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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 SaidiThe Journal of Chemical Physics|July 27, 2026
Assessing melting points from machine learning interatomic potentials using PBE and PBEsol exchange-correlation functionalsPandu Wisesa, Christopher M Andolina, Wissam A SaidiThe 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 SaidiThe Journal of Physical Chemistry Letters|December 18, 2024
Overcoming Inaccuracies in Machine Learning Interatomic Potential Implementation for Ionic Vacancy SimulationsPandu Wisesa, Wissam A SaidiThe Journal of Chemical Physics|April 24, 2020
Optimization and validation of a deep learning CuZr atomistic potential: Robust applications for crystalline and amorphous phases with near-DFT accuracyChristopher M Andolina, Philip Williamson, Wissam A SaidiNano Letters|January 14, 2025
Cu-Ni Oxidation Mechanism Unveiled: A Machine Learning-Accelerated First-Principles and in Situ TEM StudyPandu Wisesa, Meng Li, Matthew T Curnan, et al.Physical Chemistry Chemical Physics : PCCP|January 22, 2020
In situ environmental TEM observation of two-stage shrinking of Cu2O islands on Cu(100) during methanol reductionHao Chi, Matthew T Curnan, Meng Li, 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 SaidiThe Journal of Chemical Physics|September 8, 2014
Influence of strain and metal thickness on metal-MoS₂ contactsWissam A SaidiThe Journal of Physical Chemistry. A|November 28, 2013
Effects of topological defects and diatom vacancies on characteristic vibration modes and Raman intensities of zigzag single-walled carbon nanotubesWissam A SaidiPageof 11