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Artificial Intelligence in Metamaterial Informatics for Sonic Frequency Mechanical Identification Tags

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A Computational Renaissance in High-Energy Density Materials (HEDMs) Research

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An inverse design framework for optimizing tensile strength of composite materials based on a CNN surrogate for the phase field fracture model

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Artificial Intelligence Empowered New Materials: Discovery, Synthesis, Prediction to Validation

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Composites Communications, 2025, 53, 102219
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Advances in the analysis of honeycomb structures: A comprehensive review

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Deep learning-based correlation analysis of ceramic fiber composites enabled by an automated manufacturing process

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Machine Learning‐Based Inverse Design for Functional Materials: Methods, Challenges, and Engineering Applications

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Prediction of damage evolution in CMCs considering the real microstructures through a deep-learning scheme

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Deep-learning-based generative design for optimal reactive silencers

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International Journal of Mechanical Sciences, 2024, 284, 109736
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Optimizing chamber systems for deposition processes in the semiconductor industry with deep learning framework: tackling small simulation datasets

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Multi-fidelity learning-based latent diffusion model for three-dimensional inverse microstructure design of dual phase steels

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Materials & Design, 2025, 258, 114623
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3D printing technology in concrete construction

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Physically constrained 3D diffusion for inverse design of fiber-reinforced polymer composite materials

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Composites Part B: Engineering, 2025, 303, 112515
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Univariate conditional variational autoencoder for morphogenic pattern design in frontal polymerization-based manufacturing

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Computer Methods in Applied Mechanics and Engineering, 2025, 438, 117848
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