Structural Quantification of the Surface-Confined Metal-Organic Precursors Simulated with the Lattice Monte Carlo Method. [PDF]
Molecules, 2023 Lisiecki J, Szabelski P.
europepmc +1 more source
, 2019 summary:Stochastická metoda Monte Carlo (tedy kombinující pravděpodobnost a statistiku) nachází uplatnění v mnoha oblastech: jaderná a částicová fyzika [Frýbort, J.: Monte Carlo není jenom hazard, Rozhledy matematicko-fyzikální, 86 (2011), 3, 4–12 ...
Dvořáková, Ľubomíra
core
On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification
Advanced Electronic Materials, EarlyView.ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels +4 more
wiley +1 more source
Numerical Study of Gas Flow in Super Nanoporous Materials Using the Direct Simulation Monte-Carlo Method. [PDF]
Micromachines (Basel), 2023 Shariati V, Roohi E, Ebrahimi A.
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Advanced Energy Materials, EarlyView.In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu +6 more
wiley +1 more source
Applying Monte Carlo Method for Straight-Line Model Sensor Calibration. [PDF]
Sensors (Basel)Ramos PM, Janeiro FM.
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Gap-filling of ocean color over the tropical Indian Ocean using Monte-Carlo method. [PDF]
Sci Rep, 2022 Modi A, Roxy MK, Ghosh S.
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Comparative Insights and Overlooked Factors of Interphase Chemistry in Alkali Metal‐Ion Batteries
Advanced Energy Materials, EarlyView.This review presents a comparative analysis of Li‐, Na‐, and K‐ion batteries, focusing on the critical role of electrode–electrolyte interphases. It especially highlights overlooked aspects such as SEI/CEI misconceptions, binder effects, and self‐discharge relevance, emphasizing the limitations of current understanding and offering strategies for ...
Changhee Lee +3 more
wiley +1 more source
A Quasi-Monte Carlo Method Based on Neural Autoregressive Flow. [PDF]
Entropy (Basel)Wei Y, Xi W.
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Seemingly unrelated time series model for forecasting the peak and short-term electricity demand: Evidence from the Kalman filtered Monte Carlo method. [PDF]
Heliyon, 2023 Owusu FK +6 more
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