Computational systems biology in disease modeling and control, review and perspectives | npj Systems Biology and Applications
Structure-Based de Novo Molecular Generator Combined with Artificial Intelligence and Docking Simulations | Journal of Chemical Information and Modeling
A Periodic Table of Rejected Element Names – Compound Interest
Artificial Intelligence in Meta-optics | Chemical Reviews
Generative adversarial networks unlock new methods for cognitive science: Trends in Cognitive Sciences
A Periodic Table Of Fictional Elements
Generative Models for De Novo Drug Design | Journal of Medicinal Chemistry
Molecular Generative Model Based on an Adversarially Regularized Autoencoder | Journal of Chemical Information and Modeling
Applied Sciences | Free Full-Text | OMECDN: A Password-Generation Model Based on an Ordered Markov Enumerator and Critic Discriminant Network
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Accurate prediction of molecular properties and drug targets using a self-supervised image representation learning framework | Nature Machine Intelligence
Recent advances and applications of deep learning methods in materials science | npj Computational Materials
Next-generation deep learning based on simulators and synthetic data: Trends in Cognitive Sciences
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Machine learning toward advanced energy storage devices and systems - ScienceDirect
Applied Sciences | Free Full-Text | A Deep Convolutional Generative Adversarial Networks-Based Method for Defect Detection in Small Sample Industrial Parts Images
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Machine intelligence for chemical reaction space - Schwaller - 2022 - WIREs Computational Molecular Science - Wiley Online Library
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Designing complex architectured materials with generative adversarial networks | Science Advances
Deep learning model to predict complex stress and strain fields in hierarchical composites | Science Advances
