PDF] Physics-Inspired Structural Representations for Molecules and Materials.
Molecular graph representations and SELFIES: A 100% robust molecular string representation
Physics-inspired structural representations for molecules and materials - WRAP: Warwick Research Archive Portal
Inverse molecular design using machine learning: Generative models for matter engineering
Encoding the atomic structure for machine learning in materials science - Li - 2022 - WIREs Computational Molecular Science - Wiley Online Library
PDF] Physics-Inspired Structural Representations for Molecules and Materials.
Physics-Inspired Structural Representations for Molecules and Materials
PDF] Physics-Inspired Structural Representations for Molecules and Materials.
PDF) Physics-Inspired Structural Representations for Molecules and Materials
PDF] Physics-Inspired Structural Representations for Molecules and Materials.
Physics-Inspired Structural Representations for Molecules and Materials
Frontiers Deep Generative Models for Materials Discovery and Machine Learning-Accelerated Innovation
Discovery of Structural Complexity through Self‐Assembly of Molecules Containing Rodlike Components - Zhang - 2020 - Chemistry – A European Journal - Wiley Online Library