Work

Partnerships and collaboration drive innovative graduate training in materials informatics

Year: 2024

Type: article

Abstract: Holistic and intentional training prepares next-generation materials informatics leaders and workforce for expedited materials discovery and design.

Source: Science Advances

DOI: 10.1126/sciadv.adp7446

Authors: Angela M. Slates, Shana L. McAlexander, Jennifer Nolan, Juan de Pablo, Junhong Chen, Harley T. Johnson, L. Catherine Brinson

Institutions: University of Illinois Urbana-Champaign, National Center for Supercomputing Applications, Duke University, University of Chicago, Argonne National Laboratory

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: gold

Estimated APC paid: $4,500

Funder: National Science Foundation

Awards: NRT-HDR: Data and Informatics Graduate Intern-traineeship: Materials at the Atomic Scale (DIGI-MAT), NRT-HDR: AI-enabled Molecular Engineering of Materials and Systems (AIMEMS), NRT-HDR: Harnessing AI for Understanding & Designing Materials (aiM)

OpenAlex ID: W4396541918

FWCI: 0.293

Cites: 9

Cited by: 3

Related to: 10