{"total":16,"rows":[{"id":"2106.04781","title":"Encoding physics to learn reaction-diffusion processes","created":"2021-06-09","cited_by_count":61,"area":null},{"id":"2405.03658","title":"A review on data-driven constitutive laws for solids","created":"2024-05-06","cited_by_count":35,"area":null},{"id":"2211.00713","title":"MAgNET: A Graph U-Net Architecture for Mesh-Based Simulations","created":"2022-11-01","cited_by_count":26,"area":null},{"id":"2111.05271","title":"Stress field prediction in fiber-reinforced composite materials using a deep learning approach","created":"2021-11-01","cited_by_count":23,"area":null},{"id":"2108.02837","title":"Lossless Multi-Scale Constitutive Elastic Relations with Artificial Intelligence","created":"2021-08-05","cited_by_count":17,"area":null},{"id":"2206.01693","title":"Three-dimensional microstructure generation using generative adversarial neural networks in the context of continuum micromechanics","created":"2022-05-31","cited_by_count":11,"area":null},{"id":"2404.07943","title":"A Pretraining-Finetuning Computational Framework for Material Homogenization","created":"2024-03-18","cited_by_count":7,"area":null},{"id":"2301.02738","title":"LS-DYNA Machine Learning-based Multiscale Method for Nonlinear Modeling of Short Fiber-Reinforced Composites","created":"2023-01-06","cited_by_count":6,"area":null},{"id":"2110.13440","title":"A deep learning driven pseudospectral PCE based FFT homogenization algorithm for complex microstructures","created":"2021-10-26","cited_by_count":3,"area":null},{"id":"2304.07877","title":"A Neural Network Transformer Model for Composite Microstructure Homogenization","created":"2023-04-16","cited_by_count":3,"area":null},{"id":"2407.15665","title":"A spatiotemporal deep learning framework for prediction of crack dynamics in heterogeneous solids: efficient mapping of concrete microstructures to its fracture properties","created":"2024-07-22","cited_by_count":3,"area":null},{"id":"2507.12233","title":"Universal Fourier Neural Operators for periodic homogenization problems in linear elasticity","created":"2025-07-16","cited_by_count":3,"area":null},{"id":"2109.03020","title":"Deep Convolutional Neural Networks Predict Elasticity Tensors and their Bounds in Homogenization","created":"2021-09-04","cited_by_count":0,"area":null},{"id":"2512.16085","title":"Machine Learning Enabled Graph Analysis of Particulate Composites: Application to Solid-state Battery Cathodes","created":"2025-12-18","cited_by_count":0,"area":null},{"id":"2604.02335","title":"Convolutional Surrogate for 3D Discrete Fracture-Matrix Tensor Upscaling","created":"2026-01-19","cited_by_count":0,"area":null},{"id":"2607.13688","title":"Microstructure-Conditioned Surrogate Models for Graded Multiscale Optimization of Mycelium Composites","created":"2026-07-15","cited_by_count":0,"area":null}],"next_cursor":null}