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S

Siddarth K. Achar

University of Pittsburgh

7H指数
18论文数
168被引数
收录论文 9
发表时间
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Proton Transport on Graphamine: A Deep-Learning Potential Study石墨胺上的质子传输：基于深度学习势能的研究
errThe Journal of Physical Chemistry C
IF3.2
err2025-11-14
err0
errOAAI
errLakshmi Y. Ananthabhotla; Siddarth K. Achar; J. Karl Johnson
err分享
err收藏
Leveraging Ligand Steric Demand to Control Ligand Exchange and Domain Composition in Stratified Metal-Organic Frameworks
errANGEWANDTE CHEMIE-INTERNATIONAL EDITION
IF16.9
err2024-09-12
err0
errOAAI
errHe, Yiwen; De Souza, Mattheus; Luo, Tian-Yi; Achar, Siddarth K.; Johnson, J. Karl; Rosi, Nathaniel L.
err分享
err收藏
Machine Learning Electron Density Prediction Using Weighted Smooth Overlap of Atomic Positions
errNANOMATERIALS
IF4.3
err2023-06-13
err6
errOAAI
errAchar, Siddarth K.; Bernasconi, Leonardo; Johnson, J. Karl
err分享
err收藏
In Silico Demonstration of Fast Anhydrous Proton Conduction on Graphanol
errACS APPLIED MATERIALS & INTERFACES
IF8.2
err2023-05-16
err6
errOAAI
errAchar, Siddarth K. K.; Bernasconi, Leonardo; DeMaio, Ruby I. I.; Howard, Katlyn R. R.; Johnson, J. Karl
err分享
err收藏
Using Machine Learning Potentials to Explore Interdiffusion at Metal-Chalcogenide Interfaces使用机器学习潜力探索金属-硫属化物界面的相互扩散
errACS APPLIED MATERIALS & INTERFACES
IF8.2
err2022-12-14
err10
PREAI
errAchar, Siddarth K.; Schneider, Julian; Stewart, Derek A.
err分享
err收藏
Combined Deep Learning and Classical Potential Approach for Modeling Diffusion in UiO-66
errJOURNAL OF CHEMICAL THEORY AND COMPUTATION
IF5.5
err2022-06-02
err37
PREAI
errAchar, Siddarth K.; Wardzala, Jacob J.; Bernasconi, Leonardo; Zhang, Linfeng; Johnson, J. Karl
err分享
err收藏
Evaluation of the degree of rate control via automatic differentiation
errAICHE JOURNAL
IF4
err2022-03-02
err5
errOAAI
errYang, Yilin; Achar, Siddarth K.; Kitchin, John R.
err分享
err收藏
Efficiently Trained Deep Learning Potential for Graphane
errJOURNAL OF PHYSICAL CHEMISTRY C
IF3.2
err2021-07-01
err23
PREAI
errAchar, Siddarth K.; Zhang, Linfeng; Johnson, J. Karl
err分享
err收藏
Reactive Active Learning: An Efficient Approach for Training Machine Learning Interatomic Potentials for Reacting Systems反应性主动学习：一种用于训练机器学习反应系统原子间势能的高效方法
errJournal of Chemical Theory and Computation
IF5.5
err
err0
errOAAI
errSiddarth K. Achar; Priyanka B. Shukla; Chinmay V. Mhatre; Leonardo Bernasconi; Caitlyn Y. Vinger; J. Karl Johnson
err分享
err收藏

研究方向

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合作学者
合作期刊
N
Nathaniel L. Rosi
H 指数: 70 · 论文数: 250
J
J. Karl Johnson
H 指数: 69 · 论文数: 265
L
Linfeng Zhang
H 指数: 50 · 论文数: 436
J
John R. Kitchin
H 指数: 45 · 论文数: 252
D
Derek A. Stewart
H 指数: 30 · 论文数: 126
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