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RESEARCH PAPER · arXiv (Cornell University) · 2019

MATGANIP: Learning to Discover the Structure-Property Relationship in Perovskites with Generative Adversarial Networks

Junjie Hu, Mu Li, Peng Fei Gao

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MATGANIP: Learning to Discover the Structure-Property Relationship in Perovskites with Generative Adversarial NetworksOriginalWITHDRAWN: Advanced machine learning-based analytics on COVID-19 data using generative adversarial networks7COVID-19 Patterns Identification using Advanced Machine Learning and Deep Neural Network Implementation1COVID-19 Patterns Identification using Generative Adversarial Networks Based Implementation2Methods and applications of machine learning in computational design of optoelectronic semiconductors22Navigating the evolution of two-dimensional carbon nitride research: integrating machine learning into conventional approaches29

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  1. WITHDRAWN: Advanced machine learning-based analytics on COVID-19 data using generative adversarial networks

    Materials Today Proceedings · 2020-10-01

    Janga Vijay Kumar, A. Harshavardhan, Hanumanthu Bhukya, A.V. Krishna Prasad

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  2. COVID-19 Patterns Identification using Advanced Machine Learning and Deep Neural Network Implementation

    International Conference on Artificial Intelligence and Smart Energy (ICAIS) · 2022-02-23

    V. Chandra Shekhar Rao, S. Venkatramulu, M. S. B. Phridviraj, Sreenivas Pratapagiri, Sujatha Madugula, Siripuri Kiran

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  3. COVID-19 Patterns Identification using Generative Adversarial Networks Based Implementation

    Wasit Journal of Computer and Mathematics Science · 2022-03-30

    Jamal Kh-Madhloom, Maryam Jawad Kadhim, Hussein Najm Abd Ali

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  4. Methods and applications of machine learning in computational design of optoelectronic semiconductors

    Science China Materials · 2024-03-19

    Xiaoyu Yang, Kun Zhou, Xin He, Lijun Zhang

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  5. Navigating the evolution of two-dimensional carbon nitride research: integrating machine learning into conventional approaches

    Physical Chemistry Chemical Physics · 2025-01-01

    Deep Mondal, Sujoy Datta, Debnarayan Jana

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