Verma, Ashwini
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1

Solid state hydrogen storage: Decoding the path through mac..:

Verma, Ashwini ; Wilson, Nikhil ; Joshi, Kavita
International Journal of Hydrogen Energy.  50 (2024)  - p. 1518-1528 , 2024
 
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3

MeGen - generation of gallium metal clusters using reinforc..:

Modee, Rohit ; Verma, Ashwini ; Joshi, Kavita.
Machine Learning: Science and Technology.  4 (2023)  2 - p. 025032 , 2023
 
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4

DART: deep learning enabled topological interaction model f..:

Modee, Rohit ; Agarwal, Sheena ; Verma, Ashwini..
Physical Chemistry Chemical Physics.  23 (2021)  38 - p. 21995-22003 , 2021
 
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Malware Detection Approaches using Machine Learning Techniq..:

, In: 2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N),
Verma, Ashwini Kumar ; Sharma, Sanjay Kumar - p. 1958-1962 , 2021
 
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Synthesis and Characterization of a Novel γ-Aminobutyric Ac..:

Poe, Michael M. ; Methuku, Kashi Reddy ; Li, Guanguan...
Journal of Medicinal Chemistry.  59 (2016)  23 - p. 10800-10806 , 2016
 
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11

Estimation of anti-SARS-CoV-2 IgG titre among blood donors ..:

Sushma Kumari ; Usha Saroj ; Ashwini Verma.
http://www.jfmpc.com/article.asp?issn=2249-4863;year=2022;volume=11;issue=10;spage=6385;epage=6389;aulast=Kumari.  , 2022
 
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12

DART: Deep Learning Enabled Topological Interaction Model f..:

Rohit Modee (10838142) ; Sheena Agarwal (10870817) ; Ashwini Verma (10870818)..
https://figshare.com/articles/preprint/DART_Deep_Learning_Enabled_Topological_Interaction_Model_for_Energy_Prediction_of_Metal_Clusters_and_its_Application_in_Identifying_Unique_Low_Energy_Isomers/14672682.  , 2021
 
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15

Challenges in the adoption of building information technolo..:

Sao, Ameet ; Goswami, Ashwini ; Verma, Ankita..
Journal of Information and Optimization Sciences.  44 (2024)  8 - p. 1577-1593 , 2024
 
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