E-LIB Suche - Ergebnisse für: Achar, Siddarth K

1

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/..

2

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/..

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

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/..

6

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/..

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/..