Core Knowledge and Skills for Effective Use of Advanced Computation and Data in Materials and Manufacturing

Advanced computation and data science tools have the potential to transform fundamental research, enhancing researchers’ productivity and catalyzing new discoveries in materials and manufacturing. To define core knowledge and competencies essential to the use of these tools in fundamental materials and manufacturing research, TMS, on behalf of the National Science Foundation, convened leading researchers and practitioners in materials science and engineering, manufacturing, mechanical engineering, and other disciplines for a one-day workshop on the topic held concurrently with the TMS 2018 Annual Meeting & Exhibition. The output of that workshop will be a report on Core Knowledge and Skills for Effective Use of Advanced Computation and Data in Materials and Manufacturing, set to be released by TMS in September 2018. Developed as a roadmap for enhanced education and training activities, Core Knowledge is intended to empower both current researchers and the future science and engineering workforce.

Sign Up for Updates

Be among the first to know when Core Knowledge and Skills for Effective Use of Advanced Computation and Data in Materials and Manufacturing is available for free download. Sign up today to receive an e-mail alert when the report is released.

Workshop Plenary Presentations

"Digitization of Materials Innovation in support of Advanced Manufacturing"
Surya Kalidindi
Georgia Institute of Technology

"Advanced Computing for Materials and Manufacturing"
Somnath Ghosh
Johns Hopkins University

"Manufacturing and Uncertainty"
Tony Schmitz
University of North Carolina, Charlotte

Workshop Participants

  • Pinar Acar
    Virginia Polytechnic and State University

  • Ankit Agrawal
    Northwestern University

  • Raymundo Arroyave
    Texas A&M University

  • Mohsen Asle Zaeem
    Missouri University of Science & Technology

  • Marco Buongiorno Nardelli
    University of North Texas

  • Jennifer Carter
    Case Western Reserve University

  • Wei Chen
    Northwestern University

  • Kevin Chou
    University of Louisville

  • Joanne Culbertson
    U.S. National Science Foundation

  • Gregory Deirlein
    Stanford University

  • Roger Ghanem
    University of Southern California

  • Somnath Ghosh
    Johns Hopkins University

  • Louis Hector
    General Motors Global R&D

  • Zubaer Hossain
    University of Delaware

  • Surya Kalidindi
    Georgia Institute of Technology

  • Marko Knezevic
    University of New Hampshire

  • Alexis Lewis
    U.S. National Science Foundation

  • Bin Li
    University of Nevada, Reno

  • Bo Li
    Case Western Reserve University

  • Gang Li
    Clemson University

  • Xiaochun Li
    University of California, Los Angeles

  • Zi-Kui Liu
    Pennsylvania State University

  • Turab Lookman
    Los Alamos National Laboratory

  • Marianna Maiaru
    University of Massachusetts, Lowell

  • David McDowell
    Georgia Institute of Technology

  • Caglar Oskay
    Vanderbilt University

  • Siddiq Qidwai
    U.S. National Science Foundation

  • Tony Schmitz
    University of North Carolina, Charlotte

  • Alejandro Strachan
    Purdue University

  • Wai Ching Sun
    Columbia University

  • Veera Sundararaghavan
    University of Michigan

  • Yan Wang
    Georgia Institute of Technology

  • Ji-Cheng Zhao
    The Ohio State University


Planning Team

David L McDowell, Team Co-Chair
Georgia Institute of Technology

Veera Sundararaghavan, Team Co-Chair
University of Michigan

Raymundo Arroyave
Texas A&M University

Tony Schmitz
University of North Carolina, Charlotte

Michael Tonks
University of Florida

Related TMS Studies