2 papers
math.NA2026
Hybrid Digital-Analog Approximate Inverse Preconditioning for Krylov Methods
Shikhar Shah, Rui Peng Li, Tayfun Gokmen +3
Analog in-memory computing enables highly parallel matrix-vector multiplications with reduced data movement, but the resulting operations are noisy, quantized, and affected by devi…
physics.comp-ph2025
Random Phase Approximation Correlation Energy using Real-Space Density Functional Perturbation Theory
Boqin Zhang, Shikhar Shah, John E. Pask +2
We present a real-space method for computing the random phase approximation (RPA) correlation energy within Kohn-Sham density functional theory, leveraging the low-rank nature of t…