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Transition path sampling (TPS) is a powerful technique for investigating rare transitions, especially when the mechanism is unknown and one does not have access to the reaction coordinate. Straightforward application of TPS does not…

化学物理 · 物理学 2019-07-11 Z. Faidon Brotzakis , Peter G. Bolhuis

Path sampling approaches have become invaluable tools to explore the mechanisms and dynamics of so-called rare events that are characterized by transitions between metastable states separated by sizeable free energy barriers. Their…

统计力学 · 物理学 2022-06-08 Steven W. Hall , Grisell Díaz Leines , Sapna Sarupria , Jutta Rogal

The transition interface sampling (TIS) technique allows to overcome large free energy barriers within reasonable simulation time, which is impossible for straightforward molecular dynamics. Still, the method does not impose an artificial…

We review two recently developed efficient methods for calculating rate constants of processes dominated by rare events in high-dimensional complex systems. The first is transition interface sampling (TIS), based on the measurement of…

统计力学 · 物理学 2009-11-10 Titus S. van Erp , Peter G. Bolhuis

Transition path sampling is a method for estimating the rates of rare events in molecular systems based on the gradual transformation of a path distribution containing a small fraction of reactive trajectories into a biased distribution in…

统计力学 · 物理学 2015-10-28 Pierre Terrier , Mihai-Cosmin Marinica , Manuel Athènes

We introduce a path sampling method for the computation of rate constants for systems with a highly diffusive character. Based on the recently developed algorithm of transition interface sampling (TIS) this procedure increases the…

统计力学 · 物理学 2009-11-10 Daniele Moroni , Peter G. Bolhuis , Titus S. van Erp

Assessing the time scale of biological processes using molecular dynamics (MD) simulations with sufficient statistical accuracy is a challenging task, as processes are often rare and/or slow events, which may extend largely beyond the time…

计算物理 · 物理学 2026-02-16 Wouter Vervust , Elias Wils , Sina Safaei , Daniel T. Zhang , An Ghysels

Reconfigurable intelligent surfaces (RISs) modify signal reflections to enhance wireless communication capabilities. Classical RIS phase optimization is highly non convex and challenging in dynamic environments due to high interference and…

系统与控制 · 电气工程与系统科学 2026-04-21 Noha Hassan , Xavier Fernando , Halim Yanikomeroglu

Temperature-accelerated sliced sampling (TASS) is a well-established enhanced sampling method that facilitates exhaustive exploration of high-dimensional collective variable (CV) space through directed sampling employing a combination of…

化学物理 · 物理学 2025-09-08 Sameer Saurav , Debjit Das , Ramsha Javed , Nisanth N. Nair

I give an overview of rare event simulation techniques to generate dynamical pathways across high free energy barriers. The methods on which I will concentrate are the reactive flux approach, transition path sampling, (replica-exchange)…

统计力学 · 物理学 2015-03-17 Titus S. van Erp

Reconfigurable Intelligent Surfaces (RISs), comprising large numbers of low-cost and almost passive metamaterials with tunable reflection properties, have been recently proposed as an enabling technology for programmable wireless…

信息论 · 计算机科学 2022-08-23 Aris L. Moustakas , George C. Alexandropoulos , Mérouane Debbah

Many chemical reactions can be formulated in terms of particle diffusion in a complex energy landscape. Transition path theory (TPT) is a theoretical framework for describing the direct (reaction) pathways from reactant to product states…

统计力学 · 物理学 2023-10-03 Paul C Bressloff

Mobile edge computing (MEC) has been regarded as a promising technique to support latencysensitivity and computation-intensive serves. However, the low offloading rate caused by the random channel fading characteristic becomes a major…

信息论 · 计算机科学 2024-03-22 Hao Xie , Dong Li , Bowen Gu

Temperature Accelerated Sliced Sampling (TASS) is an efficient method to compute high dimensional free energy landscapes. The original TASS method employs the Weighted Histogram Analysis Method (WHAM) which is an iterative post-processing…

计算物理 · 物理学 2021-10-18 Asit Pal , Subhendu Pal , Shivani Verma , Motoyuki Shiga , Nisanth N. Nair

We propose an efficient novel path sampling-based framework designed to accelerate the investigation of rare events in complex molecular systems. A key innovation is the shift from sampling restricted path ensemble distributions, as in…

化学物理 · 物理学 2025-03-28 Gianmarco Lazzeri , Peter G. Bolhuis , Roberto Covino

Replica exchange molecular dynamics (REMD) becomes more efficient as the frequency of swap between the temperatures is increased. Recently in [Plattner et al, J. Chem. Phys. 135, 134111 (2011)] a method was proposed to implement infinite…

统计力学 · 物理学 2015-06-12 Jianfeng Lu , Eric Vanden-Eijnden

Atomistic modelling of phase transitions, chemical reactions, or other rare events that involve overcoming high free energy barriers usually entails prohibitively long simulation times. Introducing a bias potential as a function of an…

计算物理 · 物理学 2019-11-06 Federico Giberti , Bingqing Cheng , Gareth Aneurin Tribello , Michele Ceriotti

Molecular transitions -- such as protein folding, allostery, and membrane transport -- are central to biology yet remain notoriously difficult to simulate. Their intrinsic rarity pushes them beyond reach of standard molecular dynamics,…

We introduce a novel enhanced sampling approach named OPES flooding for calculating the kinetics of rare events from atomistic molecular dynamics simulation. This method is derived from the On-the-fly-Probability-Enhanced-Sampling (OPES)…

化学物理 · 物理学 2022-10-31 Dhiman Ray , Narjes Ansari , Valerio Rizzi , Michele Invernizzi , Michele Parrinello

Reconfigurable intelligent surfaces (RISs) comprised of tunable unit cells have recently drawn significant attention due to their superior capability in manipulating electromagnetic waves. In particular, RIS-assisted wireless communications…

信号处理 · 电气工程与系统科学 2020-10-16 Wankai Tang , Ming Zheng Chen , Xiangyu Chen , Jun Yan Dai , Yu Han , Marco Di Renzo , Yong Zeng , Shi Jin , Qiang Cheng , Tie Jun Cui
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