Prof. Satya S. Bulusu


1D-601, POD Building
Email: sbulusu[at]
Phone: +91 0731 660 3354

Group Website

Research Interests

  • Developing machine learning methods(Artificial neural networks) for chemical problems.
  • Modelling of atomic enviroments
  • Developing sampling algorithms
  • Using hardware technologies to parallelize our programs that will help to extend the above methods to experimentally relevant sizes.

Selected Publications

  • Shweta Jindal, Satya S Bulusu,”A transferable artificial neural network model for atomic forces in nanoparticles”, J. Chem. Phys. 149 (19), 194101 (2018)
  • Shweta Jindal, Satya S Bulusu,”An algorithm to use higher order invariants for modelling potential energy surface of nanoclusters”,Chem. Phys. Lett. 693, 152-158 (2018)
  • Siva Chiriki, Shweta Jindal, Priya Singh, Satya S Bulusu,”Spherical harmonics based descriptor for neural network potentials: Structure and dynamics of Au147 nanocluster”, J. Chem. Phys. 149 (7), 074307 (2018)