Atomistic Origin of Phase Stability in Oxygen-Functionalized MXene: A Comparative Study
The Journal of Physical Chemistry C
Published on August 2017
Authors: Avanish Mishra, Pooja Srivastava, Abel Carreras, Isao Tanaka, Hiroshi Mizuseki, Kwang-Ryeol Lee, and Abhishek Kumar Singh
Volume: 121
Pages: 18947-18953
Recent advances in MXenes: From fundamentals to applications
Current Opinion in Solid State and Materials Science
Published on June 2019
Authors: Mohammad Khazaei, Avanish Mishra, Natarajan S. Venkataramanan, Abhishek Kumar Singh, Seiji Yunoki
Volume: 23
Pages: 164-178
Feature Blending: An Approach toward Generalized Machine Learning Models for Property Prediction
ACS Physical Chemistry Au
Published on January 2022
Authors: Swanti Satsangi, Avanish Mishra, and Abhishek Kumar Singh
Volume: 2
Pages: 16-22
Accelerated Discovery of the Valley-Polarized Quantum Anomalous Hall Effect in MXenes
Chemistry of Materials
Published on August 2021
Authors: Ranjan Kumar Barik and Abhishek Kumar Singh
Volume: 33
Pages: 6311-6317
Chemical hardness-driven interpretable machine learning approach for rapid search of photocatalysts
npj Computational Materials
Published on December 2021
Authors: Ritesh Kumar and Abhishek Kumar Singh
Volume: 7
Pages: 1-13
Development of Vickers hardness prediction models via microstructural analysis and machine learning
Journal of Materials Science
Published on November 2020
Authors: Sucheta Swetlana, Nikhil Khatavkar and Abhishek Kumar Singh
Volume: 55
Pages: 15845-15856
Accelerated prediction of Vickers hardness of Co- and Ni-based superalloys from microstructure and composition using advanced image processing techniques and machine learning
Acta Materialia
Published on September 2020
Authors: Nikhil Khatavkar, Sucheta Swetlana and Abhishek Kumar Singh
Volume: 196
Pages: 295-303
Unraveling the role of bonding chemistry in connecting electronic and thermal transport by machine learning
Journal of Materials Chemistry A
Published on May 2020
Authors: Rinkle Juneja and Abhishek Kumar Singh
Volume: 8
Pages: 8716-8721
Coupling the High-Throughput Property Map to Machine Learning for Predicting Lattice Thermal Conductivity
Chemistry of Materials
Published on July 2019
Authors: Rinkle Juneja, George Yumnam, Swanti Satsangi, and Abhishek Kumar Singh
Volume: 31
Pages: 5145-5151
Ferroelectricity, Antiferroelectricity, and Ultrathin 2D Electron/Hole Gas in Multifunctional Monolayer MXene
