Author

Alexander Landera

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Open access Jul 2026

P2MAT: A machine learning (ML) driven software for Property Prediction of MATerial.

This study presents a data-driven machine learning approach to predict the melting points of organic compounds, leveraging both 2D and 3D molecular descriptors and indicates that ML models can significantly improve melting-point predictions, providing a robust tool for the scientific community.

Md Kamruzzaman, Alexander Landera, N. Menon et al. · Journal of Cheminformatics · 1 citation