Results 211 to 220 of about 173,069 (310)

Stochastic Gauss-Newton method for estimating absorption and scattering in optical tomography with the Monte Carlo method for light transport. [PDF]

Biomed Opt Express
Kangasniemi J, Mozumder M, Pulkkinen A, Tarvainen T.   +3 more
europepmc   +1 more source

Multi-Level Hybrid Monte Carlo / Deterministic Methods for Particle Transport Problems [PDF]

Vincent N. Novellino, Dmitriy Y. Anistratov   +1 more
openalex   +1 more source

Interpretable Machine Learning for Solvent‐Dependent Carrier Mobility in Solution‐Processed Organic Thin Films

Advanced Intelligent Discovery, EarlyView.
This work establishes a correlation between solvent properties and the charge transport performance of solution‐processed organic thin films through interpretable machine learning. Strong dispersion interactions (δD), moderate hydrogen bonding (δH), closely matching and compatible with the solute (quadruple thiophene), and a small molar volume (MolVol)
Tianhao Tan, Lian Duan, Dong Wang
wiley   +1 more source

Validation of a Simplified Method for Estimating the Harmonic Response of Rogowski Coils with the Monte Carlo Method. [PDF]

Sensors (Basel)
Betti C, Mingotti A, Tinarelli R, Peretto L.   +3 more
europepmc   +1 more source

Monte Carlo and Quasi-Monte Carlo Methods [PDF]

, 2016
openaire   +1 more source

Modeling the interaction of an arbitrary light field with a diffraction\n grating by the Monte Carlo method [PDF]

, 2013
Vladimir V. Savukov, I. V. Golubenko
openalex   +1 more source

Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation

Advanced Intelligent Discovery, EarlyView.
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley   +1 more source

The Influence of B₄C Film Density on Damage Threshold Based on Monte Carlo Method for X-ray Mirror. [PDF]

Materials (Basel)
Sui T, Zhuo H, Tang A, Ju X.
europepmc   +1 more source

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

Advanced Intelligent Discovery, EarlyView.
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley   +1 more source

Calculating Thermodynamic Factors for Diffusion Using the Continuous Fractional Component Monte Carlo Method. [PDF]

J Chem Theory Comput
Hulikal Chakrapani T, Hajibeygi H, Moultos OA, Vlugt TJH.   +3 more
europepmc   +1 more source