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  1. Home /
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  3. Vol. 1 No. 1 (2026): Artificial Intelligence in Molecular Physics

Vol. 1 No. 1 (2026): Artificial Intelligence in Molecular Physics

Volume 1, Issue 1 — April 2026

Published: 2026-04-17

Articles

  • Deep Learning Prediction of Molecular Conformational Energies from Off-Equilibrium Organic Molecular Structures

    Jisu Kim (Author)
    01-09
    • PDF
  • Characterizing Molecular Property Variations Through Multivariate Machine Learning and Descriptor Analysis

    Avik Kr. Basu (Author)
    10-21
    • PDF
  • Tracing Molecular Lipophilicity from Chemical Structure Using Interpretable Machine Learning

    Dr. Aloke Verma (Author)
    22-31
    • PDF
  • Identifying Molecular Toxicity Patterns Through Interpretable Learning of Chemical Properties

    Pratibha Omkar (Author)
    32-44
    • PDF
  • Discovering Patterns in Molecular Interaction Energies Using Explainable Machine Learning

    Dr. Mamata Rath (Author)
    45-55
    • PDF

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Artificial Intelligence in Molecular Physics publishes high-quality, peer-reviewed research at the intersection of AI, computation, and molecular science.

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