Science.
The main focus will be on the fundamental aspects of solidification, with the
aim of advancing our understanding of how microstructures develop and evolve
during solidification experiments or processes. Beyond solidification,
contributions that investigate melting phenomena are also encouraged. The
widest range of investigation methods are considered, including theory,
experiments, characterization, modeling across all relevant length and time
scales, as well as data-driven approaches. Contributions will put forward
original interpretations, observations of novel phenomena, and/or outstanding
challenges from both fundamental and applied perspectives, as well as transfer
of fundamental knowledge to practical applications. Contributions that combine
novel characterization techniques, challenging property measurements, and
computational simulations across scales are especially encouraged.
Topics of interest include:
• Nucleation
• Growth
• Melting
• Interfaces and boundaries (solid-liquid, solid-solid, stability,
anisotropy, kinetics,...)
• Pattern formation (cellular, dendritic, eutectic, peritectic,...)
• Fluid flow and gravity effect on microstructure formation and evolution
• Segregation and defects
• In-situ and time-resolved imaging of microstructures
• Theory and modeling across all relevant length scales
• Emerging processing techniques (e.g. additive manufacturing)
• Data-driven methods in solidification science
Phase transformation is still one of the most effective and efficient means to
produce desired microstructures in materials for various applications. This
symposium is a continuation of a series of annual TMS symposia focusing on
phase transformations and microstructural evolution during materials processing
or under service conditions. It intends to bring together experimental,
theoretical and computational experts to assess the current status of theories
of phase transformations and microstructure evolution primarily in the solid
states. In addition to fundamental understanding of the mechanisms underlying
phase transformations and microstructure evolution, attention will also be
given to microstructure engineering using emerging processing/manufacturing
techniques to fabricate advanced materials for both structural and functional
applications.
The topics of choice for this year include, but are not limited to:
1. Phase transformations in steels and ferrous alloys, non-ferrous alloys (such
as Ti, Ni, Al, Zr), ceramics, semiconductors and other materials for both
structural and functional applications;
2. Phase transformations and microstructure evolution in high-entropy alloys
(HEA);
3. Phase transformations under far-from-equilibrium processing conditions or
complex thermal histories;
4. Advanced defect engineering technique assisted by phase transformation;
5. Understanding transformation pathways and metastable microstructures in
solid phase processing of materials using shear deformation;
6. The application of data science and advanced characterization techniques
(both in-situ and ex-situ) in understanding and discovery of transformation
pathway and microstructure signature along it during phase transformations
As the metal Additive Manufacturing (AM) technology evolves and becomes a
viable option for actual component production, a better understanding of the
fundamentals and particularities associated with phase transformations
involving both, liquid and solid, during the printing process, post-processing
and service of additive manufactured materials becomes extremely important. The
differentiated microstructures associated with AM and their relationship with
the materials and components performance can only be fully understood, modeled
and engineered if the phase transformations that have been involved on their
formation and evolution are adequately understood. Therefore, this symposium
will bring together both the phase transformations and additive manufacturing
communities to address fundamental and applied aspects of phase transformations
on additive manufactured materials. The topics of interest include, but are not
limited to:
• Solidification and liquation phenomena, including the resultant chemical
segregation;
• Solid state transformations during the printing, post-processing and service
of metallic materials;
• Effects of segregation profiles, impurities content and distribution,
crystallographic texture, and residual stresses on liquid-solid and solid-solid
phase transformations;
• Relationships between phase transformations and defect formation during
additive manufacturing and the use of fundamental understanding to propose
engineering solutions;
• Modeling and simulation of phase transformations associated to AM and AM
materials;
• Interdependence of thermo-mechanical conditions and phase transformations on
the microstructural evolution and final materials performance;
• The use of conventional and advance phase transformation models on the design
and optimization of alloys better suited for different AM processes.
As computational approaches to study the science and engineering of materials
become more mature, it is critical to develop, improve, and validate techniques
and algorithms that leverage ever-expanding computational resources. These
algorithms can impact areas such as: data acquisition and analysis from
sophisticated microscopes and state-of-the-art light source facilities,
analysis and extraction of quantitative metrics from numerical simulations of
materials behavior, and the ability to leverage specific computer architectures
for revolutionary improvements in simulation analysis time, power, and
capability.
This symposium solicits abstract submissions from researchers who are
developing new algorithms and/or designing new methods for performing
computational research in materials science and engineering. Validation studies
and uncertainty quantification of computational methodologies are equally of
interest. Session topics include, but are not limited to:
- Advancements that enhance modeling and simulation techniques such as density
functional theory, molecular dynamics, Monte Carlo simulation, dislocation
dynamics, electronic-excited states, phase-field modeling, CALPHAD, and finite
element analysis;
- Advancements in semi-empirical models and machine learning algorithms for
interatomic interactions;
- New techniques for simulating the complex behavior of materials at different
length and time scales;
- Computational methods for analyzing results from simulations of materials
phenomena;
- Approaches for data mining, machine learning, image processing, high
throughput databases, high throughput experiments, and extracting useful
insights from large data sets of numerical and experimental results;
- Uncertainty quantification, model comparisons and validation studies related
to novel algorithms and/or methods in computational material science.
Atom probe tomography (APT), is an emergent characterization technique that is
capable of determining the chemical identity of each individual atom and
generating 3D chemical maps imaging the distribution of individual atoms. The
technique offers high spatial resolution (better than 0.3 nm achievable in all
directions) and high analytical sensitivity (as good as 7 appm). APT provides
information on elemental composition of the specimen, 3D visualization of
distribution of atoms, composition of phases, morphology and size of
precipitates, and solute distribution across interfaces, at grain boundaries
and along dislocations. In many APT analyses, crystallographic information has
been retained within the data, with the potential to directly relate the
composition of specific microstructural features to their crystallography with
unprecedented sensitivity and resolution. APT can be utilized in many different
fields for advanced imaging and analysis of metals, minerals and materials,
despite some limitations.
This symposium is designed to bring together scientists, engineers and
technicians from across disciplines to discuss the technique of APT, its
applications and limitations. The symposium will encompass research and
applications spanning a wide variety of topics. Presentations on experimental,
theoretical, and modeling research are solicited. Topics for this symposium
include, but are not limited to:
Applications of APT in advanced characterization of metals, minerals and
materials
3D reconstruction and data analysis
Impact of specimen and instrument parameters and optimization of acquisition
conditions
Specimen preparation techniques
Limitations of APT
Progress in APT technique
Correlative techniques
Modelling and simulation
The demand for materials meeting higher requirements has driven the development
of novel alloys over the past decades. Some of the examples include metastable
austenite in TRIP, TWIP and Q&P steels, beta-stabilised titanium alloys, gamma
double prime precipitates in nickel superalloys, high entropy
alloys,quasicrystals, and spinodal decomposition during ageing of aluminium
alloys. The foundation of all these technological leaps is in the design and
control of metastable phases, where, outstanding properties are achieved
through a combination of carefully tailored chemical composition and thermal
processing.
The symposium aims at providing a forum for discussion towards designing the
next generation of alloys.
The microstructural template based on a homogeneous distribution of ordered
precipitates (such as L12 or DO22) within a face-centered cubic (FCC) matrix,
is one of the most prevalent templates used in multiple alloy systems including
nickel-base and cobalt-base superalloys, austenitic steels, aluminum-base
alloys, and more recently in high entropy alloys, or complex concentrated
alloys. These ordered precipitates have been established to be potent
strengtheners, both at room and at elevated temperatures, in case of these
alloy systems. The present symposium is an attempt to bring together the
different communities working on these alloy systems under one umbrella. The
areas of interest include, the mechanism of precipitation of the ordered phase
within the FCC solid solution matrix, distribution of the alloying elements
between matrix and precipitate, other related phase transformations, and the
influence of these on the overall microstructural evolution and mechanical
properties of these alloys. Both experimental and computational work on these
topics are welcome. We strongly encourage researchers working in this field,
but often on different alloy systems, to participate in this unique symposium.
Phase transformation is still one of the most effective and efficient means to
produce desired microstructures in materials for various applications. This
symposium is a continuation in a series of annual TMS symposia focusing on
phase transformations and microstructural evolution in materials during
processing and in service. It intends to bring together experimental,
theoretical and computational experts to assess the current status of theories
of phase transformations and microstructure evolution primarily in the solid
states. In addition to fundamental understanding of the mechanisms underlying
phase transformations and microstructure evolution; attention will also be
given to the utilization of unique transformation pathways to develop novel
microstructures for advanced structural and functional materials.
The topics of choice for this year include, but are not limited to:
- Phase transformations in steels and ferrous alloys, non-ferrous alloys,
ceramics, and other materials
- Phase transformations under far-from-equilibrium-condition processing or
complex thermal histories
- Control phase transitions via defect engineering
- Materials defects induced by phase transformation
- Computation, data science and experimentation in the understanding of phase
transformations
Currently, an immense effort is being put into implementing AM built components
in demanding industrial applications. This requires the understanding of the
stability of AM microstructures in service, including high load and temperature
conditions. Presently, most feasibility studies are limited to existing
commercial alloy compositions. Nevertheless, the uniqueness of AM technology
opens new opportunities for the design of future alloys specifically tailored
for the AM process and its application. The aim of this symposium is to provide
a forum for presenting the latest progress towards the future of AM. Topics of
interest include, but are not limited to:
(1) Microstructural response of AM components to post-processing conditions.
(2) Simulation/modelling of phase transformations and microstructure stability
of AM components during service.
(3) Novel alloy design tailored for AM.
(4) Extension of these concepts to high temperature Fe-, Co-, Ni- alloys
currently not available as commercial AM product.
As computational approaches to study the science and engineering of materials
become more mature, it is critical to develop and improve techniques and
algorithms that leverage ever-expanding computational resources. These
algorithms can impact areas such as: data acquisition and analysis from
sophisticated microscopes and state-of-the-art light source facilities,
analysis and extraction of quantitative metrics from numerical simulations of
materials behavior, and the ability to leverage specific computer architectures
for revolutionary improvements in simulation analysis time, power, and
capability.
This symposium solicits abstract submissions from researchers who are
developing new algorithms and/or designing new methods for performing
computational research in materials science and engineering. Session topics
include, but are not limited to:
- Advancements that enhance modeling and simulation techniques such as density
functional theory, molecular dynamics, Monte Carlo simulation, dislocation
dynamics, phase-field modeling, CALPHAD, and finite element analysis,
- New techniques for simulating the complex behavior of materials at different
length and time scales,
- Computational methods for analyzing results from simulations of materials
phenomena, and
- Approaches for data mining, machine learning, high throughput databases, high
throughput experiments, and extracting useful insights from large data sets of
numerical and experimental results.
Atom probe tomography (APT), is an emergent characterization technique that is
capable of determining the chemical identity of each individual atom and
generating 3D chemical maps imaging the distribution of individual atoms. The
technique offers high spatial resolution (better than 0.3 nm achievable in all
directions) and high analytical sensitivity (as good as 7 appm). APT provides
information on elemental composition of the specimen, 3D visualization of
distribution of atoms, composition of phases, morphology and size of
precipitates, and solute distribution across interfaces, at grain boundaries
and along dislocations. In many APT analyses, crystallographic information has
been retained within the data, with the potential to directly relate the
composition of specific microstructural features to their crystallography with
unprecedented sensitivity and resolution. APT can be utilized in many different
fields for advanced imaging and analysis of metals, minerals and materials,
despite some limitations.
This symposium is designed to bring together scientists, engineers and
technicians from across disciplines to discuss the technique of APT, its
applications and limitations. The symposium will encompass research and
applications spanning a wide variety of topics. Presentations on experimental,
theoretical, and modeling research are solicited. Topics for this symposium
include, but are not limited to:
- Applications of APT in advanced characterization of metals, minerals and
materials
- 3D reconstruction and data analysis
- Impact of specimen and instrument parameters and optimization of acquisition
conditions
- Specimen preparation techniques
- Limitations of APT
- Progress in APT technique
- Correlative techniques
- Modelling and simulation
Irradiation of materials, including those used in nuclear reactor applications,
may alter phase stability or phase transformation kinetics, resulting in
unexpected or undesired phases or microstructures. These microstructures may
result in unexpected or unpredictable performance characteristics. Topics of
interest include, but are not limited to:
• Irradiation altered kinetics
• Phase transformations at constant chemical compositions
• Crystal structure change and polymorphism
• Disordering
• Amorphization
• Phase transformations with chemical composition changes
• Precipitate dissolution
• Segregation and precipitation
• Effect of phase transformations on mechanical properties or material
functionality
• Synergistic computational and experimental studies
Fundamental understanding of the mechanisms contributing to the above topics
are of interest, as well as practical understanding that leads to greater
understanding of these effects on in-service performance.
Phase transformation is one of the most potent and efficient means to produce
desired microstructures in materials for various applications. This symposium
is a continuation in a series of annual TMS symposia focusing on phase
transformations and microstructural evolution in materials during processing
and in service. It intends to bring together experimental, theoretical and
computational experts to assess the current status of theories of phase
transformations and microstructure evolution primarily in the solid states. In
addition to fundamental understanding of the mechanisms underlying phase
transformations and microstructure evolution; attention will also be given to
the utilization of unique transformation pathways to develop novel
microstructures for advanced structural and functional materials.
The phase transformations topics of choice for this year include, but are not
limited to phase transformations in:
-Steels and ferrous alloys, non-ferrous alloys, ceramics, and other materials
-Shape memory materials
-in-situ and ex-situ characterization of transformation kinetics and
microstructure evolution
Planned publication: All oral presenters are invited to submit regular articles
in JOM (3000-6000 words and 8 Figures)