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Journal of Physics. Condensed Matter : an Institute of Physics Journal
|
June 24, 2024
Comparison of lattice thermal conductivity using<i>ab-initio</i>DFT, machine learning interatomic potentials, and temperature dependent effective potential: a case study of hexagonal BN and BP bilayer
Harpriya Minhas, Arnab Majumdar, Biswarup Pathak
Nanoscale
|
October 31, 2024
High-throughput screening of bifunctional catalysts for oxygen evolution/reduction reaction at the subnanometer regime
Rahul Kumar Sharma, Harpriya Minhas, Biswarup Pathak
The Journal of Physical Chemistry Letters
|
May 13, 2025
Exploring Combined Stereochemically Active Lone-Pair and Rattling Effects in Thermoelectrics with Machine Learning Potentials
Harpriya Minhas, Rahul Kumar Sharma, Biswarup Pathak
The Journal of Physical Chemistry Letters
|
February 18, 2026
Unraveling Scaling Relationships in Dual-Atom Catalysts with Electronic Descriptors: A Machine Learning Investigation for OER/ORR Activity
Rahul Kumar Sharma, Harpriya Minhas, Biswarup Pathak
ACS Applied Materials & Interfaces
|
July 3, 2025
Machine Learning-Guided Discovery of Alloy Nanoclusters: Steering Morphology-Based Activity and Selectivity Relationships in Bifunctional Electrocatalysts
Rahul Kumar Sharma, Harpriya Minhas, Biswarup Pathak
ACS Applied Materials & Interfaces
|
October 25, 2025
Antibonding States Drive Anharmonicity and Low Thermal Conductivity in Edge-Sharing Metal Chalcogenides
Harpriya Minhas, Rahul Kumar Sharma, Biswarup Pathak
Small (Weinheim an Der Bergstrasse, Germany)
|
January 30, 2026
Deciphering Key Descriptors for Scaling Relationships in Graphene-Supported Pt<sub>n</sub> Clusters via Machine Learning
Sarthak Maity, Rahul Kumar Sharma, Harpriya Minhas, et al.
ACS Applied Materials & Interfaces
|
November 11, 2024
Machine-Learning-Assisted Screening of Nanocluster Electrocatalysts: Mapping and Reshaping the Activity Volcano for the Oxygen Reduction Reaction
Rahul Kumar Sharma, Milan Kumar Jena, Harpriya Minhas, et al.
Small (Weinheim an Der Bergstrasse, Germany)
|
March 4, 2025
Harnessing the Synergistic Effects of Ir Co-Decorated NiMn-LDH: a Multi-Analytical Approach to Boost Electrocatalytic Overall Water Splitting Activity in Alkaline Condition
Sreenivasan Nagappan, Harpriya Minhas, Rajashri R Urkude, et al.
Small Methods
|
December 17, 2024
Unraveling the Synergistic Role of Sm<sup>3+</sup> Doped NiFe-LDH as High-Performance Electrocatalysts for Improved Anion Exchange Membrane and Water Splitting Applications
Sreenivasan Nagappan, Hemalatha Gurusamy, Harpriya Minhas, et al.
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Search research articles
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Showing results (1-10 of 11) with videos related to
Sort By:
Page
of 2
Journal of Physics. Condensed Matter : an Institute of Physics Journal
|
June 24, 2024
Comparison of lattice thermal conductivity using<i>ab-initio</i>DFT, machine learning interatomic potentials, and temperature dependent effective potential: a case study of hexagonal BN and BP bilayer
Harpriya Minhas, Arnab Majumdar, Biswarup Pathak
Nanoscale
|
October 31, 2024
High-throughput screening of bifunctional catalysts for oxygen evolution/reduction reaction at the subnanometer regime
Rahul Kumar Sharma, Harpriya Minhas, Biswarup Pathak
The Journal of Physical Chemistry Letters
|
May 13, 2025
Exploring Combined Stereochemically Active Lone-Pair and Rattling Effects in Thermoelectrics with Machine Learning Potentials
Harpriya Minhas, Rahul Kumar Sharma, Biswarup Pathak
The Journal of Physical Chemistry Letters
|
February 18, 2026
Unraveling Scaling Relationships in Dual-Atom Catalysts with Electronic Descriptors: A Machine Learning Investigation for OER/ORR Activity
Rahul Kumar Sharma, Harpriya Minhas, Biswarup Pathak
ACS Applied Materials & Interfaces
|
July 3, 2025
Machine Learning-Guided Discovery of Alloy Nanoclusters: Steering Morphology-Based Activity and Selectivity Relationships in Bifunctional Electrocatalysts
Rahul Kumar Sharma, Harpriya Minhas, Biswarup Pathak
ACS Applied Materials & Interfaces
|
October 25, 2025
Antibonding States Drive Anharmonicity and Low Thermal Conductivity in Edge-Sharing Metal Chalcogenides
Harpriya Minhas, Rahul Kumar Sharma, Biswarup Pathak
Small (Weinheim an Der Bergstrasse, Germany)
|
January 30, 2026
Deciphering Key Descriptors for Scaling Relationships in Graphene-Supported Pt<sub>n</sub> Clusters via Machine Learning
Sarthak Maity, Rahul Kumar Sharma, Harpriya Minhas, et al.
ACS Applied Materials & Interfaces
|
November 11, 2024
Machine-Learning-Assisted Screening of Nanocluster Electrocatalysts: Mapping and Reshaping the Activity Volcano for the Oxygen Reduction Reaction
Rahul Kumar Sharma, Milan Kumar Jena, Harpriya Minhas, et al.
Small (Weinheim an Der Bergstrasse, Germany)
|
March 4, 2025
Harnessing the Synergistic Effects of Ir Co-Decorated NiMn-LDH: a Multi-Analytical Approach to Boost Electrocatalytic Overall Water Splitting Activity in Alkaline Condition
Sreenivasan Nagappan, Harpriya Minhas, Rajashri R Urkude, et al.
Small Methods
|
December 17, 2024
Unraveling the Synergistic Role of Sm<sup>3+</sup> Doped NiFe-LDH as High-Performance Electrocatalysts for Improved Anion Exchange Membrane and Water Splitting Applications
Sreenivasan Nagappan, Hemalatha Gurusamy, Harpriya Minhas, et al.
Page
of 2