Search Results - "Zhang, Daniel T"
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Exchanging Replicas with Unequal Cost, Infinitely and Permanently
Published in The journal of physical chemistry. A, Molecules, spectroscopy, kinetics, environment, & general theory (01-12-2022)“…We developed a replica exchange method that is effectively parallelizable even if the computational cost of the Monte Carlo moves in the parallel replicas are…”
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Highly parallelizable path sampling with minimal rejections using asynchronous replica exchange and infinite swaps
Published in Proceedings of the National Academy of Sciences - PNAS (13-02-2024)“…Capturing rare yet pivotal events poses a significant challenge for molecular simulations. Path sampling provides a unique approach to tackle this issue…”
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Path sampling with memory reduction and replica exchange to reach long permeation timescales
Published in Biophysical journal (25-07-2023)“…Assessing kinetics in biological processes with molecular dynamics simulations remains a computational and conceptual challenge, given the large time and…”
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PyRETIS 3: Conquering rare and slow events without boundaries
Published in Journal of computational chemistry (05-06-2024)“…We present and discuss the advancements made in PyRETIS 3, the third instalment of our Python library for an efficient and user-friendly rare event simulation,…”
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Enhanced path sampling using subtrajectory Monte Carlo moves
Published in The Journal of chemical physics (14-01-2023)“…Path sampling allows the study of rare events, such as chemical reactions, nucleation, and protein folding, via a Monte Carlo (MC) exploration in path space…”
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Enhanced path sampling using subtrajectory Monte Carlo moves
Published 13-10-2022“…Path sampling allows the study of rare events like chemical reactions, nucleation and protein folding via a Monte Carlo (MC) exploration in path space. Instead…”
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Exchanging replicas with unequal cost, infinitely and permanently
Published 25-05-2022“…We developed a replica exchange method that is effectively parallelizable even if the computational cost of the Monte Carlo moves in the parallel replicas are…”
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8
Online Boosting for Multilabel Ranking with Top-k Feedback
Published 24-10-2019“…We present online boosting algorithms for multilabel ranking with top-k feedback, where the learner only receives information about the top k items from the…”
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Online Multiclass Boosting with Bandit Feedback
Published 11-10-2018“…We present online boosting algorithms for multiclass classification with bandit feedback, where the learner only receives feedback about the correctness of its…”
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A Data Science Approach to Understanding Residential Water Contamination in Flint
Published 05-07-2017“…When the residents of Flint learned that lead had contaminated their water system, the local government made water-testing kits available to them free of…”
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