Glycomaterials Chronicles
Explore curated research chronicles, originating experimental data, spectral analysis, and related open-access publications across carbohydrate materials research.
Toward Automatic Inference of Glycan Linkages Using MSn and Machine Learning - Proof of Concept Using Sialic Acid Linkages
Predicting the stereoselectivity of chemical reactions by composite machine learning method
Coarse-grained molecular dynamics integrated with convolutional neural network for comparing shapes of temperature sensitive bottlebrushes
Rapid, Autonomous High-throughput Characterization of Hydrogel Rheological Properties via Automated Sensing and Physics-guided Machine Learning
Experimentally validated inverse design of FeNiCrCoCu MPEAs and unlocking key insights with explainable AI
Data Driven Discovery of MOFs for Hydrogen Gas Adsorption
Imbalanced spectral data analysis using data augmentation based on the generative adversarial network
Improving biosensor accuracy and speed using dynamic signal change and theory-guided deep learning
A review of recent advances and applications of machine learning in tribology
Scalable Accelerated Materials Discovery of Sustainable Polysaccharide-Based Hydrogels by Autonomous Experimentation and Collaborative Learning
TransPeakNet for solvent-aware 2D NMR prediction via multi-task pre-training and unsupervised learning
Rapid, autonomous high-throughput characterization of hydrogel rheological properties via automated sensing and physics-guided machine learning
Graph–Graph Similarity Network
Knowledgebra: An Algebraic Learning Framework for Knowledge Graph
