Results 211 to 220 of about 123,558 (314)

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

Advanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung, Jiaxiang Yi, Hieu Nguyen‐Duc, Tien Nu Hoang Lo, Weili Zhao, Chaoqun Dong, Fabien Sorin, Baris Caglar, Lei Wei, Tung Nguyen‐Dang   +9 more
wiley   +1 more source

Evolutionary algorithms simulating molecular evolution: a new field proposal. [PDF]

Brief Bioinform
Browning JSL, Tauritz DR, Beckmann J.
europepmc   +1 more source

Optimization of Deep Architectures for EEG Signal Classification: An AutoML Approach Using Evolutionary Algorithms. [PDF]

Sensors (Basel), 2021
Aquino-Brítez D, Ortiz A, Ortega J, León J, Formoso M, Gan JQ, Escobar JJ.   +6 more
europepmc   +1 more source

Model-Based Evolutionary Algorithms [PDF]

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2013
Dirk Thierens, Peter A. N. Bosman
openaire   +9 more sources

Machine Learning Accelerated Computational Design of Bio‐Inspired Catalysts in the Nitrogen Reduction Reaction

Advanced Materials, EarlyView.
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano, Zihan You, Haoran Chen, Qifan Zhong, Rong‐Zhen Liao, Shaoqi Zhan   +5 more
wiley   +1 more source

Determining Thermophysical Parameters of Cryopreserved Articular Cartilage Using Evolutionary Algorithms and Experimental Data. [PDF]

Materials (Basel)
Piasecka-Belkhayat A, Skorupa A, Paruch M.   +2 more
europepmc   +1 more source

Ferroelectric Dynamic‐Field‐Driven Nucleation and Growth Model for Predictive Materials‐To‐Circuit Co‐Design

Advanced Materials, EarlyView.
This study presents a compact dynamic‐field‐driven nucleation and growth (DFNG) model that captures ferroelectric switching behavior under arbitrary voltage waveforms. It enables extraction of time‐dependent domain wall velocity and growth dimensionality, which can then be extended to device‐level modeling.
Yi Liang, Soohyeon Kim, Tony Chiang, Megan K. Lenox, Ian Mercer, John J. Plombon, Jon‐Paul Maria, Jon F. Ihlefeld, Wenhao Sun, Wei Lu, John T. Heron   +10 more
wiley   +1 more source

A comparison of three evolutionary algorithms for group scheduling in theme parks with multitype facilities. [PDF]

Sci Prog
Hsieh YC, You PS.
europepmc   +1 more source

Engineered Heparinized GQDS/HPEI–Polyamide Membrane for Bilirubin Removal via One Step Anti Coagulation

Advanced Materials Interfaces, EarlyView.
A multifunctional heparinized polyamide membrane embedded with graphene quantum dots (GQDs) and hyperbranched polyethyleneimine (HPEI) is engineered for efficient bilirubin removal via a one‐step anticoagulation–adsorption process. The membrane demonstrates enhanced hemocompatibility, prolonged clotting times, and high bilirubin adsorption capacity ...
Abdur Rehman Mushtaq Ahmad, Maria Wasim, Aneela Sabir, Muhammad Shafiq, Syed Abdul Basit Shah, Maoz Maoz, Vanni Lughi   +6 more
wiley   +1 more source

Tuning Reinforcement Learning Parameters for Cluster Selection to Enhance Evolutionary Algorithms. [PDF]

ACS Eng Au
Villavicencio N, Groves MN.
europepmc   +1 more source