Professor Phanish Suryanarayana

All Stories

1. 
   On-the-fly machine learned force fields for the study of warm dense matter: Application to diffusion and viscosity of CH

   Article • Physics of Plasmas, April 2024, American Institute of Physics

   Professor Phanish Suryanarayana

2. 
   Kohn–Sham accuracy from orbital-free density functional theory via Δ-machine learning

   Article • The Journal of Chemical Physics, December 2023, American Institute of Physics

   Professor Phanish Suryanarayana

3. 
   Real-space density kernel method for Kohn–Sham density functional theory calculations at high temperature

   Article • The Journal of Chemical Physics, March 2022, American Institute of Physics

   Professor Phanish Suryanarayana

4. 
   Real-space formulation of the stress tensor for O(N) density functional theory: Application to high temperature calculations

   Article • The Journal of Chemical Physics, July 2020, American Institute of Physics

   Professor Phanish Suryanarayana

5. 
   On the calculation of the stress tensor in real-space Kohn-Sham density functional theory

   Article • The Journal of Chemical Physics, November 2018, American Institute of Physics

   Professor Phanish Suryanarayana

6. 
   Ab initio strain engineering of graphene: opening bandgaps up to 1 eV

   Article • RSC Advances, January 2015, Royal Society of Chemistry

   Professor Phanish Suryanarayana