

Selected Publications
- A Gangwar, SS Bulusu, A Banerjee, Neural network learned Pauli potential for the advancement of orbital-free density functional theory, The Journal of Chemical Physics 159, 124114 2023.
- 159, 124114 (2023)A Ojha, SS Bulusu, A Banerjee, Structure and dynamics of 38-atom Ag-Pt nanoalloys using ANN based-interatomic potential, Computational and Theoretical Chemistry, 1220, 113985, 2023.
- A Gangwar, SS Bulusu, A Banerjee,Feed-Forward Neural Networks for Fitting of Kinetic Energy and its Functional Derivative, Chemical Physics Letters, 801, 139718, 2022.
- SS Bulusu, S Vasudevan,FPGA Accelerator for Machine Learning Interatomic Potential-Based Molecular Dynamics of Gold Nanoparticles, IEEE Access 10, 40338, 2022.
- S Jindal, SS Bulusu, Structural evolution in gold nanoparticles using artificial neural network based interatomic potentials, The Journal of chemical physics 152, 154302, 2020.
- S Jindal, SS Bulusu, A transferable artificial neural network model for atomic forces in nanoparticles, The Journal of chemical physics 149, 194101, 2018.
- S Chiriki, S Jindal, P Singh, SS Bulusu, Correlation of structure with UV-visible spectra by varying SH composition in Au-SH nanoclusters, The Journal of chemical physics, 149,074307,2018.
- S Jindal, SS Bulusu, An algorithm to use higher order invariants for modelling potential energy surface of nanoclusters Chemical Physics Letters, 693, 152, 2018.
- S Chiriki, S Jindal, SS Bulusu, cT phase diagram and Landau free energies of (AgAu) 55 nanoalloy via neural-network molecular dynamic simulations, The Journal of chemical physics 147, 154303, 2017.
- S Jindal, S Chiriki, SS Bulusu, Spherical harmonics based descriptor for neural network potentials: Structure and dynamics of Au147 nanocluster The Journal of chemical physics 146, 204301, 2017.
- NS Khetrapal, SS Bulusu, XC Zeng, Structural Evolution of Gold Clusters Au n(n= 2125) Revisited The Journal of Physical Chemistry A 121, 2466-2474,2017.
- S Chiriki, S Jindal, SS Bulusu, Neural network potentials for dynamics and thermodynamics of gold nanoparticles The Journal of Chemical Physics 146, 084314, 2017.
- S. Chiriki, S. S. Bulusu, ”Modeling of DFT quality neural network potential for sodium clusters: Application to melting of sodium clusters (Na 20 to Na 40)” Chemical Physics Letters 652, 130 (2016).
- A complete list of publications can be found in following link.



