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MeLM, a generative pretrained language modeling framework that solves
  forward and inverse mechanics problems

MeLM, a generative pretrained language modeling framework that solves forward and inverse mechanics problems

30 June 2023
Markus J. Buehler
    AI4CE
ArXivPDFHTML

Papers citing "MeLM, a generative pretrained language modeling framework that solves forward and inverse mechanics problems"

3 / 3 papers shown
Title
Machine Learning-Guided Design of Non-Reciprocal and Asymmetric Elastic
  Chiral Metamaterials
Machine Learning-Guided Design of Non-Reciprocal and Asymmetric Elastic Chiral Metamaterials
Lingxiao Yuan
Emma Lejeune
Harold S. Park
23
0
0
19 Apr 2024
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sébastien Bubeck
Varun Chandrasekaran
Ronen Eldan
J. Gehrke
Eric Horvitz
...
Scott M. Lundberg
Harsha Nori
Hamid Palangi
Marco Tulio Ribeiro
Yi Zhang
ELM
AI4MH
AI4CE
ALM
251
2,232
0
22 Mar 2023
Deep autoencoders for physics-constrained data-driven nonlinear
  materials modeling
Deep autoencoders for physics-constrained data-driven nonlinear materials modeling
Xiaolong He
Qizhi He
Jiun-Shyan Chen
AI4CE
PINN
SyDa
29
56
0
03 Sep 2022
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