activity
20182021
most citedTraining neural nets to learn reactive potential energy surfaces using interactive quantum chemistry in virtual reality

108 citations · 251 across the 5 of their papers we have counts for

collaborators

11 papers

physics.chem-ph2021

ChemDyME: Kinetically Steered, Automated Mechanism Generation Through Combined Molecular Dynamics and Master Equation Calculations

Robin J. Shannon, Emilio Martinez Nunez, Dmitrii V. Shalashilin +1

In many scientific fields, there is an interest in understanding the way in which complex chemical networks evolve. The chemical networks which researchers focus upon, have become…

cs.HC20209 cited

Subtle Sensing: Detecting Differences in the Flexibility of Virtually Simulated Molecular Objects

Rhoslyn Roebuck Williams, Xan Varcoe, Becca R. Glowacki +3

During VR demos we have performed over last few years, many participants (in the absence of any haptic feedback) have commented on their perceived ability to 'feel' differences bet…

physics.chem-ph201928 cited

Enhancing automated reaction discovery with boxed molecular dynamics in energy space

Rafael A. Jara-Toro, Gustavo A. Pino, David R. Glowacki +2

The rare event acceleration method BXDE is interfaced in the present work with the automated reaction discovery method AutoMeKin. To test the efficiency of the combined AutoMeKin-B…

physics.chem-ph2019

IMPRESSION -- Prediction of NMR Parameters for 3-dimensional chemical structures using Machine Learning with near quantum chemical accuracy

Will Gerrard, Lars Andersen Bratholm, Martin Packer +3

The IMPRESSION (Intelligent Machine PREdiction of Shift and Scalar Information Of Nuclei) machine learning system provides an efficient and accurate route to the prediction of NMR…

physics.bio-ph2019

Interactive molecular dynamics in virtual reality for accurate flexible protein-ligand docking

Helen M. Deeks, Rebecca K. Walters, Stephanie R. Hare +3

Simulating drug binding and unbinding is a challenge, as the rugged energy landscapes that separate bound and unbound states require extensive sampling that consumes significant co…

physics.chem-ph2019104 cited

Interactive molecular dynamics in virtual reality from quantum chemistry to drug binding: An open-source multi-person framework

Michael O'Connor, Simon J. Bennie, Helen M. Deeks +7

As molecular scientists have made progress in their ability to engineer nano-scale molecular structure, we are facing new challenges in our ability to engineer molecular dynamics (…