Materials laboratories of the future for alloys, amorphous, and composite materials
Abstract In alignment with the Materials Genome Initiative and as the product of a workshop sponsored by the US National Science Foundation, we define a vision for materials laboratories of the future in alloys, amorphous materials, and composite materials; chart a roadmap for realizing this vision; identify technical bottlenecks and barriers to access; and propose pathways to equitable and democratic access to integrated toolsets in a manner that addresses urgent societal needs, accelerates technological innovation, and enhances manufacturing competitiveness. Spanning three important materials classes, this article summarizes the areas of alignment and unifying themes, distinctive needs of different materials research communities, key science drivers that cannot be accomplished within the capabilities of current materials laboratories, and open questions that need further community input. Here, we provide a broader context for the workshop, synopsize the salient findings, outline a shared vision for democratizing access and accelerating materials discovery, highlight some case studies across the three different materials classes, and identify significant issues that need further discussion. Graphical abstract
Authors
- Sarbajit Banerjee (ORCID: https://orcid.org/0000-0002-2028-4675)
- Kasra Momeni (ORCID: https://orcid.org/0000-0002-4209-1129)
- Wenjun Cai
- David W. McComb (ORCID: https://orcid.org/0000-0003-3763-9652)
- Ian McCue (ORCID: https://orcid.org/0000-0002-9393-1255)
- Amit Misra (ORCID: https://orcid.org/0000-0003-3634-6823)
- Udo D. Schwarz (ORCID: https://orcid.org/0000-0002-5361-0342)
- Paul M. Voyles (ORCID: https://orcid.org/0000-0001-9438-4284)
- Brent C. Melot (ORCID: https://orcid.org/0000-0002-7078-8206)
- Karena W. Chapman (ORCID: https://orcid.org/0000-0002-8725-5633)
- Arun Devaraj (ORCID: https://orcid.org/0000-0003-1314-6212)
- Apurva Mehta (ORCID: https://orcid.org/0000-0003-0870-6932)
- Andrew M. Minor (ORCID: https://orcid.org/0000-0003-3606-8309)
- Jamie H. Warner (ORCID: https://orcid.org/0000-0002-1271-2019)
- Maria K. Y. Chan (ORCID: https://orcid.org/0000-0003-0922-1363)
- Nestor J. Zaluzec (ORCID: https://orcid.org/0000-0002-4857-3487)
- Sindee L. Simon (ORCID: https://orcid.org/0000-0001-7498-2826)
- Carlo U. Segre (ORCID: https://orcid.org/0000-0001-7664-1574)
- Miaofang Chi (ORCID: https://orcid.org/0000-0003-0764-1567)
- Sergei V. Kalinin (ORCID: https://orcid.org/0000-0001-5354-6152)
- Robert F. Klie (ORCID: https://orcid.org/0000-0003-4773-6667)
- Lori Graham‐Brady (ORCID: https://orcid.org/0000-0001-5040-4909)
- Alp Sehirlioglu (ORCID: https://orcid.org/0000-0002-9708-4049)
- Emmanuelle A. Marquis (ORCID: https://orcid.org/0000-0002-6476-2835)
- Craig M. Brown (ORCID: https://orcid.org/0000-0002-9637-9355)
- Niaz Abdolrahim (ORCID: https://orcid.org/0000-0002-9333-8179)
- Partha P. Mukherjee (ORCID: https://orcid.org/0000-0001-7900-7261)
- Gerald T. Seidler (ORCID: https://orcid.org/0000-0001-6738-7930)
- Krishna Rajan
- Beth S. Guiton (ORCID: https://orcid.org/0000-0002-9478-9190)
- Huinan Liu (ORCID: https://orcid.org/0000-0001-9366-6204)
- Joshua Agar (ORCID: https://orcid.org/0000-0001-5411-4693)
- Julia E. Medvedeva (ORCID: https://orcid.org/0000-0001-7142-1644)
- Mitra L. Taheri (ORCID: https://orcid.org/0000-0001-5349-1411)
- Joel F. Destino (ORCID: https://orcid.org/0000-0001-8100-027X)
- Ying Shirley Meng (ORCID: https://orcid.org/0000-0001-8936-8845)
- Melike Dizbay-Onat
- Ling Li (ORCID: https://orcid.org/0000-0002-4844-9996)
- Benji Maruyama (ORCID: https://orcid.org/0000-0002-3832-628X)
- B. Reeja-Jayan
- Ian G. Robertson
- Judith C. Yang
- Minghao Zhang (ORCID: https://orcid.org/0000-0001-9488-4959)
Institutions
- University of California, Riverside (US)
- Northwestern University (US)
- Creighton University (US)
- University of Southern California (US)
- Argonne National Laboratory (US)
- National Institute of Standards and Technology (US)
- State University of New York (US)
- University of Wisconsin–Madison (US)
- North Carolina State University (US)
- Pacific Northwest National Laboratory (US)
- University of Kentucky (US)
- Johns Hopkins University (US)
- Lawrence Berkeley National Laboratory (US)
- University of Pittsburgh (US)
- Duke University (US)
- University of Alabama (US)
- Illinois Institute of Technology (US)
- Brookhaven National Laboratory (US)
- University of Washington (US)
- Missouri University of Science and Technology (US)
- Purdue University West Lafayette (US)
- University of Michigan (US)
- Wright-Patterson Air Force Base (US)
- SLAC National Accelerator Laboratory (US)
- Knoxville College (US)
- Yale University (US)
- University of Illinois Chicago (US)
- University of Chicago (US)
- Material Sciences (United States) (US)
- NIST Center for Neutron Research (US)
- The Ohio State University (US)
- University of Rochester (US)
- Seattle University (US)
- Case Western Reserve University (US)
- Stony Brook University (US)
- University at Buffalo, State University of New York (US)
- Drexel University (US)
- Carnegie Mellon University (US)
- University of Tennessee at Knoxville (US)
- University of Pennsylvania (US)
- University of South Alabama (US)
- Virginia Tech (US)
- The University of Texas at Austin (US)
- Texas A&M University (US)
- University of California, Berkeley (US)
Publication Details
- Journal
- MRS Bulletin
- Published
- 2025-01-29
- DOI
- https://doi.org/10.1557/s43577-024-00846-y
- Citations
- 4
- Primary Topic
- Machine Learning in Materials Science
- Type
- article
- Field-Weighted Citation Impact
- 2.07
Funders
- National Science Foundation
- Division of Materials Research