David Aristoff
Associate Professor
Department of Mathematics
Colorado State University

Grants:

  • NSF DMS 2111277 (2021-2024)
  • NSF DMS 1818726 (2018-2021)
  • NSF DMS 1522398 (2015-2018)
  • NIH GM115805-06 (2020)

    • Publications:

  • D. Aristoff and D.M. Zuckerman. bRiteWeight: Randomized iterative reweighting for biased trajectory data. Chemrxiv:15001675 (2026)
  • L. Otten, D. Aristoff and D.M. Zuckerman. Regularized RiteWeight for Sparse Trajectory Data: A Smoothed Stationary Reweighting Framework. Chemrxiv:15001337 (2026)
  • S. Kania, R.J. Webber, G. Simpson, D. Aristoff, and D.M. Zuckerman. RiteWeight: Randomized iterative trajectory reweighting for steady-state distributions without discretization error. Proc. Natl. Acad. Sci. 123 (19), e2529246123 (2026)
  • W.H. Ryu, J.D. Russo, M. Johnson, J. Copperman, J. Thompson, D. LeBard, R.J. Webber, G. Simpson, David Aristoff, and D.M. Zuckerman. Reducing weighted ensemble variance with optimal trajectory management. J. Chem. Phys. 164, 094110 (2026)
  • L. Seelinger, A. Reinarz, M. Lykkegaard et. al. Democratizing uncertainty quantification. J. Comp. Phys. 521, 113542 (2025)
  • D. Aristoff, M. Johnson, G. Simpson, and R.J. Webber. The Fast Committor Machine: Interpretable Prediction With Kernels. J. Chem. Phys. 161, 084113 (2024)
  • D. Aristoff, J. Copperman, N. Mankovich, and A. Davies. Featurizing Koopman mode decomposition for robust forecasting. J. Chem. Phys. 161, 064103 (2024)
  • D. Aristoff and W. Bangerth. A benchmark for the Bayesian inversion of coefficients in partial differential equations. SIAM Review 65(4), 1074--1105 (2023)
  • D. Aristoff, J.Copperman, G. Simpson, R.J. Webber, and D.M. Zuckerman. Weighted ensemble: recent mathematical developments. J. Chem. Phys. 158, 014108 (2023)
  • D. Aristoff, M. Johnson, and D. Perez. Arbitrarily accurate, nonparametric coarse graining with Markov renewal processes and the Mori-Zwanzig formulation. AIP Advances 13, 095131 (2023)
  • D. Aristoff. An ergodic theorem for the weighted ensemble method. J. Appl. Probab. 59(1), 152--166 (2022)
  • J.D. Russo, J. Copperman, D.M. Zuckerman, D. Aristoff, and G. Simpson. Unbiased estimation of equilibrium, rates, and committors from Markov state model analysis. arXiv:2105.13402 (2021)
  • R.J. Webber, D. Aristoff, and G. Simpson. A splitting method to reduce MCMC variance. arXiv:2011.13899 (2020)
  • D. Aristoff. and D.M. Zuckerman. Optimizing weighted ensemble sampling of steady states. SIAM Multiscale Model. Simul. 18(2), 646--673 (2020)
  • J. Copperman, D. Aristoff, D.E. Makarov, G. Simpson, and D.M. Zuckerman. Transient probability currents provide upper and lower bounds on non-equilibrium steady-state currents in the Smoluchowski picture. J. Chem. Phys. 151(17):174108 (2019)
  • D. Aristoff. Generalizing parallel replica dynamics: trajectory fragments, asynchronous computing and PDMPs. SIAM/ASA Journal on Uncertainty Quantification. 7(2): 685--719 (2019)
  • D. Aristoff. Analysis and optimization of weighted ensemble sampling. ESAIM: Mathematical Modelling and Numerical Analysis. 52(2018): 1219--1238 (2018)
  • D. Aristoff and L. Zhu. On the phase transition curve in an exponential random graph model. Adv. Appl. Prob. 50(1): 272--301 (2018)
  • T. Wang, P. Plecháč, and D. Aristoff. Stationary averaging for multi-scale continuous time Markov chains using parallel replica dynamics. SIAM Multiscale Model. Simul. 16(1): 1--27 (2018)
  • D. Aristoff and L. Zhu. Lattice gas models with long range interactions. J. Math. Phys. 58(2),023301 (2017)
  • D. Aristoff, S. Chill and G. Simpson. Analysis of estimators for adaptive Kinetic Monte Carlo. Comm. App. Math. and Comp. Sci. 11(2),171--186 (2016)
  • D. Aristoff, J.M. Bello-Rivas and R. Elber. A mathematical framework for exact milestoning. SIAM Multiscale Model. Simul. 14(1), 301--322 (2016)
  • D. Aristoff, T. Lelièvre, C.G. Mayne, and I. Teo. Adaptive multilevel splitting in molecular dynamics simulations. ESAIM: Proceedings and Surveys 48, 215-225 (2015)
  • D. Aristoff. The parallel replica method for computing equilibrium averages of Markov chains. Monte Carlo Methods Appl. 21(4), 255--273 (2015)
  • D. Aristoff and L. Zhu. Asymptotic structure and singularities in constrained directed graphs. Stoch. Proc. Appl. 125(11), 4154--4177 (2015)
  • D. Aristoff, T. Lelièvre and G. Simpson. The parallel replica method for generating long trajectories of Markov chains. Appl. Math Res. Express. 2014(2), 332--352 (2014)
  • D. Aristoff. Percolation in hard disks. J. Appl. Prob. 51(1), 235--246 (2014)
  • D. Aristoff and T. Lelièvre. Mathematical analysis of temperature accelerated dynamics. SIAM Multiscale Model Simul. 12(1), 290--317 (2014)
  • D. Aristoff and C. Radin. Emergent structures in large networks. J. Appl. Prob. 50, 883--888 (2013)
  • D. Aristoff and C. Radin. Rigidity in solids. J. Stat. Phys. 144, 1247--1255 (2011)
  • D. Aristoff and C. Radin. Dilatancy transition in a granular model. J. Stat. Phys. 143, 2152251 (2011)
  • D. Aristoff and C. Radin. First order phase transition in a model of quasicrystals. J. Phys. A: Math. Theor. 44, 255001 (2011)
  • D. Aristoff and C. Radin. First order phase transition of a long polymer chain. J. Phys. A: Math. Theor. 44, 065004 (2011)
  • D. Aristoff and C. Radin. Random close packing in a granular model. J. Math. Phys. 51, 113302 (2010)
  • D. Aristoff and C. Radin. Layering in crumpled sheets. Europhys. Let. 91, 56003 (2010)
  • D. Aristoff and C. Radin. Random loose packing in granular matter. J. Stat. Phys., 135, 1--23 (2009)