Sensor-Integrated Inverse Design of Sustainable Food Packaging Materials via Generative Adversarial Networks

Sensor-Integrated Inverse Design of Sustainable Food Packaging Materials via Generative Adversarial Networks

This study introduces a novel framework for the inverse design of sustainable food packaging materials using generative adversarial networks (GANs) and the recently released OMat24 dataset containing 110 million DFT-calculated inorganic material structures. Our approach transforms traditional materi...

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Bibliographic Details
Main Authors: Yang Liu, Lanting Guo, Xiaoyu Hu, Mengjie Zhou
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Sensors
Subjects:
inverse materials design
generative adversarial networks
sustainable food packaging
biodegradable materials
graph neural networks
sensor integration
Online Access:https://www.mdpi.com/1424-8220/25/11/3320
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