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A framework for materials informatics education through workshops

Journal Article · · MRS Bulletin
 [1];  [2];  [3];  [4];  [5];  [2]
  1. Purdue Univ., West Lafayette, IN (United States)
  2. National Inst. of Standards and Technology (NIST), Gaithersburg, MD (United States)
  3. Toyota Research Institute, Los Altos, CA (United States)
  4. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States). Center for Integrated Nanotechnologies
  5. Boston Univ., MA (United States)

The burgeoning field of materials informatics necessitates a focus on educating the next generation of materials scientists in the concepts of data science, artificial intelligence (AI), and machine learning (ML). In addition to incorporating these topics in undergraduate and graduate curricula, regular hands-on workshops present the most effective medium to initiate researchers to informatics and have them start applying the best AI/ML tools to their own research. With the help of the Materials Research Society (MRS), members of the MRS AI Staging Committee, and a dedicated team of instructors, we successfully conducted workshops covering the essential concepts of AI/ML as applied to materials data, at both the Spring and Fall Meetings in 2022, with plans to make this a regular feature in future meetings. Here, in this article, we discuss the importance of materials informatics education via the lens of these workshops, including details such as learning and implementing specific algorithms, the crucial nuts and bolts of ML, and using competitions to increase interest and participation.

Research Organization:
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA); USDOE Laboratory Directed Research and Development (LDRD) Program; USDOE Office of Science (SC), Basic Energy Sciences (BES). Scientific User Facilities (SUF)
Grant/Contract Number:
NA0003525
OSTI ID:
2311573
Report Number(s):
SAND--2023-07627J
Journal Information:
MRS Bulletin, Journal Name: MRS Bulletin Journal Issue: 5 Vol. 48; ISSN 0883-7694
Publisher:
Materials Research SocietyCopyright Statement
Country of Publication:
United States
Language:
English

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