Results 141 to 150 of about 726,143 (311)

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

Review of text mining methods

, 2020
I. A. Karpov, С. В. Антоненко
openalex   +2 more sources

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

Text Mining of CVD Synthesis Recipes for 2D Materials. [PDF]

Adv Mater
Lu AY, Chen RA, Yao A, Chen MC, Park JH, Zhang T, Zheng X, Mao N, Wang J, Wang Z, Palacios T, Kong J.   +11 more
europepmc   +1 more source

Harnessing Phase Dynamics Across Diverse Frequencies with Multifrequency Oscillatory Neural Networks

Advanced Intelligent Discovery, EarlyView.
Oscillatory Neural Networks (ONNs) are an emerging computing paradigm that encodes information in the phases of coupled oscillators. Traditionally, ONNs have been investigated using homogeneous frequency oscillators. However, physical hardware implementations are inherently subject to frequency mismatches, device variability, and nonuniformities.
Nil Dinç, Filip Sabo, Aida Todri‐Sanial   +2 more
wiley   +1 more source

Integrating text mining and knowledge graph to enhance biopharmaceutical process optimization. [PDF]

PLoS One
Bhowmik S, Anandakrishnan M, Klein L, Arighi C, Gioioso M, Wu C, Brockmeier A, Vijay-Shanker K, Chen C.   +8 more
europepmc   +1 more source

Accelerating Biosensor Discovery: A Computationally‐Driven Pipeline for Microplastics Monitoring

Advanced Intelligent Discovery, EarlyView.
A computationally guided pipeline unites molecular simulation, synthetic biology, electrochemical engineering, and machine learning to accelerate biosensor discovery. A Bacillus anthracis carbohydrate‐binding module is used to develop a high‐performance micro‐ and nanoplastics sensor with greatly reduced error and variability.
Gabriel X. Pereira, Marcos de C. Leite, Pedro H. M. Zanineli, Juliana N. Y. Costa, Débora M. Cunha, Sophia P. Serra, Pedro H. Sophia, Flávio M. Shimizu, Yasmin W. Moura, Célio C. Oliveira, Gabriel R. Schleder, Gabriela F. Persinoti, Leandro Merces, Renato S. Lima   +13 more
wiley   +1 more source

Intestinal Dysbiosis Relating to Gut-Brain Axis and Behavior in Dogs: A Systematic Review with Text Mining Approach. [PDF]

Animals (Basel)
Del Treste A, Sacchettino L, Costanza D, Trapanese L, Salzano A, Napolitano F, Cortese L, d'Angelo D, Campanile G, Greco A.   +9 more
europepmc   +1 more source

A Review of Research Trends in Infant Exercise Play : Through Text Mining of Titles of Research Papers in the CiNii Datebase [PDF]

, 2018
裕子 畑野, Yuko Hatano
openalex  

Additional file 1 of Aligning text mining and machine learning algorithms with best practices for study selection in systematic literature reviews

, 2020
Evan Popoff, M. Besada, JP Jansen, Shannon Cope, Steve Kanters   +4 more
openalex   +1 more source