1 citations · 1 across the 4 of their papers we have counts for
5 papers
What Does a Semilocal Machine-Learning Correction Actually Learn? Size-Dependent Errors across Four Parent Functionals
Abhishek Bhattacharjee, Kishan Kumar Mohanta, Subrata Jana +1
Machine-learning (ML) corrections to density functional approximations (DFAs) offer a route to improving electronic-structure predictions while retaining the efficiency of semiloca…
Physically motivated iso-orbital indicator for meta-GGA exchange functionals
Jeet Sharma, Abhishek Bhattacharjee, Bikash Patra +1
The iso-orbital indicator is a key ingredient of meta-generalized gradient approximation (meta-GGA) functionals, but diverges in low-density…
Nonlocal Orbital-Free Kinetic Energy Functional from the Jellium-with-Gap Model for Finite Systems
Abhishek Bhattacharjee, Subrata Jana, Szymon Smiga +1
The quasi-linear scaling of orbital-free density functional theory (OF-DFT) with system size makes it a computationally efficient alternative to conventional Kohn--Sham density fun…
Kinetic energy functional constructed from exact gradient expansion of second order in uniform gas limit
Abhishek Bhattacharjee, Hemanadhan Myneni, Manoj K. Harbola +1
Orbital-Free Density Functional Theory (OFDFT) has re-emerged as a viable alternative to Kohn-Sham DFT, driven by recent advances in kinetic energy density functionals (KEDFs). Non…
Meta-GGA dielectric-dependent and range-separated screened hybrid functional for reliable prediction of material properties
Subrata Jana, Abhishek Bhattacharjee, Suman Mahakal +2
We propose a range-separated hybrid exchange-correlation functional to calculate solid-state material properties. The functional mixes Hartree-Fock exchange with the semilocal exch…