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The Journal of Physical Chemistry Letters|December 18, 2024
Overcoming Inaccuracies in Machine Learning Interatomic Potential Implementation for Ionic Vacancy SimulationsPandu Wisesa, Wissam A Saidi
The Journal of Physical Chemistry Letters|September 22, 2023
Machine-Learning Accelerated First-Principles Accurate Modeling of the Solid-Liquid Phase Transition in MgO under Mantle ConditionsPandu Wisesa, Christopher M Andolina, Wissam A Saidi
The Journal of Physical Chemistry Letters|January 9, 2023
Development and Validation of Versatile Deep Atomistic Potentials for Metal OxidesPandu Wisesa, Christopher M Andolina, Wissam A Saidi
Nano Letters|January 14, 2025
Cu-Ni Oxidation Mechanism Unveiled: A Machine Learning-Accelerated First-Principles and <i>in Situ</i> TEM StudyPandu Wisesa, Meng Li, Matthew T Curnan, et al.
The Journal of Physical Chemistry Letters|January 24, 2022
Optimizing the Catalytic Activity of Pd-Based Multinary Alloys toward Oxygen Reduction ReactionWissam A Saidi
The Journal of Chemical Physics|September 8, 2014
Influence of strain and metal thickness on metal-MoS₂ contactsWissam A Saidi
RSC Advances|May 9, 2022
Materials with the CrVO<sub>4</sub> structure type as candidate superprotonic conductorsPandu Wisesa, Chenyang Li, Chuhong Wang, et al.
Physical Chemistry Chemical Physics : PCCP|December 5, 2013
Spectroscopic signatures of topological and diatom-vacancy defects in single-walled carbon nanotubesWissam A Saidi, Patrick Norman
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