Generative Retrieval-Augmented Ontologic Graph and Multiagent Strategies for Interpretive Large Language Model-Based Materials Design-Reference-Cited by-同舟云学术

Generative Retrieval-Augmented Ontologic Graph and Multiagent Strategies for Interpretive Large Language Model-Based Materials Design

Published:2024-01-12 Issue: Volume: Page:
ISSN:2694-2488
Container-title:ACS Engineering Au
language:en
Short-container-title:ACS Eng. Au

Author:

Buehler Markus J.¹²³⁴^ORCID

Affiliation:

1. Laboratory for Atomistic and Molecular Mechanics (LAMM), Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, Massachusetts 02139, United States

2. Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, Massachusetts 02139, United States

3. Department of Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, Massachusetts 02139, United States

4. Center for Computational Science and Engineering, Schwarzman College of Computing, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, Massachusetts 02139, United States

Funder

Army Research Office

Massachusetts Institute of Technology

Office of Naval Research

MIT-IBM Watson AI Lab

National Institutes of Health

U.S. Department of Agriculture

Publisher

American Chemical Society (ACS)

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

https://pubs.acs.org/doi/pdf/10.1021/acsengineeringau.3c00058

Reference108 articles.

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