R.  Modee, Agarwal, S., Verma, A., Joshi, K., and U. Priyakumar, D., ?DART: deep learning enabled topological interaction model for energy prediction of metal clusters and its application in identifying unique low energy isomers?, Physical Chemistry Chemical Physics, vol. 23, no. 38, pp. 21995-22003, 2021.

R.  Modee, Verma, A., Joshi, K., and U. Priyakumar, D., ?MeGen-generation of gallium metal clusters using reinforcement learning?, Machine Learning-Science and Technology, vol. 4, no. 2, p. 025032, 2023.

N.  Wilson, Verma, A., Maharana, P. Ranjan, Sahoo, A. Bhusan, and Joshi, K., ?HyStor: an experimental database of hydrogen storage properties for various metal alloy classes?, International Journal of Hydrogen Energy, vol. 90, pp. 460-469, 2024.

A.  Verma, Wilson, N., and Joshi, K., ?Solid state hydrogen storage: Decoding the path through machine learning?, International Journal of Hydrogen Energy , vol. 50, pp. 1518-1528, 2024.

A.  Verma and Joshi, K., ?MH-PCTpro: a machine learning model for rapid prediction of pressure-composition-temperature (PCT) isotherms?, Iscience, vol. 28, no. 4, p. 112251, 2025.

P. Ranjan Maharana, Verma, A., and Joshi, K., ?Retrieval augmented generation for building datasets from scientific literature?, Journal of Physics-Materials, vol. 8, no. 3, p. 035006, 2025.

A.  Verma and Joshi, K., ?What drives property prediction for solid-state hydrogen storage? data or smart features??, International Journal of Hydrogen Energy, vol. 226, p. 154499, 2026.