Results 1 to 10 of about 6,659,086 (346)

Interfering trajectories in experimental quantum-enhanced stochastic simulation. [PDF]

Nat Commun, 2019
Simulations of stochastic processes play an important role in the quantitative sciences, enabling the characterisation of complex systems. Recent work has established a quantum advantage in stochastic simulation, leading to quantum devices that execute a
Ghafari F, Tischler N, Di Franco C, Thompson J, Gu M, Pryde GJ.   +5 more
europepmc   +3 more sources

Stochastic Simulation of Cellular Metabolism [PDF]

IEEE Access, 2020
Increased technological methods have enabled the investigation of biology at nanoscale levels. Such systems require the use of computational methods to comprehend the complex interactions that occur.
Emalie J. Clement, Thomas T. Schulze, Ghada A. Soliman, Beata Joanna Wysocki, Paul H. Davis, Tadeusz A. Wysocki   +5 more
doaj   +2 more sources

Approximate accelerated stochastic simulation of chemically reacting systems

Journal of Chemical Physics, 2001
The stochastic simulation algorithm (SSA) is an essentially exact procedure for numerically simulating the time evolution of a well-stirred chemically reacting system.
Gillespie Daniel T
exaly   +2 more sources

On the multi-agent stochastic simulation of occupants in buildings

Journal of Building Performance Simulation, 2018
This paper introduces a new general platform for the simulation of occupants' presence and behaviours. Called No-MASS (Nottingham Multi-Agent Stochastic Simulation), this generates a synthetic population of agents, predicts their presence and, in the ...
Jacob Chapman, Peer-Olaf Siebers, Darren Robinson   +2 more
exaly   +2 more sources

HRSSA – Efficient hybrid stochastic simulation for spatially homogeneous biochemical reaction networks

Journal of Computational Physics, 2016
This paper introduces HRSSA (Hybrid Rejection-based Stochastic Simulation Algorithm), a new efficient hybrid stochastic simulation algorithm for spatially homogeneous biochemical reaction networks.
Luca Marchetti, Corrado Priami, Võ Hong Thanh   +2 more
exaly   +2 more sources

An Algorithmic Introduction to Numerical Simulation of Stochastic Differential Equations

SIAM Review, 2001
Desmond J Higham
exaly   +2 more sources

Stochastic simulation-optimization framework for the design and assessment of renewable energy systems under uncertainty

Renewable & Sustainable Energy Reviews, 2022
As the share of renewable energy resources rapidly increases in the electricity mix, the recognition, represen- tation, quantification, and eventually interpretation of their uncertainties become important.
G. Sakki, I. Tsoukalas, P. Kossieris, C. Makropoulos, A. Efstratiadis   +4 more
semanticscholar   +1 more source

Hardware Model for Stochastic Neuron Based on Magnetic Tunnel Junction in the Subcritical Current Switching Regime [PDF]

هوش محاسباتی در مهندسی برق, 2022
The stochastic neuron has great importance in neural networks and is one of the most important subjects in machine learning algorithms. Hardware implementation of neural networks has always been of interest to researchers and can significantly increase ...
Abdola Amirany, kian Jafari, Mohammad Hossein Moaiyeri   +2 more
doaj   +1 more source

Information‐Theoretic Scores for Bayesian Model Selection and Similarity Analysis: Concept and Application to a Groundwater Problem

Water Resources Research, 2023
Bayesian model selection (BMS) and Bayesian model justifiability analysis (BMJ) provide a statistically rigorous framework for comparing competing models through the use of Bayesian model evidence (BME).
Maria Fernanda Morales Oreamuno, Sergey Oladyshkin, Wolfgang Nowak   +2 more
doaj   +1 more source

Improving Thermochemical Energy Storage Dynamics Forecast with Physics-Inspired Neural Network Architecture

Energies, 2020
Thermochemical Energy Storage (TCES), specifically the calcium oxide (CaO)/calcium hydroxide (Ca(OH)2) system is a promising energy storage technology with relatively high energy density and low cost. However, the existing models available to predict the
Timothy Praditia, Thilo Walser, Sergey Oladyshkin, Wolfgang Nowak   +3 more
doaj   +1 more source