This is the code of the Deep neural Operator for Free Boundary Problems
☆15Mar 22, 2026Updated 3 months ago
Alternatives and similar repositories for FBNO-Deep-neural-Operator-for-Free-Boundary-Problems
Users that are interested in FBNO-Deep-neural-Operator-for-Free-Boundary-Problems are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆19Feb 11, 2025Updated last year
- Numerical schemes for the Cahn-Hilliard equation.☆19May 3, 2017Updated 9 years ago
- This repository contains the source code for the research presented in the paper "Exploring hidden flow structures from sparse data throu…☆12Dec 4, 2023Updated 2 years ago
- 3D Full-Waveform Inversion for a Multi-Row Ring-Array UST System SImulated in k-Wave☆17Dec 25, 2025Updated 6 months ago
- Code for paper "Beyond Closure Models: Learning Chaotic Systems via Physics-Informed Neural Operators".☆16Dec 24, 2025Updated 6 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Perceptron-based branch predictor written in C++☆14Dec 14, 2016Updated 9 years ago
- Official code for AL-PINNS: Augmented Lagrangian relaxation method for Physics-Informed Neural Networks☆12Jul 29, 2023Updated 2 years ago
- A python implementation of the Fast Stokesian Dynamics methods (A. Fiore, J. Swan, 2019) which leverage the library JAX to just-in-time c…☆11Dec 7, 2025Updated 7 months ago
- Physics-Informed Neural Networks: Forward/Inverse Modeling of Partial Differential Equations☆21Jun 10, 2026Updated last month
- ☆16Mar 3, 2023Updated 3 years ago
- This project is divided in a two parts. In first study, Lame parameters are identified using tanh activation function. After that, six a…☆13Nov 17, 2022Updated 3 years ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆42Jun 21, 2024Updated 2 years ago
- This repository is the implementation of Deep Dirichlet Process Mixture Models (UAI 2022)☆15May 19, 2022Updated 4 years ago
- AI-CFD hybrid solver.☆16Apr 21, 2026Updated 2 months ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Benchmark for learning stiff problems using physics-informed machine learning☆13Dec 15, 2021Updated 4 years ago
- ☆55Aug 19, 2025Updated 10 months ago
- Competitive Physics Informed Networks☆31Sep 21, 2024Updated last year
- A unified interface to compute hydrodynamic displacements.☆13Updated this week
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆78Apr 17, 2026Updated 2 months ago
- ☆12Nov 30, 2022Updated 3 years ago
- 该项目使用 PyTorch 实现了一个深度学习模型,用于预测每天的最高气温。项目采用模块化设计,包含数据预处理、模型定义、训练、评估和结果可视化模块。最终结果会以图表的形式展示,并保存为图片文件。☆12Sep 7, 2024Updated last year
- 潍科运动(潍坊科技学院)&运动助手(山东理工大学)2.0.1过虚拟机检测,模拟器跑步,绕过更新,免密码任意账号登录,集成xposed模块☆12Mar 10, 2025Updated last year
- FastVPINNs - A tensor-driven acceleration of VPINNs for complex geometries☆48Feb 2, 2025Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Fourier-DeepONet: Fourier-enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robus…☆38Dec 29, 2023Updated 2 years ago
- ☆12Dec 13, 2024Updated last year
- A Python implementation of "Expansion-GRR: Efficient Generation of Smooth Global Redundancy Resolution Roadmaps"☆12Feb 10, 2026Updated 5 months ago
- SciML-Bench Benchmarks for Scientific Machine Learning (SciML), Physics-Informed Machine Learning (PIML), and Scientific AI Performance☆26Jun 28, 2026Updated 2 weeks ago
- Event-driven molecular dynamics simulations for hard spheres☆19May 4, 2026Updated 2 months ago
- ☆12May 16, 2025Updated last year
- ☆13Dec 5, 2022Updated 3 years ago
- Physcial Informed Extreme Learning Machine(PIELM) method to solve PDEs, such as Possion problem☆19Dec 6, 2024Updated last year
- PDE Preserved Neural Network☆58May 15, 2025Updated last year
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Code accompanying the manuscript "Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition m…☆16Sep 18, 2023Updated 2 years ago
- Official Implementation of "AIVT: Inference of turbulent thermal convection from measured 3D velocity data by physics-informed Kolmogorov…☆16Oct 10, 2025Updated 9 months ago
- Physics-guided neural network framework for elastic plates☆52Mar 24, 2022Updated 4 years ago
- ☆18Aug 13, 2024Updated last year
- Neural-operator element method☆59May 9, 2026Updated 2 months ago
- Koopman Kernels for Learning Dynamical Systems from Trajectory Data☆35Nov 23, 2023Updated 2 years ago
- This OpenFOAM case simulates a 3" disk dropped from a 30 cm height, into a water tank of 15x15 cm2. It uses a moving mesh technique (via …☆17Dec 21, 2022Updated 3 years ago