Developing Quantum-Physics Inspired Machine Learning Model for the Partition Coefficient Prediction and Comparing its Performance with the Empirical Descriptors and Molecular Graph-based Models

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Authors: Abhishek Tripathi
Cited by: 0

Abstract

Supplementary Information for logP Prediction. It has dataset, figures, tables, and gnn code.

Fields of Study & Subjects

Computational Drug Discovery Methods Machine Learning in Materials Science Advanced Chemical Physics Studies

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
8 March 2026
Language
EN