#property-prediction News & Analysis

2 articles tagged with #property-prediction. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBullisharXiv – CS AI · 6d ago6/10

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Periodic Topological Deep Learning for Polymer Design and Discovery

Researchers introduce Periodic-TDL, a deep learning framework using topological data analysis to predict polymer properties more accurately than existing models. The approach captures many-body interactions across polymer chains and has been validated against experimental data from newly synthesized polymers, demonstrating practical utility in accelerating polymer discovery.

AIBullisharXiv – CS AI · Mar 37/107

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Enhancing Molecular Property Predictions by Learning from Bond Modelling and Interactions

Researchers introduce DeMol, a new dual-graph framework for molecular property prediction that explicitly models both atoms and chemical bonds to achieve superior accuracy. The approach addresses limitations of conventional atom-centric models by incorporating bond-level phenomena like resonance and stereoselectivity, establishing new state-of-the-art results across multiple benchmarks.

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