10 citations · 14 across the 18 of their papers we have counts for
22 papers
Observing Phase Space Evolution During Unimolecular Decay
Abhirami Vijayakumar, Raidel Martin Barrios, Meenu Upadhyay +4
Direct time-resolved observation of large amplitude dynamics during ground state statistical unimolecular decay remains an experimental challenge. Here, an experimental Time-Resolv…
Site-Specific Vibrational Dynamics to Probe Local and Global Protein Motions
Sena Aydin, Markus Meuwly
Vibrational spectroscopic probes can provide site-specific information on protein structure and dynamics. In this work, the possibility to relate protein motion with the vibrationa…
Explicit, Machine-Learned Two-Body Potentials for Molecular Simulations
Kham Lek Chaton, Eric D. Boittier, Mike Devereux +1
A new pairwise hybrid machine-learning/molecular mechanics (ML/MM) potential is introduced that is conceived for application to large, heterogeneous condensed-phase systems. The Ph…
Towards Quantitative Reaction Dynamics of O3
Raidel Martin-Barrios, Abhirami Vijayakumar, Jingchun Wang +1
The reaction dynamics of O(3P) + O2(3Sigma_g-) collisions in the O3(1A') electronic ground state is characterized on a high-level MRCI+Q/aug-cc-pVQZ potential energy surface repres…
Efficient, Equivariant Predictions of Distributed Charge Models
Eric D. Boittier, Markus Meuwly
A machine learning (ML) based equivariant neural network for constructing distributed charge models (DCMs) of arbitrary resolution, DCM-net, is presented. DCMs efficiently and accu…
A State-Space-View of Atom-Diatom Reactions Relevant to Rarefied Gas Flow
Abhirami Vijayakumar, Raidel Martin-Barrios, Markus Meuwly
A microscopically resolved picture of energy flow in atom-diatom collisions is essential for understanding the non-equilibrium chemistry in rarefied and hypersonic gas flow. Here,…
Structure and Spectroscopy of Criegee Intermediates in Gas- and Aqueous Environments
Cangtao Yin, Meenu Upadhyay, Markus Meuwly
The dynamics and spectroscopy of the small (HCOO) and large (CHCHOO) Criegee intermediates (CIs) in the gas phase, inside/on water droplets, on amorphous solid water (ASW)…
Design, Assessment, and Application of Machine Learning Potential Energy Surfaces
Valerii Andreichev, Sena Aydin, Kai Töpfer +2
Potential Energy Surfaces (PESs) are an indispensable tool to investigate, characterise and understand chemical and biological systems in the gas and condensed phases. Advances in…
Cluster Models for Next-Generation, Machine-Learning-Based Energy Functions for Molecular Simulations
JingChun Wang, Meenu Upadhyay, Eric D. Boittier +7
Energy functions for pure and heterogenous systems are one of the backbones for molecular simulation of condensed phase systems. With the advent of machine learned potential energy…
Reaction Dynamics for the [NNO] System from State-Resolved and Coarse-Grained Models
Juan Carlos San Vicente Veliz, Sung Min Jo, Jingchun Wang +2
The dynamics for the NO() + N(S) N) + O(P) reaction was followed in the A' electronic state using state-to-state (STS) a…
High-Energy Reaction Dynamics of O
JingChun Wang, Juan Carlos San Vicente Veliz, Meenu Upadhyay +1
The high-temperature atom exchange and dissociation reaction dynamics of the O(P) + O system are investigated based on a new reproducing kernel-based representa…
Structure and Dynamics of Deep Eutectic Systems from Cluster-Optimized Energy Functions
Kai Töpfer, Jingchun Wang, Shimoni Patel +1
Generating energy functions for heterogeneous systems suitable for quantitative and predictive atomistic simulations is a challenging undertaking. The present work combines a clust…
Machine Learning-Based Enhancements of Empirical Energy Functions: Structure, Dynamics and Spectroscopy of Modified Benzenes
Kham Lek Chaton, Markus Meuwly
The effect of replacing individual contributions to an empirical energy function are assessed for halogenated benzenes (X-Bz, X = H, F, Cl, Br) and chlorinated phenols (Cl-PhOH). I…
Diffusion and Spectroscopy of H in Myoglobin
Jiri Käser, Kai Töpfer, Markus Meuwly
The diffusional dynamics and vibrational spectroscopy of molecular hydrogen (H) in myoglobin (Mb) is characterized. Hydrogen has been implicated in a number of physiologically…
Energy Relaxation of NO in Gaseous, Supercritical and Liquid Xenon and SF
Kai Töpfer, Shyamsunder Erramilli, Lawrence D. Ziegler +1
Rotational and vibrational energy relaxation (RER and VER) of NO embedded in xenon and SF environments ranging from the gas phase to the liquid, including the supercritical…
Force Fields for Deep Eutectic Mixtures: Application to Structure and 2D-Infrared Spectroscopy
Kai Töpfer, Eric Boittier, Michael Devereux +3
Parametrizing energy functions for ionic systems can be challenging. Here, the total energy function for an eutectic system consisting of water, SCN, K and acetamide is imp…
Kernel-based Minimal Distributed Charges: A Conformationally Dependent ESP-Model for Molecular Simulations
Eric Boittier, Kai Töpfer, Mike Devereux +1
A kernel-based method (kernelized minimal distributed charge model - kMDCM) to represent the molecular electrostatic potential (ESP) in terms of off-center point charges whose posi…
SCN as a Local Probe of Protein Structural Dynamics
Sena Aydin, Seyedeh Maryam Salehi, Kai Töpfer +1
The dynamics of lysozyme is probed by attaching -SCN to all alanine-residues. The 1-dimensional infrared spectra exhibit frequency shifts in the position of the maximum absorption…
High-Energy Reaction Dynamics of N
JingChun Wang, Juan Carlos San Vicente Veliz, Markus Meuwly
The atom-exchange and atomization dissociation dynamics for the N(S) + N reaction is studied using a reproducing kernel Hilbert space (RKHS)-based, global p…
CO and NO Formation on Amorphous Solid Water
Meenu Upadhyay, Markus Meuwly
The dynamics for molecule formation, relaxation, diffusion, and desorption on amorphous solid water is studied in a quantitative fashion. We aim at characterizing, at a quantitativ…
OH-Formation Following Vibrationally Induced Reaction Dynamics of HCOO
Kaisheng Song, Meenu Upadhyay, Markus Meuwly
The reaction dynamics of HCOO to form linear HCOOH and dioxirane as first steps for OH-elimination is quantitatively investigated. Using a machine learned potential energy surf…
Systematic Improvement of Empirical Energy Functions in the Era of Machine Learning
Mike Devereux, Eric D. Boittier, Markus Meuwly
The impact of targeted replacement of individual terms in empirical force fields is quantitatively assessed for pure water, dichloromethane (DCM), and solvated K and Cl ion…