Search Results - "Zhang, Daniel T"

  • Showing 1 - 10 results of 10
Refine Results
  1. 1

    Exchanging Replicas with Unequal Cost, Infinitely and Permanently by Roet, Sander, Zhang, Daniel T., van Erp, Titus S.

    “…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…”
    Get full text
    Journal Article
  2. 2

    Highly parallelizable path sampling with minimal rejections using asynchronous replica exchange and infinite swaps by Zhang, Daniel T, Baldauf, Lukas, Roet, Sander, Lervik, Anders, van Erp, Titus S

    “…Capturing rare yet pivotal events poses a significant challenge for molecular simulations. Path sampling provides a unique approach to tackle this issue…”
    Get full text
    Journal Article
  3. 3

    Path sampling with memory reduction and replica exchange to reach long permeation timescales by Vervust, Wouter, Zhang, Daniel T., van Erp, Titus S., Ghysels, An

    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…”
    Get full text
    Journal Article
  4. 4

    PyRETIS 3: Conquering rare and slow events without boundaries by Vervust, Wouter, Zhang, Daniel T, Ghysels, An, Roet, Sander, van Erp, Titus S, Riccardi, Enrico

    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,…”
    Get full text
    Journal Article
  5. 5

    Enhanced path sampling using subtrajectory Monte Carlo moves by Zhang, Daniel T, Riccardi, Enrico, van Erp, Titus S

    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…”
    Get more information
    Journal Article
  6. 6

    Enhanced path sampling using subtrajectory Monte Carlo moves by Zhang, Daniel T, Riccardi, Enrico, van Erp, Titus S

    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…”
    Get full text
    Journal Article
  7. 7

    Exchanging replicas with unequal cost, infinitely and permanently by Roet, Sander, Zhang, Daniel T, van Erp, Titus S

    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…”
    Get full text
    Journal Article
  8. 8

    Online Boosting for Multilabel Ranking with Top-k Feedback by Raman, Vinod, Zhang, Daniel T, Jung, Young Hun, Tewari, Ambuj

    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…”
    Get full text
    Journal Article
  9. 9

    Online Multiclass Boosting with Bandit Feedback by Zhang, Daniel T, Jung, Young Hun, Tewari, Ambuj

    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…”
    Get full text
    Journal Article
  10. 10

    A Data Science Approach to Understanding Residential Water Contamination in Flint by Chojnacki, Alex, Dai, Chengyu, Farahi, Arya, Shi, Guangsha, Webb, Jared, Zhang, Daniel T, Abernethy, Jacob, Schwartz, Eric

    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…”
    Get full text
    Journal Article