This repo includes the dataset/code of 3D Convolutional Neural Network for material property prediction
☆20Aug 15, 2020Updated 5 years ago
Alternatives and similar repositories for 3D-ConvNeuralNet-material-property-prediction
Users that are interested in 3D-ConvNeuralNet-material-property-prediction are comparing it to the libraries listed below
Sorting:
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆32Dec 24, 2021Updated 4 years ago
- Physics-encoded recurrent convolutional neural network☆48Jan 3, 2022Updated 4 years ago
- physics-informed neural network for elastodynamics problem☆157Jan 20, 2022Updated 4 years ago
- Implementation of 'Inverting the structure-property map of truss metamaterials via deep learning' (PNAS)☆31Oct 17, 2024Updated last year
- Implementation of "Denoise Pretraining on Non-equilibrium Molecular Conformations for Accurate and Transferable Neural Potentials" in PyT…☆14Jul 26, 2023Updated 2 years ago
- ☆21Jun 28, 2025Updated 8 months ago
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆16Feb 17, 2021Updated 5 years ago
- Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation☆21Nov 8, 2022Updated 3 years ago
- Some useful extensions for NumPy☆30Jun 21, 2024Updated last year
- PFASST++ is a C++ implementation of the "parallel full approximation scheme in space and time" (PFASST) algorithm☆37Dec 12, 2016Updated 9 years ago
- PHASE(Parallel High-performence Agent-based Simulation Environment)☆10Jun 30, 2020Updated 5 years ago
- Physics-informed neural network for solving fluid dynamics problems☆266Jan 28, 2021Updated 5 years ago
- Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)☆32Jan 15, 2022Updated 4 years ago
- Implementation of followinf estimation algorithms in python: Kalman Filter, Extended Kalman Filter, Unscented Kalman Filter, Cubature Kal…☆11Dec 2, 2023Updated 2 years ago
- CU-BEN serial version: geometric and material nonlinear static and transient dynamic structural analysis/ linear acoustic fluid structure…☆11Apr 19, 2020Updated 5 years ago
- ☆10Oct 31, 2021Updated 4 years ago
- ☆11Jun 22, 2025Updated 8 months ago
- Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".☆38Jun 14, 2022Updated 3 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆168May 15, 2024Updated last year
- A comprehensive gear eccentricity dataset with multiple fault severity levels: Description, characteristics analysis, and fault diagnosis…☆12Feb 6, 2026Updated last month
- 本科毕业设计,液态金属性能预测和训练平台,用Django作为后端,Echarts呈现图表的可视化数据大屏☆13May 16, 2022Updated 3 years ago
- ☆15Sep 27, 2024Updated last year
- ☆12Jun 10, 2024Updated last year
- 数控加工单元数字孪生☆12Jul 6, 2021Updated 4 years ago
- Image-Based Mesh Generation☆13Apr 7, 2024Updated last year
- KTH-FlowAI / Towards-extraction-of-orthogonal-and-parsimonious-non-linear-modes-from-turbulent-flows☆12Apr 5, 2023Updated 2 years ago
- xDEVS: A cross-platform Discrete EVent System simulator☆14Nov 14, 2025Updated 3 months ago
- Publication of Python code used to train ModalPINN☆11May 5, 2022Updated 3 years ago
- Unsupervised learning of structure in systems of interacting particles.☆13Nov 13, 2023Updated 2 years ago
- Predicting 2D Steady State Fluid Flow Fields using Convolutional Neural Networks☆11Oct 3, 2020Updated 5 years ago
- MPIA Python Tutorial Source☆14May 15, 2012Updated 13 years ago
- ☆14Mar 3, 2022Updated 4 years ago
- ☆19Aug 11, 2025Updated 6 months ago
- MetamatBench: Integrating Heterogeneous Data, Computational Tools, and Visual Interface for Metamaterial Discovery☆16Jun 14, 2025Updated 8 months ago
- Physics-informed deep super-resolution of spatiotemporal data☆49Sep 5, 2023Updated 2 years ago
- CRATE: Accurate and efficient clustering-based nonlinear analysis of heterogeneous materials through computational homogenization☆44Jul 11, 2025Updated 7 months ago
- Visualization for SciPy sparse matrices.☆42May 26, 2021Updated 4 years ago
- Materials representation plays a key role in machine learning based prediction of materials properties and new materials discovery. Curre…☆13Jan 15, 2021Updated 5 years ago
- 湖南大学博士毕业论文Latex模版☆12May 29, 2019Updated 6 years ago