SOTAVerified

Property Prediction

Property prediction involves forecasting or estimating a molecule's inherent physical and chemical properties based on information derived from its structural characteristics. It facilitates high-throughput evaluation of an extensive array of molecular properties, enabling the virtual screening of compounds. Additionally, it provides the means to predict the unknown attributes of new molecules, thereby bolstering research efficiency and reducing development times.

Papers

Showing 4150 of 691 papers

TitleStatusHype
Deep learning-based denoising for fast time-resolved flame emission spectroscopy in high-pressure combustion environmentCode1
E(n) Equivariant Topological Neural NetworksCode1
An algorithmic framework for synthetic cost-aware decision making in molecular designCode1
ChiENN: Embracing Molecular Chirality with Graph Neural NetworksCode1
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine LearningCode1
A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural LanguageCode1
Chemical-Reaction-Aware Molecule Representation LearningCode1
Copolymer Informatics with Multi-Task Deep Neural NetworksCode1
ChemLLM: A Chemical Large Language ModelCode1
Can Large Language Models Understand Molecules?Code1
Show:102550
← PrevPage 5 of 70Next →

No leaderboard results yet.