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A
Akksay Singh
The University of Texas at Austin
1
H-index
4
Paper Count
10
Citation Count
0
Related Insights
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Published Papers
4
Publication Date
Publication Date
Impact Factor
Citations
Resolving Vacancy Clustering Mechanisms in Tungsten via Machine-Learning-Potential-Based Simulations at Experimental Time Scales
Acta Materialia
IF
9.3
2025-09-11
0
PRE
AI
Guo Wei; Zichen Song; Jie Hou; Jiaqi Wang; Akksay Singh; Lei Li
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Automatic Feature Selection for Atom-Centered Neural Network Potentials Using a Gradient Boosting Decision Algorithm
JOURNAL OF CHEMICAL THEORY AND COMPUTATION
IF
5.5
2024-11-19
0
PRE
AI
Li, Renzhe; Wang, Jiaqi; Singh, Akksay; Li, Bai; Song, Zichen; Zhou, Chuan; Li, Lei
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Uncertainty Based Machine Learning-DFT Hybrid Framework for Accelerating Geometry Optimization
JOURNAL OF CHEMICAL THEORY AND COMPUTATION
IF
5.5
2024-11-12
0
PRE
AI
Singh, Akksay; Wang, Jiaqi; Henkelman, Graeme; Li, Lei
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Local-environment-guided selection of atomic structures for the development of machine-learning potentials
JOURNAL OF CHEMICAL PHYSICS
IF
3.1
2024-02-21
5
PRE
AI
Li, Renzhe; Zhou, Chuan; Singh, Akksay; Pei, Yong; Henkelman, Graeme; Li, Lei
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Co-authors
Cooperation Journals
G
Graeme Henkelman
H-index: 89 · Papers: 465
裴
裴勇
(Yong Pei)
H-index: 63 · Papers: 397
B
Bai Li
H-index: 52 · Papers: 521
李蕾
(Lei Li)
H-index: 46 · Papers: 295
C
Chuan Zhou
H-index: 27 · Papers: 107
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