Ultralow thermal conductivity and high thermoelectric performance of γ-GeSe: Effects of dimensionality and thickness H Minhas, S Das, B Pathak ACS Applied Energy Materials 5 (8), 9914-9928, 2022 | 22 | 2022 |
Preparation, characterization and electromagnetic interference shielding effect of Ni-doped ZnO thin films H Minhas, D Kumar, A Kumar Materials Research Express 6 (10), 105049, 2019 | 15 | 2019 |
Insights of the efficient hydrogen evolution reaction performance in bimetallic Au 4 Cu 2 nanoclusters A Devi, H Minhas, L Sahoo, S Gratious, A Das, S Mandal, B Pathak, ... Nanoscale 16 (4), 1758-1769, 2024 | 6 | 2024 |
Importance of Four-Phonon Interactions in Lattice Thermal Conductivity and Thermoelectrics: A Case Study H Minhas, S Das, B Pathak ACS Applied Energy Materials 6 (13), 7305-7316, 2023 | 4 | 2023 |
Machine Learning-Driven Inverse Design and Role of Dopant for Tuning Thermoelectric Efficiency H Minhas, MK Jena, RK Sharma, B Pathak ACS Applied Electronic Materials 6 (8), 5815-5826, 2024 | 3 | 2024 |
Investigating the Metastability-Triggered Reactivity of Pt7,8 Clusters on Graphene: Unraveling Statistical Ensemble Representation for ORR in Gas and Implicit … RK Sharma, H Minhas, B Pathak The Journal of Physical Chemistry C 128 (18), 7504-7517, 2024 | 3 | 2024 |
Advancing thermal management with machine-learning potentials on boron nitride (BN) and other group 13 nitrides H Minhas, A Majumdar, B Pathak ACS Applied Energy Materials 6 (19), 9851-9863, 2023 | 3 | 2023 |
High-throughput screening of bifunctional catalysts for oxygen evolution/reduction reaction at the subnanometer regime RK Sharma, H Minhas, B Pathak Nanoscale 16 (46), 21340-21350, 2024 | 1 | 2024 |
Insights into Thermal Conductivity of Pnictogen Chalcogenides: Machine Learning Stereochemically Active Lone Pairs and Hybridization H Minhas, MK Jena, RK Sharma, B Pathak Chemistry of Materials 37 (1), 198-209, 2024 | | 2024 |
Machine-Learning-Assisted Screening of Nanocluster Electrocatalysts: Mapping and Reshaping the Activity Volcano for the Oxygen Reduction Reaction RK Sharma, MK Jena, H Minhas, B Pathak ACS Applied Materials & Interfaces 16 (46), 63589-63601, 2024 | | 2024 |
Comparison of lattice thermal conductivity using ab-initio DFT, machine learning interatomic potentials, and temperature dependent effective potential: a case study of … H Minhas, A Majumdar, B Pathak Journal of Physics: Condensed Matter 36 (39), 395701, 2024 | | 2024 |
Unraveling the Synergistic Role of Sm3+ Doped NiFe‐LDH as High‐Performance Electrocatalysts for Improved Anion Exchange Membrane and Water Splitting … S Nagappan, H Gurusamy, H Minhas, A Karmakar, S Ravichandran, ... Small Methods, 2401655, 2024 | | 2024 |
Rattling induced bonding hierarchy in Li–Cu–Ti chalcotitanates for enhanced thermoelectric efficiency: a machine learning potential approach H Minhas, S Das, RK Sharma, B Pathak Journal of Materials Chemistry A 12 (38), 25988-25999, 2024 | | 2024 |