Toward ab Initio Ground States of Gold Clusters via Neural Network Modeling
Prescreening candidate structures with reliable classical potentials is an effective way to
accelerate ab initio ground state searches. Given the growing popularity of machine learning …
accelerate ab initio ground state searches. Given the growing popularity of machine learning …
Square-wave pulse electrodeposition of gold nanoparticles for ethanol electrooxidation
Gold nanoparticles (AuNPs) were synthesized as an electrocatalyst using a square-wave
pulse deposition technique. By adjusting the applied upper potentials, we were able to …
pulse deposition technique. By adjusting the applied upper potentials, we were able to …
Accelerated Prediction of Tin Alloys and Gold Nanoparticles With Neural Networks
A Thorn - 2023 - search.proquest.com
Prediction of synthesizable materials with desirable electronic and structural properties has
been significantly bolstered with the advent of density functional theory (DFT). As …
been significantly bolstered with the advent of density functional theory (DFT). As …
Computer simulation of formation and decomposition of Au13 nanoparticles
P Stishenko, A Svalova - AIP Conference Proceedings, 2017 - pubs.aip.org
To study the Ostwald ripening process of Au13 nanoparticles a two-scale model is
constructed: analytical approximation of average nanoparticle energy as function of …
constructed: analytical approximation of average nanoparticle energy as function of …