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RESEARCH PAPER · ACS Omega · 2023

Predicting Poisson’s Ratio: A Study of Semisupervised Anomaly Detection and Supervised Approaches

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10 direct citing papers in this saved network. Explore the next layer with second-order citations.

Open in your workspace →Saved 2026-10-14 · complete coverage
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42 direct citing works

Predicting Poisson’s Ratio: A Study of Semisupervised Anomaly Detection and Supervised ApproachesOriginalA critical review on the application of machine learning in supporting auxetic metamaterial design18Machine Learning Guided Discovery of Non‐Linear Optical Materials14Modeling Techniques1Advancements in thermochemical predictions: a multi-output thermodynamics-informed neural network approach13Introduction to artificial intelligence in chemical engineering0Predicting Materials Using Variational Autoencoders: A Systematic Literature Review8Estimation of Poisson's Ratio of Potato Flesh: A Finite Element Analysis Approach0Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning0Shear Mechanism of Pile–Rock Interface Considering Interface Asperities in Hard Rock-Socketed Piles0Machine learning predictions of optical properties in metal-organic complexes: linear and nonlinear constants0

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  1. A critical review on the application of machine learning in supporting auxetic metamaterial design

    Journal of Physics Materials · 2024-03-13

    Chonghui Zhang, Yaoyao Fiona Zhao

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  2. Machine Learning Guided Discovery of Non‐Linear Optical Materials

    Advanced Theory and Simulations · 2024-11-27

    Sownyak Mondal, Raheel Hammad

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  3. Modeling Techniques

    SpringerBriefs in applied sciences and technology · 2025-01-01

    Arnold Ano-os Lubguban, Arnold C. Alguno, Roberto M. Malaluan, Gerard G. Dumancas

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  4. Advancements in thermochemical predictions: a multi-output thermodynamics-informed neural network approach

    Journal of Cheminformatics · 2025-06-16

    Raheel Hammad, Sownyak Mondal

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  5. Introduction to artificial intelligence in chemical engineering

    Elsevier eBooks · 2025-10-17

    Bilal Fareed, Tazien Rashid, Farooq Sher, Naadhira Seedat, Miguel Angel Pans Castillo, Anka Trajkovska Petkoska, Edisa Papraćanin, Mika E. T. Sillanpää

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  6. Predicting Materials Using Variational Autoencoders: A Systematic Literature Review

    Archives of Computational Methods in Engineering · 2026-01-07

    Mohammad Mazedul Islam, T. M. A. Iqbal Bin Belal, Md. Arif Hossain Chowdhury Anik, Ahmed Sharif

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  7. Estimation of Poisson's Ratio of Potato Flesh: A Finite Element Analysis Approach

    Potato Research · 2026-01-19

    Huseyin Kursat Celik, İbrahim Akıncı, Kubilay Kazım Vursavuş, Jenny Roberts, Rennie E.W. Rennie

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  8. Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

    Advanced Intelligent Discovery · 2026-03-01

    Shengyu Lu, Xiangying Shen

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  9. Shear Mechanism of Pile–Rock Interface Considering Interface Asperities in Hard Rock-Socketed Piles

    Rock Mechanics and Rock Engineering · 2026-05-19

    Guohang Tang, Xianfeng Ma, Yujie Bai, Sen Li, Haihua Zhang

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  10. Machine learning predictions of optical properties in metal-organic complexes: linear and nonlinear constants

    Molecular Crystals and Liquid Crystals · 2026-09-28

    Kalaivani H, Chitra Mangalaraj

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