Li, Xuan, Cao, Yadi, Li, Minchen, Yang, Yin, Schroeder, Craig, and Jiang, Chenfanfu. PlasticityNet: Learning to Simulate Metal, Sand, and Snow for Optimization Time Integration. Retrieved from https://par.nsf.gov/biblio/10444770. Neural Information Processing Systems (NeurIPS). 2022. .
Li, Xuan, Cao, Yadi, Li, Minchen, Yang, Yin, Schroeder, Craig, & Jiang, Chenfanfu. PlasticityNet: Learning to Simulate Metal, Sand, and Snow for Optimization Time Integration. Neural Information Processing Systems (NeurIPS). 2022., (). Retrieved from https://par.nsf.gov/biblio/10444770.
Li, Xuan, Cao, Yadi, Li, Minchen, Yang, Yin, Schroeder, Craig, and Jiang, Chenfanfu.
"PlasticityNet: Learning to Simulate Metal, Sand, and Snow for Optimization Time Integration". Neural Information Processing Systems (NeurIPS). 2022. (). Country unknown/Code not available. https://par.nsf.gov/biblio/10444770.
@article{osti_10444770,
place = {Country unknown/Code not available},
title = {PlasticityNet: Learning to Simulate Metal, Sand, and Snow for Optimization Time Integration},
url = {https://par.nsf.gov/biblio/10444770},
abstractNote = {},
journal = {Neural Information Processing Systems (NeurIPS). 2022.},
author = {Li, Xuan and Cao, Yadi and Li, Minchen and Yang, Yin and Schroeder, Craig and Jiang, Chenfanfu},
}
Warning: Leaving National Science Foundation Website
You are now leaving the National Science Foundation website to go to a non-government website.
Website:
NSF takes no responsibility for and exercises no control over the views expressed or the accuracy of
the information contained on this site. Also be aware that NSF's privacy policy does not apply to this site.