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Ju Li

Orcid: 0000-0002-7841-8058

Affiliations:
  • Massachusetts Institute of Technology, Department of Nuclear Science and Engineering & Department of Materials Science and Engineering, Cambridge, MA, USA
  • Ohio State University, Department of Materials Science and Engineering, Columbus, OH, USA


According to our database1, Ju Li authored at least 9 papers between 2007 and 2025.

Collaborative distances:

Timeline

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On csauthors.net:

Bibliography

2025
Author Correction: Approaching coupled-cluster accuracy for molecular electronic structures with multi-task learning.
[BibTeX]
[DOI]
Hao Tang
,
Brian Xiao
,
Wenhao He
,
Pero Subasic
,
Avetik R. Harutyunyan
,
Yao Wang
,
Fang Liu
,
Haowei Xu
,
Ju Li
Nat. Comput. Sci., February, 2025

Approaching coupled-cluster accuracy for molecular electronic structures with multi-task learning.
[BibTeX]
[DOI]
Hao Tang
,
Brian Xiao
,
Wenhao He
,
Pero Subasic
,
Avetik R. Harutyunyan
,
Yao Wang
,
Fang Liu
,
Haowei Xu
,
Ju Li
Nat. Comput. Sci., February, 2025

2024
Time mesh independent framework for learning materials constitutive relationships.
[BibTeX]
[DOI]
Marcello Laurenti
,
Qing-Jie Li
,
Ju Li
Eng. Appl. Artif. Intell., 2024

Multi-task learning for molecular electronic structure approaching coupled-cluster accuracy.
[BibTeX]
[DOI]
Hao Tang
,
Brian Xiao
,
Wenhao He
,
Pero Subasic
,
Avetik R. Harutyunyan
,
Yao Wang
,
Fang Liu
,
Haowei Xu
,
Ju Li
CoRR, 2024

Generative Model for Constructing Reaction Path from Initial to Final States.
[BibTeX]
[DOI]
Akihide Hayashi
,
So Takamoto
,
Ju Li
,
Daisuke Okanohara
CoRR, 2024

2023
Blind quantum machine learning with quantum bipartite correlator.
[BibTeX]
[DOI]
Changhao Li
,
Boning Li
,
Omar Amer
,
Ruslan Shaydulin
,
Shouvanik Chakrabarti
,
Guoqing Wang
,
Haowei Xu
,
Hao Tang
,
Isidor Schoch
,
Niraj Kumar
,
Charles Lim
,
Ju Li
,
Paola Cappellaro
,
Marco Pistoia
CoRR, 2023

Can ChatGPT be used to generate scientific hypotheses?
[BibTeX]
[DOI]
Yang Jeong Park
,
Daniel Kaplan
,
Zhichu Ren
,
Chia-Wei Hsu
,
Changhao Li
,
Haowei Xu
,
Sipei Li
,
Ju Li
CoRR, 2023

2019
TeaNet: universal neural network interatomic potential inspired by iterative electronic relaxations.
[BibTeX]
[DOI]
So Takamoto
,
Satoshi Izumi
,
Ju Li
CoRR, 2019

2007
Deciding the Nature of the Coarse Equation through Microscopic Simulations: The Baby-Bathwater Scheme.
[BibTeX]
[DOI]
Ju Li
,
Panayotis G. Kevrekidis
,
C. William Gear
,
Ioannis G. Kevrekidis
SIAM Rev., 2007


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