Results 71 to 80 of about 1,407,468 (324)
Conversion of Monte Carlo Steps to Real Time for Grain Growth Simulation
Advances in Mathematical Physics, 2017 Monte Carlo (MC) technique is becoming a very effective simulation method for prediction and analysis of the grain growth kinetics at mesoscopic level.
N. Maazi
doaj +1 more source
Vibrato Monte Carlo Sensitivities [PDF]
, 2009 We show how the benefits of the pathwise sensitivity approach to computing Monte Carlo Greeks can be extended to discontinuous payoff functions through a combination of the pathwise approach and the Likelihood Ratio Method. With a variance reduction modification, this results in an estimator which for timestep h has a variance which is O(h −1/2) for ...
openaire +3 more sources
Ice Lithography: Recent Progress Opens a New Frontier of Opportunities
Advanced Functional Materials, EarlyView.This review focuses on recent advancements in ice lithography, including breakthroughs in compatible precursors and substrates, processes and applications, hardware, and digital methods. Moreover, it offers a roadmap to uncover innovation opportunities for ice lithography in fields such as biological, nanoengineering and microsystems, biophysics and ...
Bingdong Chang +9 more
wiley +1 more source
Monte Carlo Option Princing [PDF]
Lecturas de Economía, 2004 El método Monte Carlo se aplica a varios casos de valoración de opciones financieras. El método genera una buena aproximación al comparar su precisión con la de otros métodos numéricos.
Cecilia Maya
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Monte Carlo Solutions for Blind Phase Noise Estimation
EURASIP Journal on Wireless Communications and Networking, 2009 This paper investigates the use of Monte Carlo sampling methods for phase noise estimation on additive white Gaussian noise (AWGN) channels. The main contributions of the paper are (i) the development of a Monte Carlo framework for phase noise ...
Çırpan Hakan +4 more
doaj +2 more sources
Exhaustive review of acceleration strategies for Monte Carlo simulations in photon transit
Journal of Innovative Optical Health SciencesMonte Carlo simulation techniques have become the quintessence and a pivotal nexus of inquiry in the realm of simulating photon movement within biological fabrics.
Louzhe Xu, Zijie Zhu, Ting Li
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How Monte Carlo heuristics aid to identify the physical processes of drug release kinetics
MethodsX, 2018 We implement a Monte Carlo heuristic algorithm to model drug release from a solid dosage form. We show that with Monte Carlo simulations it is possible to identify and explain the causes of the unsatisfactory predictive power of current drug release ...
Paola Lecca
doaj +1 more source
Advanced Functional Materials, EarlyView.Free‐standing plasmonic gold‐based fractal antennas are fabricated by 3D nanoprinting, employing focused electron beam induced deposition and an optimized purification method to remove carbon while conserving structural fidelity. Simulation and experiment show broadband plasmonic activity, including customizable polarizability, thereby paving the way ...
Verena Reisecker +6 more
wiley +1 more source
Multicanonical Multigrid Monte Carlo
, 1993 To further improve the performance of Monte Carlo simulations of first-order phase transitions we propose to combine the multicanonical approach with multigrid techniques.
A. Billoire +37 more
core +1 more source
Integrative Approaches for DNA Sequence‐Controlled Functional Materials
Advanced Functional Materials, EarlyView.DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo +4 more
wiley +1 more source