activity
20242026
collaborators

5 papers

cond-mat.mtrl-sci2026

Towards exascale fully relativistic pseudopotential density functional theory calculations enabled by mixed-precision computation and compressed-communication using residual based subspace iteration

Nikhil Kodali, Gourab Panigrahi, Nishant Gupta +6

Noncollinear (NC) magnetism and spin-orbit coupling (SOC) are indispensable for predictive ab initio materials simulations with pronounced relativistic effects and magnetic frustra…

physics.comp-ph2026

Accelerating finite-element-based projector augmented-wave density functional theory calculations with scalable GPU-centric computational methods

Kartick Ramakrishnan, Phani Motamarri

Accurate large-scale Kohn-Sham density functional theory (DFT) calculations are essential for modeling complex material systems, including interfaces, defects, nanoclusters, and tw…

physics.comp-ph2026

Residual-based Chebyshev filtered subspace iteration for sparse Hermitian eigenvalue problems tolerant to inexact matrix-vector products

Nikhil Kodali, Kartick Ramakrishnan, Phani Motamarri

Chebyshev Filtered Subspace Iteration (ChFSI) is widely used for computing a small subset of extremal eigenpairs from large matrices, particularly when the eigenpairs must be compu…

cond-mat.mtrl-sci2025

Real-space methods for ab initio modelling of surfaces and interfaces under external potential bias

Kartick Ramakrishnan, Gopalakrishnan Sai Gautam, Phani Motamarri

Accurate ab initio modelling of surfaces and interfaces, especially under an applied external potential bias, is important for describing and characterizing various phenomena that…

physics.comp-ph2024

Fast and scalable finite-element based approach for density functional theory calculations using projector-augmented wave method

Kartick Ramakrishnan, Sambit Das, Phani Motamarri

In this work, we present a computationally efficient methodology that utilizes a local real-space formulation of the projector augmented wave (PAW) method discretized with a finite…