Results 161 to 170 of about 529,167 (319)

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

Factorization Machine‐Based Active Learning for Functional Materials Design with Optimal Initial Data

Advanced Intelligent Discovery, EarlyView.
This work investigates the optimal initial data size for surrogate‐based active learning in functional material optimization. Using factorization machine (FM)‐based quadratic unconstrained binary optimization (QUBO) surrogates and averaged piecewise linear regression, we show that adequate initial data accelerates convergence, enhances efficiency, and ...
Seongmin Kim, In‐Saeng Suh
wiley   +1 more source

Comparative effectiveness of acupuncture, fire needle, and herbal therapies for melasma: A Bayesian network meta-analysis. [PDF]

Medicine (Baltimore)
Dai Y, Li G, Hao P.
europepmc   +1 more source

Eliciting Bayesian networks via online surveys: a new approach to knowledge elicitation

, 2017
Peter Edgar Serwylo
openalex   +1 more source

FastCat: Autonomous Discovery of Multielement Layered Double Hydroxide Alloy Catalysts for Alkaline Oxygen Evolution Reaction

Advanced Intelligent Discovery, EarlyView.
A machine learning‐guided self‐driving laboratory screened over 500 nickel‐based layered double‐hydroxide catalysts for alkaline oxygen evolution. Out of the eight metals, the robot uncovered a quaternary Ni–Fe–Cr–Co catalysts requiring only 231 mV overpotential to reach 20 mA cm−2.
Nis Fisker‐Bødker, Enzo Raffaele Moretti, Jin Hyun Chang, Tejs Vegge   +3 more
wiley   +1 more source

Comparative Efficacy of Exercise Interventions for Anxiety Disorders: A Bayesian Network Meta-Analysis. [PDF]

Psychol Res Behav Manag
Liu J, Wang H, Lan Y, Yuan D, Du B, Zhou Y, Zhang W, Ke XW, Jiang Q, Wang F, Cao S, Sun J.   +11 more
europepmc   +1 more source

Reliable and Efficient Inference of Bayesian Networks from Sparse Data by Statistical Learning Theory [PDF]

, 2003
Dominik Janzing, Daniel Herrmann
openalex   +1 more source

Bayesian Exploration of Metal‐Organic Framework‐Derived Nanocomposites for High‐Performance Supercapacitors

Advanced Intelligent Discovery, EarlyView.
An AI‐assisted approach is introduced to decode synthesis–performance relationships in metal‐organic framework‐derived supercapacitor materials using Bayesian optimization and predictive modeling, streamlining the search for optimal energy storage properties.
David Gryc, Pritam Banerjee, Felipe Jacques Lima Duarte, Joerg R. Jinschek, Premkumar Murugesan, Babak Rezaei, Stephan Sylvest Keller, Roland A. Fischer, Mian Zahid Hussain   +8 more
wiley   +1 more source

Integrative Bayesian Network Analysis of Genomic Data

Cancer Informatics, 2014
Yang Ni, Francesco C. Stingo, Veerabhadran Baladandayuthapani   +2 more
doaj  

BCTI: a Bayesian network-based method for revealing critical transitions in complex biological systems. [PDF]

PeerJ
Tong Y, Hong R, Yang N, Chen P, Peng H, Tang H, Liu R.   +6 more
europepmc   +1 more source