117 citations · 222 across the 5 of their papers we have counts for
4 papers · 1 filter
Data-driven kinetic energy density fitting for orbital-free DFT: linear vs Gaussian process regression
Sergei Manzhos, Pavlo Golub
We study the dependence of kinetic energy densities (KED) on density-dependent variables that have been suggested in previous works on kinetic energy functionals (KEF) for orbital-…
Machine learning optimization of the collocation point set for solving the Kohn-Sham equation
Jonas Ku, Aditya Kamath, Tucker Carrington +1
The rectangular collocation approach makes it possible to solve the Schrödinger equation with basis functions that do not have amplitude in all regions in which wavefunctions have…
A Scheme for Ultrasensitive Detection of Molecules by Using Vibrational Spectroscopy in Combination with Signal Processing
Tay Yong Boon, Ian Tay Rongde, Loy Liang Yi +3
We show that combining vibrational spectroscopy with signal processing can result in a scheme for ultrasensitive detection of molecules. We consider the vibrational spectrum as a s…
Kinetic energy densities based on the fourth order gradient expansion: performance in different classes of materials and improvement via machine learning
Pavlo Golub, Sergei Manzhos
We study the performance of fourth-order gradient expansions of the kinetic energy density (KED) in semi-local kinetic energy functionals depending on the density-dependent variabl…