Results 251 to 260 of about 7,762,731 (372)

Physical education teaching scheduling technology based on chaotic genetic algorithm. [PDF]

Sci Rep
Luo Y, Niu P.
europepmc   +1 more source

Consolidate Overview of Ribonucleic Acid Molecular Dynamics: From Molecular Movements to Material Innovations

Advanced Engineering Materials, EarlyView.
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley   +1 more source

Machine Learning‐Guided Discovery of Factors Governing Deformation Twinning in Mg–Y Alloys

Advanced Engineering Materials, EarlyView.
This study uses interpretable machine learning to identify key microstructural and processing parameters related to twinning in magnesium‐yttrium (Mg–Y) alloys. It is identified that using only grain size, grain orientation, and total applied strain, grains can be classified with 84% accuracy based on whether the grain contains a twin.
Peter Mastracco, Kehang Yu, Xin Wang, Crystal Murillo, Carlos Melchor, Calvin H. Belcher, Julie M. Schoenung, Enrique J. Lavernia, Stacy M. Copp   +8 more
wiley   +1 more source

Optimizing the Design of TES Tanks for Thermal Energy Storage Applications Through an Integrated Biomimetic-Genetic Algorithm Approach. [PDF]

Biomimetics (Basel)
Mehraj N, Mateu C, Zsembinszki G, Cabeza LF.   +3 more
europepmc   +1 more source

Use of genetic algorithms and neural networks to optimize well locations and reduce well requirements

, 1994
Virginia M. Johnson, Leah L. Rogers
openalex   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

Advanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani, Surabhi Nadigotti, Erfan Fatehi, Derek Aranguren van Egmond, Behnam Ashrafi   +4 more
wiley   +1 more source

Adaptive genetic algorithm based deep feature selector for cancer detection in lung histopathological images. [PDF]

Sci Rep
Roy A, Saha P, Gautam N, Schwenker F, Sarkar R.   +4 more
europepmc   +1 more source

On the Rigidity and Mechanical Behavior of Triply Periodic Minimal Surfaces‐Based Lattices: Insights from Extensive Experiments and Simulations

Advanced Engineering Materials, EarlyView.
This study examines the mechanical properties of triply periodic minimal surfaces (TPMS)‐based lattices, analyzing 36 architectures in elastic and plastic regimes. It evaluates the applicability of beam‐based scaling laws to TPMS lattices. Rigidity arises from the alignment of members with the load direction and solid regions preventing rotation.
Lucía Doyle, Humberto Terrones, Carlos González   +2 more
wiley   +1 more source

Distributed communication interference resource scheduling using the master-slave parallel scheduling genetic algorithm. [PDF]

Sci Rep
Wei Z, Wu W, Zhan J, Zhang Z.
europepmc   +1 more source

Improved Genetic Algorithm for Solving Multiobjective Solid Transportation Problem with Fuzzy Numbers

, 1997
Yinzhen Li, K. Ida, Mitsuo Gen
openalex   +2 more sources