Ab initio insights into the interaction mechanisms between H2, H2O, and O2 molecules with diamond surfaces

NV Tran, MC Righi - Carbon, 2022 - Elsevier
Diamond displays outstanding chemical, physical, and tribological properties, making it
attractive for numerous applications ranging from biomedicine to tribology. However, the …

Prediction of stable Li-Sn compounds: boosting ab initio searches with neural network potentials

S Kharabadze, A Thorn, EA Koulakova… - npj Computational …, 2022 - nature.com
Abstract The Li-Sn binary system has been the focus of extensive research because it
features Li-rich alloys with potential applications as battery anodes. Our present re …

Thermodynamic and dynamic stability of NaLiC4: Exploring superconductivity in a layered hexagonal compound through first-principles calculations

P Pluengphon, W Sukmas, P Tsuppayakorn-aek… - Journal of Physics and …, 2024 - Elsevier
The layered hexagonal compound NaLiC 4 has been thoroughly investigated to assess its
thermodynamic and dynamic stability in comparison to its parent compounds NaC 2 and LiC …

Interatomic potential for sodium and chlorine in both neutral and ionic states

H Sun, C Maxwell, E Torres, LK Béland - Physical Review B, 2024 - APS
Molten salts could play an important role in energy storage, in the form of liquid batteries,
and heat storage for solar and nuclear power. However, their widespread application is …

Machine Learning and Ab Initio Insights into the Design of Lithium-Based Materials

S Kharabadze - 2024 - search.proquest.com
Materials research, spanning physics, chemistry, and engineering, underpins technological
innovation by enabling precise control of materials at the atomistic level. Nevertheless, the …

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 …