Work

A cooperative game for automated learning of elasto-plasticity knowledge graphs and models with AI-guided experimentation

Year: 2019

Type: article

Source: Computational Mechanics

DOI: 10.1007/s00466-019-01723-1

Authors: Kun Wang, WaiChing Sun, Qiang Du

Institution: Columbia University

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: green

Funders: National Science Foundation, U.S. Department of Energy, Air Force Office of Scientific Research, Army Research Office

Awards: G1346105769, G2333506207, G3036909949, G3057678246, SHF: Medium: Collaborative Research: Formal Analysis and Synthesis of Multiagent Systems with Incentives, A Phase Field Arlequin Model for Resolving Nonlocal Hydromechanical Effects of Porous Media Across Time and Spatial Scales, DMREF: Deblurring our View of Atomic Arrangements in Complex Materials for Advanced Technologies, AN INTEGRATED MULTISCALE EXPERIMENTAL-NUMBERICAL ANALYSIS ON RE-CONSOLICATION OF SALE-CLAY MIXURE FOR DISPOSAL OF HEAT-GENERATING WASTE.

OpenAlex ID: W2949072809

FWCI: 2.344

Cites: 86

Cited by: 55

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