The fusion of artificial neural networks (NNs) with photonics has generated significant implications across various scientific fields and industries. A new tutorial review published in the journal ...
All experiments were performed in Python 3.8 with Pytorch (v1.10). prep_eggnet_data_protcid_model.py --dir many_xtal --label 0 --threshold 12 --skip_filter prep ...
Explainable Solvation Free Energy Prediction Combining Graph Neural Networks with Chemical Intuition
The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jcim.2c01013. Smart citations by scite.ai include citation statements ...
Abstract: Over the past decades, various neural networks have been proposed with the rapid development of the machine learning field. In particular, graph neural networks using feature-vectors ...
Abstract: Machine learning (ML) algorithms have recently become a more and more common and powerful tool in technology and science alike. Capturing ML algorithms in a Model of Computation (MoC), like ...
ABSTRACT: Intelligent equipment is a kind of device that is characterized by intelligent sensor interconnections, big data processing, new types of displays, human-machine interaction and so on for ...
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