Paper Reading Log

Date	Title	Publication
July, 2020	A Bayesian Approach to Predict Solubility Parameters	Advanced Theory and Simulations
July, 2020	A Deep Learning Solvent-Selection Paradigm Powered by a Massive Solvent/NonSolvent Database for Polymers	Macromolecules
Dec, 2020	Machine learning with physicochemical relationships solubility prediction in organic solvents and water	Nature Comm

Date	Title	Publication	Keywords

Name		Name	Last commit message	Last commit date
Latest commit History 54 Commits
AI-based_Materials_Design(5043745601)		AI-based_Materials_Design(5043745601)
lab-seminar-PT		lab-seminar-PT
Convolutional Networks on Graphs for Learning Molecular Fingerprints.md		Convolutional Networks on Graphs for Learning Molecular Fingerprints.md
Discovering Relationships between OSDAs and Zeolites through Data Mining and Generative Neural Networks.md		Discovering Relationships between OSDAs and Zeolites through Data Mining and Generative Neural Networks.md
Machine learning with physicochemical relationships: solubility prediction in organic solvents and water.md		Machine learning with physicochemical relationships: solubility prediction in organic solvents and water.md
Polymers for Extreme Conditions Designed Using Syntax-Directed Variational Autoencoders.md		Polymers for Extreme Conditions Designed Using Syntax-Directed Variational Autoencoders.md
README.md		README.md
Text mining for processing conditions of solid-state battery electrolytes.md		Text mining for processing conditions of solid-state battery electrolytes.md
Unsupervised representation learning with Deep Convolutional Generative Adversarial Networks (DCGAN).md		Unsupervised representation learning with Deep Convolutional Generative Adversarial Networks (DCGAN).md

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