Results 181 to 190 of about 186,149 (308)

Self-Checked Metamorphic Testing of Monte Carlo Simulation

, 2011
Photon propagation in biological tissues can be modeled with Monte Carlo simulations numerically. However testing a such program is difficult due to the unknown character of the test oracles.
Wu, Tong, NC DOCKS at East Carolina University   +1 more
core  

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

Evaluation of extrapolation chamber response for surface and buildup dose assessment in radiotherapy photon beams using Monte Carlo simulations. [PDF]

Med Phys
Reis CQM, Muir BR, Nicolucci P, Rogers DWO.   +3 more
europepmc   +1 more source

A Monte-Carlo Path Planner for Dynamic and Partially Observable Environments

—In this paper, we present a Monte-Carlo policy rollout technique (called MOCART-CGA) for path planning in dynamic and partially observable real-time environments such as Real-time Strategy games.
Chrpa, Lukáš, Gregory, Peter, Kitchin, Diane E., Naveed, Munir, Crampton, Andrew   +4 more
core  

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Monte Carlo simulations of time-resolved blood flow index: times-of-flight beyond ∼1 ns are necessary for brain-dominated measurements. [PDF]

Neurophotonics
Hill DW, Behera A, Etard O, Zhang Y, Tran-Van-Minh A, Ruesch A, Ness L, Maine C, Salehi Lashkajani A, Parfentyeva V, Singh N, Antrobus A, Prudden R, Sanjurjo PV, Avtzi S, Dragojević T, Borycki D, Valley MT, Cooper RJ.   +18 more
europepmc   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Monte Carlo simulations of geometric deformation of Harrison-Anderson-Mick applicators used in intraoperative radiation therapy. [PDF]

J Appl Clin Med Phys
Insley B, Bocian B, Beddar S, Reiazi R, Jensen PJ, Martin-Paulpeter RM, Niedzielski JS, Flint D, Sawakuchi GO, Perles LA.   +9 more
europepmc   +1 more source

Sampling Strategy: An Overlooked Factor Affecting Artificial Intelligence Prediction Accuracy of Peptides’ Physicochemical Properties

Advanced Intelligent Discovery, EarlyView.
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan, Ankeer Abuduhebaier, Haojin Zhou, Jiaqi Wang   +3 more
wiley   +1 more source

Comparing effect latencies in the visual world paradigm: Monte Carlo simulations to assess resampling-based procedures. [PDF]

Behav Res Methods
Minor S.
europepmc   +1 more source