Welcome to The Momeni Research Group!
The Momeni Group is a multifaceted research team interested in developing novel quantum dynamics methodologies, parallel software, and AI/ML-driven materials design and discovery to address the most challenging problems related to renewable energy generation and energy storage. We study the dynamics and spectroscopy of systems ranging from molecules to materials and different interfaces, including organic molecular crystals, inorganic, and hybrid organic-inorganic materials.
Mohammad R. Momeni
PI, Assistant Professor
School of Science & Engineering
University of Missouri-Kansas City (UMKC)
mmomenitaheri@umkc.edu
Mohammad obtained his Ph.D. in Theoretical Chemistry from the University of Alberta. Later, he held three Postdoctoral Appointments at the University of Minnesota, UC San Diego, and the New Jersey Institute of Technology, where he developed and applied new methods and algorithms for studying the structure and dynamics of metal-organic frameworks (MOFs), guest-molecule adsorption, heterogeneous catalysis, and vibrational spectroscopy. He is currently an Assistant Professor at UMKC, and his research interests are interdisciplinary, encompassing Theoretical Chemistry, Materials Science, and Computational Spectroscopy.
CV, Bio, Google Scholar
Nathan London
Postdoctoral Researcher
nlondon@umkc.edu
Nathan obtained his BSE in Materials Science & Engineering from Arizona State University in 2017 and MS and PhD degrees in Theoretical Chemistry from Cornell University (Ananth Group) in 2023. Dr. London joined the Momeni Research Group in 2023 and has been actively developing new quantum dynamics methods & MD software packages, including our very own general-purpose, highly parallelized software, DL_POLY Quantum versions 2.0 and 2.1.
Suchona Akter
PhD Student (Chemistry)
sad8b@umkc.edu
Suchona obtained her BS and MS degrees in Pharmaceutical Sciences from Jahangirnagar University in 2017 and 2018 and joined UMKC as a PhD student in 2023. She is currently developing new theoretical tools and ML models for the design and discovery of next-generation materials for energy storage applications.
Quadri Olakunle Adewuyi
PhD Student (Physics)
qoa6kb@umkc.edu
Quadri obtained his BS and MS degrees in Theoretical Physics from the University of Ibadan in 2018 and 2021, respectively, and joined UMKC as a PhD student in 2024. He currently develops new MLIPs for large-scale, biased ML-MD simulations of ion conductivity and electrocatalysis in aqueous condensed-phase and interface environments.
Md Omar FaruquePhD Candidate (Chemistry)
faruquem@umkc.edu
Omar obtained his BS and MS degrees in Pharmaceutical Sciences from Jahangirnagar University in 2017 and 2018 and joined the Momeni Research Group as a PhD student in 2023. He currently develops new path integral methods for quantum dynamics and spectroscopy of many-body condensed-phase and interface systems. Omar also develops new machine-learning interatomic potentials (MLIPs) that incorporate long-range charge-transfer effects for quantum dynamics and spectral simulations using our DL_POLY Quantum software.
Graduate Student
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