93 citations · 746 across the 53 of their papers we have counts for
7 papers · 1 filter
Simple physics and integrators accurately reproduce Mercury instability statistics
Dorian S. Abbot, David M. Hernandez, Sam Hadden +3
The long-term stability of the Solar System is an issue of significant scientific and philosophical interest. The mechanism leading to instability is Mercury's eccentricity being p…
Understanding and eliminating spurious modes in variational Monte Carlo using collective variables
Huan Zhang, Robert J. Webber, Michael Lindsey +2
The use of neural network parametrizations to represent the ground state in variational Monte Carlo (VMC) calculations has generated intense interest in recent years. However, as w…
Predicting rare events using neural networks and short-trajectory data
John Strahan, Justin Finkel, Aaron R. Dinner +1
Estimating the likelihood, timing, and nature of events is a major goal of modeling stochastic dynamical systems. When the event is rare in comparison with the timescales of simula…
Computing transition path theory quantities with trajectory stratification
Bodhi P. Vani, Jonathan Weare, Aaron R. Dinner
Transition path theory computes statistics from ensembles of reactive trajectories. A common strategy for sampling reactive trajectories is to control the branching and pruning of…
Revealing the statistics of extreme events hidden in short weather forecast data
Justin Finkel, Edwin P. Gerber, Dorian S. Abbot +1
Extreme weather events have significant consequences, dominating the impact of climate on society. While high-resolution weather models can forecast many types of extreme events on…
Augmented Transition Path Theory for Sequences of Events
Chatipat Lorpaiboon, Jonathan Weare, Aaron R. Dinner
Transition path theory provides a statistical description of the dynamics of a reaction in terms of local spatial quantities. In its original formulation, it is limited to reaction…
Full Configuration Interaction Excited-State Energies in Large Active Spaces from Subspace Iteration with Repeated Random Sparsification
Samuel M. Greene, Robert J. Webber, James E. T. Smith +2
We present a stable and systematically improvable quantum Monte Carlo (QMC) approach to calculating excited-state energies, which we implement using our fast randomized iteration m…