| DiffTaichi: Differentiable Programming for Physical Simulation | Oct 1, 2019 | Physical Simulations | CodeCode Available | 1 |
| DeePore: a deep learning workflow for rapid and comprehensive characterization of porous materials | May 3, 2020 | Physical Simulations | CodeCode Available | 1 |
| SuperCaustics: Real-time, open-source simulation of transparent objects for deep learning applications | Jul 23, 2021 | Caustics SegmentationDepth Completion | CodeCode Available | 1 |
| METASET: Exploring Shape and Property Spaces for Data-Driven Metamaterials Design | Jun 1, 2020 | Physical SimulationsPoint Processes | CodeCode Available | 1 |
| DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training | Oct 3, 2023 | Adversarial DefenseComputational Efficiency | CodeCode Available | 1 |
| ClimART: A Benchmark Dataset for Emulating Atmospheric Radiative Transfer in Weather and Climate Models | Nov 29, 2021 | BenchmarkingPhysical Simulations | CodeCode Available | 1 |
| PBNS: Physically Based Neural Simulator for Unsupervised Garment Pose Space Deformation | Dec 21, 2020 | Physical Simulations | CodeCode Available | 1 |
| φ-SfT: Shape-from-Template with a Physics-Based Deformation Model | Mar 22, 2022 | 3D ReconstructionPhysical Simulations | CodeCode Available | 1 |
| Embedding physics domain knowledge into a Bayesian network enables layer-by-layer process innovation for photovoltaics | Jan 31, 2020 | Bayesian InferencePhysical Simulations | CodeCode Available | 1 |
| Interpolating neural network: A novel unification of machine learning and interpolation theory | Apr 16, 2024 | GPUPhysical Simulations | CodeCode Available | 1 |
| E-LMC: Extended Linear Model of Coregionalization for Spatial Field Prediction | Mar 1, 2022 | Physical Simulations | —Unverified | 0 |
| Accelerate Neural Subspace-Based Reduced-Order Solver of Deformable Simulation by Lipschitz Optimization | Sep 5, 2024 | Physical Simulations | —Unverified | 0 |
| A Crystal-Specific Pre-Training Framework for Crystal Material Property Prediction | Jun 8, 2023 | AttributePhysical Simulations | —Unverified | 0 |
| A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder | Sep 25, 2020 | Physical Simulations | —Unverified | 0 |
| A high-efficiency model indicating the role of inhibition in the resilience of neuronal networks to damage resulting from traumatic injury | Apr 1, 2023 | Physical Simulations | —Unverified | 0 |
| AMR-Transformer: Enabling Efficient Long-range Interaction for Complex Neural Fluid Simulation | Mar 13, 2025 | Physical Simulations | —Unverified | 0 |
| A Rate-Distortion Framework for Explaining Black-box Model Decisions | Oct 12, 2021 | Physical Simulations | —Unverified | 0 |
| A Taylor Based Sampling Scheme for Machine Learning in Computational Physics | Jan 20, 2021 | BIG-bench Machine LearningPhysical Simulations | —Unverified | 0 |
| Bayesian Neural Ordinary Differential Equations | Dec 14, 2020 | Bayesian InferenceBIG-bench Machine Learning | —Unverified | 0 |
| C(NN)FD -- a deep learning framework for turbomachinery CFD analysis | Jun 9, 2023 | Deep LearningPhysical Simulations | —Unverified | 0 |
| Deep learning modelling of manufacturing and build variations on multi-stage axial compressors aerodynamics | Oct 6, 2023 | Dimensionality ReductionPhysical Simulations | —Unverified | 0 |
| Complete End-To-End Low Cost Solution To a 3D Scanning System with Integrated Turntable | Sep 3, 2017 | 3D ReconstructionObject Recognition | —Unverified | 0 |
| Constraint-based graph network simulator | Dec 16, 2021 | Graph Neural NetworkPhysical Simulations | —Unverified | 0 |
| Data-driven Modeling of Combined Sewer Systems for Urban Sustainability: An Empirical Evaluation | Aug 21, 2024 | Physical Simulations | —Unverified | 0 |
| Enforcing the Principle of Locality for Physical Simulations with Neural Operators | May 2, 2024 | Physical Simulations | —Unverified | 0 |
