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Markus Meuwly — most-cited papers & profile · AI for Science
← authors
·
overview
Markus Meuwly
21
papers ·
173
citations ·
50
h-index
University of Basel
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Neural Network Potentials for Chemistry: Concepts, Applications and Prospects
2022 · 130 citations
PhysNet Meets CHARMM: A Framework for Routine Machine Learning / Molecular Mechanics Simulations
2023 · 24 citations
Combining Machine Learning and Spectroscopy to Model Reactive Atom + Diatom Collisions
2022 · 9 citations
Machine Learning Potential Energy Surfaces
2019 · 3 citations
Dynamics of Protonated Oxalate from Machine-Learned Simulations and Experiment: Infrared Signatures, Proton Transfer Dynamics and Tunneling Splittings
2025 · 2 citations
Computational Vibrational Spectroscopy
2022 · 2 citations
The Bigger the Better? Accurate Molecular Potential Energy Surfaces from Minimalist Neural Networks
2024 · 2 citations
Accurate Tunneling Splittings for Ever-Larger Molecules from Transfer-Learned, CCSD(T) Quality Energy Functions
2024 · 1 citations
Full Reaction Pathway Dynamics for Atmospheric Decomposition Reactions: The Photodissociation of H$_2$COO
2026
End-to-End Photodissociation Dynamics of Energized H$_2$COO
2025
Impact of the characteristics of quantum chemical databases on machine learning predictions of tautomerization energies
2021
Transfer-Learned Potential Energy Surfaces: Towards Microsecond-Scale Molecular Dynamics Simulations in the Gas Phase at CCSD(T) Quality
2023
Molecular Simulation for Atmospheric Reaction Exploration and Discovery: Non-Equilibrium Dynamics, Roaming and Glycolaldehyde Formation Following Photo-Induced Decomposition of syn-Acetaldehyde Oxide
2023
Improving Potential Energy Surfaces Using Experimental Feshbach Resonance Tomography
2023
Numerical Accuracy Matters: Applications of Machine Learned Potential Energy Surfaces
2023
Top co-authors
Silvan Käser
· 6
Luis Itza Vazquez-Salazar
· 5
Meenu Upadhyay
· 4
Kai Töpfer
· 3
Silvan K\"aser
· 3
Cangtao Yin
· 2
Oliver T. Unke
· 2
Christiane P. Koch
· 1
Debasish Koner
· 1
E.H. Bocanegra
· 1
Eric D. Boittier
· 1
Jeremy O. Richardson
· 1
Topics
Chemistry
Physics ML
Materials
Climate & Weather