Satadeep Bhattacharjee

21PUBLICATIONS
34CO-AUTHORS
Electrochemical energy storage and conversionHydrometallurgyChemical and thermal processes in energy and combustionElectrical energy generation (incl. renewables, excl. photovoltaics)Data visualisation and computational (incl. parametric and generative) design
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Publications (21)

|Aug 05, 2026
Toward accelerated electrocatalyst design: synergistic integration of DFT, machine learning, and microkinetic modeling.

|Mar 16, 2026
Dynamic surface reconstruction governs the hydrogen evolution activity of Mo2C electrocatalysts in alkaline media.

Palash Jyoti Gogoi, Chandraraj Alex, Swetarekha Ram

|Feb 19, 2026
O2-assisted methane oxidation on single-atom Pd@SSZ-13: a combined first-principles and microkinetic study.

Anuroopa Behatha, Shalini Tomar, Hojin Jeong

|Jan 02, 2026
Integrating Density Functional Theory with Deep Neural Networks for Accurate Voltage Prediction in Alkali-Metal-Ion Battery Materials.

Sk Mujaffar Hossain, Namitha Anna Koshi, Seung-Cheol Lee

|Jun 30, 2025
Robust Lightweight Graph Neural Network Framework for Accelerating Crystal Structure Prediction.

Rushikesh Pawar, Ashish Rout, Satadeep Bhattacharjee

|May 12, 2025
A Hybrid Machine Learning Framework for Predicting Hydrogen Storage Capacities in Metal Hydrides: Unsupervised Feature Learning with Deep Neural Networks.

Satadeep Bhattacharjee, Pritam Das, Swetarekha Ram

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Frequent Collaborators

15 joint publications

Seung-Cheol Lee

2 joint publications

Anup Kumar Mandia

2 joint publications

Phani Motamarri

2 joint publications

Neena S John