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RESEARCH PAPER · The Journal of Physical Chemistry B · 2023

Data-Driven Imputation of Miscibility of Aqueous Solutions via Graph-Regularized Logistic Matrix Factorization

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Open in your workspace →Saved 2026-10-14 · complete coverage
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Data-Driven Imputation of Miscibility of Aqueous Solutions via Graph-Regularized Logistic Matrix FactorizationOriginalVirtual Special Issue on Machine Learning in Physical Chemistry Volume 21Virtual Special Issue on Machine Learning in Physical Chemistry Volume 20Virtual Special Issue on Machine Learning in Physical Chemistry Volume 22Machine Learning-Enabled Parallel Prediction and Co-Design of Polyimides for Tailored Glass Transition, Dielectric, and Bandgap Properties10Machine learning-driven design of polyimides with tailored dielectric constants4Molecular Foundation Models for Predicting Self-Assembly in Aqueous Mixtures2

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  1. Virtual Special Issue on Machine Learning in Physical Chemistry Volume 2

    The Journal of Physical Chemistry A · 2024-07-11

    Andrew L. Ferguson, Jim Pfaendtner

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  2. Virtual Special Issue on Machine Learning in Physical Chemistry Volume 2

    The Journal of Physical Chemistry C · 2024-07-11

    Andrew L. Ferguson, Jim Pfaendtner

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  3. Virtual Special Issue on Machine Learning in Physical Chemistry Volume 2

    The Journal of Physical Chemistry B · 2024-07-11

    Andrew L. Ferguson, Jim Pfaendtner

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  4. Machine Learning-Enabled Parallel Prediction and Co-Design of Polyimides for Tailored Glass Transition, Dielectric, and Bandgap Properties

    ACS Omega · 2025-10-01

    Boyang Liang, Wenjia Huo, Xiang Xia Wu, Rongrong Zheng

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  5. Machine learning-driven design of polyimides with tailored dielectric constants

    Computational Materials Science · 2025-11-03

    Rongrong Zheng, Boyang Liang, Wenjia Huo, Xiang Xia Wu, Yaoyao Bai

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  6. Molecular Foundation Models for Predicting Self-Assembly in Aqueous Mixtures

    Langmuir · 2026-03-04

    Hao Liu, M. C. Ekosso, Avery Glagovich, Sarah Maurer, Joshua Schrier

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