Computational Chemist
megamsndm@gmail.comMohsen is a computational chemist and software developer with over 75 ISI publications and 2 books, demonstrating measurable contributions to theoretical and computational chemistry. He specializes in molecular simulations, quantum calculations, and high-performance computing, leveraging Python, C/C++, Julia, and advanced data-driven workflows. Skilled in data engineering, analytics, and machine learning, he integrates scientific modeling with modern AI and cloud-based tools to achieve precise and reproducible results. Mohsen's work is goal-oriented: designing advanced materials for energy applications, developing selective molecular sensors, and contributing to drug design, while continuously enhancing efficiency, scalability, and predictive capabilities. His expertise bridges chemistry and the data ecosystem, ensuring impactful, relevant, and actionable outcomes in both research and software development.
Authors: M. Doust Mohammadi, D. Velayati
Publisher: Andishe Salamat Press, Iran (2025)
ISBN: 978-622-8067-83-4
Translation of: K. Gavroglu, A. Simões, Neither Physics Nor Chemistry: A History of Quantum Chemistry, MIT Press (2011)
Authors: M. Doust Mohammadi, D. Velayati
Publisher: Andishe Salamat Press, Iran (2025)
ISBN: 978-622-8067-84-1
Translation of: P. Coffey, Cathedrals of Science: The Personalities and Rivalries That Made Modern Chemistry, Oxford University Press (2008)
Funding: Research and Innovation Foundation, RIF-SMALL SCALE INFRASTRUCTURES/1222
Multi-scale modeling of charge-transfer mechanisms and exciton dynamics in complex materials systems.
Funding: Research and Innovation Foundation, RIF/CODEVELOP/0824
Computational design and characterization of bio-based materials for sustainable applications.
The Cyprus Institute, Nicosia
University of Tehran
Kharazmi University, Tehran
Conducting multi-scale modeling (DFT, TDDFT, MD, kMC) to investigate charge-transfer mechanisms between interlayers in complex materials systems. Performing calculations of charge carrier diffusion coefficients and modeling triplet–triplet annihilation (TTA) exciton dynamics to elucidate energy transfer processes.
Developed software for global optimization, data extraction, and workflow automation to enable efficient coupling of computational tools. Investigated metal atomic clusters for the design of highly selective gas sensors and studied nucleation mechanisms to advance understanding of aerosol particle formation.
Conducted computational research on metal cluster stability and reactivity, contributing to the development of novel sensing materials. Performed simulations and analysis to examine early-stage atomic cluster nucleation and its role in aerosol formation processes.
Research using DFT and molecular dynamics simulations (TeraChem) to design molecular logic gates based on dye compounds for cancer cell recognition. Funded by Horizon 2020 Marie Skłodowska-Curie Actions ITN.
Course covering the mathematical foundations of computational chemistry: Functional Analysis, Exchange-Correlation Functional, Linear Response Theory, Numerical Analysis in DFT, Optimization Theory, Perturbation Theory, Group Theory Applications, Differential Equations, and connections to Statistical Mechanics.