Results 81 to 90 of about 83,346 (245)
European Physical Journal C: Particles and FieldsWe explore the mathematical relationship between the holographic Wilsonian renormalization group (HWRG) and stochastic quantization(SQ) motivated by the similarity of the monotonicity in RG flow with Langevin dynamics of non-equilibrium thermodynamics ...
Ji-seong Chae, Jae-Hyuk Oh
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Predicting protein dynamics from structural ensembles
, 2015 The biological properties of proteins are uniquely determined by their structure and dynamics. A protein in solution populates a structural ensemble of metastable configurations around the global fold.
Copperman, J., Guenza, M. G.
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Controlling complex Langevin dynamics at finite density [PDF]
, 2013 At nonzero chemical potential the numerical sign problem in lattice field theory limits the use of standard algorithms based on importance sampling. Complex Langevin dynamics provides a possible solution, but it has to be applied with care.
Aarts, Gert +4 more
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Particle metropolis hastings using Langevin dynamics [PDF]
2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013 Particle Markov Chain Monte Carlo (PMCMC) samplers allow for routine inference of parameters and states in challenging nonlinear problems. A common choice for the parameter proposal is a simple random walk sampler, which can scale poorly with the number of parameters. In this paper, we propose to use log-likelihood gradients, i.e.
Dahlin, Johan +2 more
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Linearizing and Forecasting: A Reservoir Computing Route to Digital Twins of the Brain
Advanced Science, EarlyView.A new approach uses simple neural networks to create digital twins of brain activity, capturing how different patterns unfold over time. The method generates and recovers key dynamics even from noisy data. When applied to fMRI, it predicts brain signals and reveals distinctive activity patterns across regions and individuals, opening possibilities for ...
Gabriele Di Antonio +3 more
wiley +1 more source
Large deviations conditioned on large deviations I: Markov chain and Langevin equation
, 2018 We present a systematic analysis of stochastic processes conditioned on an empirical measure $Q_T$ defined in a time interval $[0,T]$ for large $T$. We build our analysis starting from a discrete time Markov chain.
Derrida, Bernard, Sadhu, Tridib
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Mathematical understanding of detailed balance condition violation and its application to Langevin dynamics [PDF]
, 2015 We develop an efficient sampling method by simulating Langevin dynamics with an artificial force rather than a natural force by using the gradient of the potential energy.
Ichiki, A., Ohzeki, M.
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Adaptive Stepsize Algorithms for Langevin Dynamics [PDF]
SIAM Journal on Scientific ComputingWe discuss the design of an invariant measure-preserving transformed dynamics for the numerical treatment of Langevin dynamics based on rescaling of time, with the goal of sampling from an invariant measure. Given an appropriate monitor function which characterizes the numerical difficulty of the problem as a function of the state of the system, this ...
A. Leroy +3 more
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Diffusion–Model–Driven Discovery of Ferroelectrics for Photocurrent Applications
Advanced Science, EarlyView.We developed a diffusion model–based generative AI and high‐throughput screening framework that accelerates the discovery of photovoltaic ferroelectrics. By coupling AI driven crystal generation with machine learning and DFT screening, we identified Ca3P2 and LiCdP as new ferroelectric materials exhibiting strong polarization, feasible switching ...
Byung Chul Yeo +3 more
wiley +1 more source
Open effective theory of scalar field in rotating plasma
Journal of High Energy Physics, 2021 We study the effective dynamics of an open scalar field interacting with a strongly-coupled two-dimensional rotating CFT plasma. The effective theory is determined by the real-time correlation functions of the thermal plasma.
Bidisha Chakrabarty, P. M. Aswin
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