Results 181 to 190 of about 63,287 (274)

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

Finemap-MiXeR: A variational Bayesian approach for genetic finemapping. [PDF]

PLoS Genet
Akdeniz BC, Frei O, Shadrin A, Vetrov D, Kropotov D, Hovig E, Andreassen OA, Dale AM.   +7 more
europepmc   +1 more source

Extracting Common Mode Errors of Regional GNSS Position Time Series in the Presence of Missing Data by Variational Bayesian Principal Component Analysis. [PDF]

Sensors (Basel), 2020
Li W, Jiang W, Li Z, Chen H, Chen Q, Wang J, Zhu G.   +6 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

IVEA: an integrative variational Bayesian inference method for predicting enhancer-gene regulatory interactions. [PDF]

Bioinform Adv
Kimura Y, Ono Y, Katayama K, Imoto S.
europepmc   +1 more source

Taguchi–Bayesian Sampling: A Roadmap for Polymer Database Construction Toward Small Representative Machine Learning

Advanced Intelligent Discovery, EarlyView.
This article establishes a Taguchi–Bayesian sampling strategy to reconstruct polymer processing–property landscape at minimal sampling cost, generically building the roadmap for materials database construction from sampling their vast design space. This sampling strategy is featured by an alternating lesson between uniformity and representativeness ...
Han Liu, Liantang Li
wiley   +1 more source

Dual-Model Derailment Detection Algorithm Based on Variational Bayesian Kalman Filtering. [PDF]

Micromachines (Basel)
Fan S, Gao X, Zhang Y, Chen H, Yi G, Hao Q.   +5 more
europepmc   +1 more source

Evaluating probabilistic programming and fast variational Bayesian inference in phylogenetics. [PDF]

PeerJ, 2019
Fourment M, Darling AE.
europepmc   +1 more source

Self‐Driving Laboratory Optimizes the Lower Critical Solution Temperature of Thermoresponsive Polymers

Advanced Intelligent Discovery, EarlyView.
A low‐cost, self‐driving laboratory is developed to democratize autonomous materials discovery. Using this "frugal twin" hardware architecture with Bayesian optimization, the platform rapidly converges to target lower critical solution temperature (LCST) values while self‐correcting from off‐target experiments, demonstrating an accessible route to data‐
Guoyue Xu, Renzheng Zhang, Tengfei Luo
wiley   +1 more source

Variational Bayesian phylogenies through matrix representation of tree space. [PDF]

PeerJ
Bouckaert RR.
europepmc   +1 more source