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researcher

D. M. Zuckerman

3 papers hereh-index 389 citations13 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cond-mat.stat-mech1
  • physics.chem-ph1
  • physics.comp-ph1

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedRiteWeight: Randomized Iterative Trajectory Reweighting for Steady-State Distributions Without Discretization Error

3 citations · 3 across the 3 of their papers we have counts for

collaborators

3 papers

cond-mat.stat-mech2026

Markov state models revisited: Principles and algorithms for unbiased observables

David Aristoff, Robert J. Webber, Daniel M. Zuckerman

Markov state models (MSMs) have become ubiquitous tools for analyzing molecular dynamics (MD) simulations because of their simple, powerful premise: although complete MD sampling m…

physics.chem-ph2025

Reducing Weighted Ensemble Variance With Optimal Trajectory Management

Won Hee Ryu, John D. Russo, Mats S. Johnson +7

Weighted ensemble (WE) is an enhanced path-sampling method that is conceptually simple, widely applicable, and statistically exact. In a WE simulation, an ensemble of trajectories…

physics.comp-ph2024★ 3 cited

RiteWeight: Randomized Iterative Trajectory Reweighting for Steady-State Distributions Without Discretization Error

Sagar Kania, Robert J. Webber, Gideon Simpson +2

A significant challenge in molecular dynamics (MD) simulations is ensuring that sampled configurations converge to the equilibrium or nonequilibrium stationary distribution of inte…

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