Graph Neural Network Guided Evolutionary Search of Grain Boundaries in 2D Materials
Sign Up to like & getrecommendations! Published in 2023 at "ACS Applied Materials & Interfaces"
DOI: 10.1021/acsami.3c01161
Abstract: Grain boundaries (GBs) in two-dimensional (2D) materials are known to dramatically impact material properties ranging from the physical, chemical, mechanical, electronic, and optical, to name a few. Predicting a range of physically realistic GB structures… read more here.
Keywords: neural network; grain boundaries; graph neural; search ... See more keywords
Evolutionary Multitasking via Explicit Autoencoding
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2018.2845361
Abstract: Evolutionary multitasking (EMT) is an emerging research topic in the field of evolutionary computation. In contrast to the traditional single-task evolutionary search, EMT conducts evolutionary search on multiple tasks simultaneously. It aims to improve convergence… read more here.
Keywords: evolutionary search; via explicit; multitasking via; explicit autoencoding ... See more keywords
An Improvement on Estimated Drifter Tracking through Machine Learning and Evolutionary Search
Sign Up to like & getrecommendations! Published in 2020 at "Applied Sciences"
DOI: 10.3390/app10228123
Abstract: In this study, we estimated drifter tracking over seawater using machine learning and evolutionary search techniques. The parameters used for the prediction are the hourly position of the drifter, the wind velocity, and the flow… read more here.
Keywords: improvement; machine learning; estimated drifter; drifter tracking ... See more keywords