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Achar, Siddarth K.
108
results:
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Online (108)
Mediatypes
Articles (Online) (88)
Bookchapter (Online) (14)
OpenAccess-fulltext (6)
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1
Machine Learning Electron Density Prediction Using Weighted..:
Achar, Siddarth K.
;
Bernasconi, Leonardo
;
Johnson, J. Karl
Nanomaterials. 13 (2023) 12 - p. 1853 , 2023
Link:
https://doi.org/10.3390/..
?
2
In Silico Demonstration of Fast Anhydrous Proton Conduction..:
Achar, Siddarth K.
;
Bernasconi, Leonardo
;
DeMaio, Ruby I.
..
ACS Applied Materials & Interfaces. 15 (2023) 21 - p. 25873-25883 , 2023
Link:
https://doi.org/10.1021/..
?
3
Deep-learning potentials for proton transport in double-sid..:
Achar, Siddarth K.
;
Bernasconi, Leonardo
;
Alvarez, Juan J.
.
Journal of Materials Research. 38 (2023) 24 - p. 5114-5124 , 2023
Link:
https://doi.org/10.1557/..
?
4
Combined Deep Learning and Classical Potential Approach for..:
Achar, Siddarth K.
;
Wardzala, Jacob J.
;
Bernasconi, Leonardo
..
Journal of Chemical Theory and Computation. 18 (2022) 6 - p. 3593-3606 , 2022
Link:
https://doi.org/10.1021/..
?
5
Evaluation of the degree of rate control via automatic diff..:
Yang, Yilin
;
Achar, Siddarth K.
;
Kitchin, John R.
AIChE Journal. 68 (2022) 6 - p. , 2022
Link:
https://doi.org/10.1002/..
?
6
Using Machine Learning Potentials to Explore Interdiffusion..:
Achar, Siddarth K.
;
Schneider, Julian
;
Stewart, Derek A.
ACS Applied Materials & Interfaces. 14 (2022) 51 - p. 56963-56974 , 2022
Link:
https://doi.org/10.1021/..
?
7
Efficiently Trained Deep Learning Potential for Graphane:
Achar, Siddarth K.
;
Zhang, Linfeng
;
Johnson, J. Karl
The Journal of Physical Chemistry C. 125 (2021) 27 - p. 14874-14882 , 2021
Link:
https://doi.org/10.1021/..
?
8
Machine Learning Electron Density Prediction Using Weighted..:
Achar, Siddarth K
;
Bernasconi, Leonardo
;
Johnson, J. Karl
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10303543/. , 2023
Link:
http://www.ncbi.nlm.nih...
?
9
Machine Learning Electron Density Prediction Using Weighted..:
Siddarth K. Achar
;
Leonardo Bernasconi
;
J. Karl Johnson
Theory and Simulation of Nanostructures. , 2023
Link:
https://doi.org/10.3390/..
?
10
Machine Learning Electron Density Prediction Using Weighted..:
Siddarth K. Achar
;
Leonardo Bernasconi
;
J. Karl Johnson
https://www.mdpi.com/2079-4991/13/12/1853. , 2023
Link:
https://doi.org/10.3390/..
?
11
Efficiently Trained Deep Learning Potential for Graphane:
Siddarth K. Achar (11061524)
;
Linfeng Zhang (4568230)
;
J. Karl Johnson (1519432)
https://figshare.com/articles/journal_contribution/Efficiently_Trained_Deep_Learning_Potential_for_Graphane/14896457. , 2021
Link:
https://doi.org/10.1021/..
?
12
Efficiently Trained Deep Learning Potential for Graphane:
Siddarth K. Achar (11061524)
;
Linfeng Zhang (4568230)
;
J. Karl Johnson (1519432)
https://figshare.com/articles/dataset/Efficiently_Trained_Deep_Learning_Potential_for_Graphane/14896454. , 2021
Link:
https://doi.org/10.1021/..
?
13
Using Machine Learning Potentials to Explore Interdiffusion..:
Siddarth K. Achar (11061524)
;
Julian Schneider (1342149)
;
Derek A. Stewart (1595500)
https://figshare.com/articles/journal_contribution/Using_Machine_Learning_Potentials_to_Explore_Interdiffusion_at_Metal_Chalcogenide_Interfaces/21724857. , 1753
Link:
https://doi.org/10.1021/..
?
14
Integration of Geological and Geophysical Approaches in Mee..:
Basu, Himadri
;
Chakravarthi, V.
;
Markandeyulu, A.
..
Journal of the Geological Society of India. 100 (2024) 3 - p. 311-319 , 2024
Link:
https://doi.org/10.17491..
?
15
Signature of potassium enrichment in granite of the Chitria..:
Rajaraman, H. S.
;
Nagendra Babu, G.
;
Chavan, S. J.
..
Journal of the Geological Society of India. 82 (2013) 1 - p. 53-58 , 2013
Link:
https://doi.org/10.1007/..
1-15