--- id: "/science-medicine/physics-simulation/page/2/" title: "physics & simulation: 69 curated resources · page 2" url: "https://skillissue.dev/science-medicine/physics-simulation/page/2/" --- # physics & simulation: 69 curated resources physics & simulation [Beginner](/science-medicine/beginner/index.md) [Intermediate](/science-medicine/intermediate/index.md) [Advanced](/science-medicine/advanced/index.md) [Expert](/science-medicine/expert/index.md) 69 resources · page 2 of 3 - ### [CityLearn: Your first simulation](/frontier/research-feeds/building-hvac-storage-control-citylearn-quickstart-verified-free-simulation-tuto/index.md) by [CityLearn (Intelligent Environments Lab, UT Austin)](https://www.citylearn.net/) CityLearn quickstart: tutorial for running a first building-energy simulation for reinforcement-learning control. Beginner learning_resource course Global en - ### [Getting Started with PyHealth](/frontier/research-feeds/clinical-ehr-mortality-prediction-getting-started-with-pyhealth-verified-free-tu/index.md) by [PyHealth project (Sunlab, UIUC)](https://github.com/sunlabuiuc/PyHealth) PyHealth getting-started guide for building and evaluating healthcare AI models on EHR data. Beginner learning_resource guide West en - ### [DeepChem: An Introduction to MoleculeNet](/frontier/research-feeds/drug-discovery-molecular-property-prediction-deepchem-an-introduction-to-molecul/index.md) by [DeepChem](https://deepchem.io/) DeepChem tutorial introducing MoleculeNet datasets for molecular property prediction in drug discovery. Beginner learning_resource guide Global en - ### [matminer examples: Predicting bulk modulus](/frontier/research-feeds/materials-elastic-property-prediction-matminer-introduction-predicting-bulk-modu/index.md) by [Hacking Materials Research Group](https://hackingmaterials.lbl.gov) Matminer example notebook predicting materials bulk modulus with machine learning. Beginner learning_resource guide - ### [armory-library: Getting Started](/frontier/research-feeds/open-defence-research-perception-robustness-assurance-armory-library-getting-sta/index.md) by [Two Six Technologies](https://www.twosixtech.com) Armory-library getting-started guide: Python library for evaluating adversarial robustness of ML models. Beginner learning_resource guide US en - ### [robomimic: Getting Started](/frontier/research-feeds/robot-arm-imitation-learning-robomimic-getting-started-verified-free-simulated-m/index.md) by [robomimic](https://github.com/robomimic) robomimic getting-started guide with a quickstart notebook for training imitation-learning policies on robot arms. Beginner learning_resource docs US/global en - ### [Introduction to TorchGeo](/frontier/research-feeds/satellite-land-cover-segmentation-introduction-to-torchgeo-verified-free-geospat/index.md) by [TorchGeo project](https://github.com/microsoft/torchgeo) TorchGeo introductory tutorial on loading geospatial datasets and training land-cover segmentation models. Beginner learning_resource guide US/global en - ### [AIRI report 2024 (EN PDF)](/frontier/research-feeds/airi-report-2024-en-pdf/index.md) by [AIRI (Artificial Intelligence Research Institute)](https://airi.net/) AIRI 2024 annual report (PDF) describing the Russian AI institute's research groups and results. Intermediate learning_resource paper Russia en - ### [Amazon Science blog](/frontier/research-feeds/amazon-science-blog/index.md) by [Amazon Science](https://amazon.science/) Amazon Science blog with research posts and papers from Amazon scientists on machine learning and AI. Intermediate learning_resource blog US en - ### [NASA ProgPy: Modeling and Sim Guide](/frontier/research-feeds/component-degradation-predictive-maintenance-nasa-progpy-modeling-and-sim-guide-/index.md) by [NASA](https://www.nasa.gov/software) NASA ProgPy guide to building and simulating prognostics models for component degradation. Intermediate learning_resource guide United States en - ### [Grid2Op getting started: small example notebook](/frontier/research-feeds/electricity-grid-agent-simulation-grid2op-small-example-notebook/index.md) by [Grid2Op](https://grid2op.energy) Grid2Op small-example notebook showing how to simulate power-grid control with agents. Intermediate learning_resource guide EU (FR) en - ### [exoplanet-ml: AstroNet](/frontier/research-feeds/exoplanet-transit-classification-astronet-training-and-evaluation/index.md) by [Google Research](https://research.google) Google Research AstroNet README: training and evaluating a neural network that classifies exoplanet transits. Intermediate learning_resource guide US en - ### [Anomalib in 15 Minutes](/frontier/research-feeds/manufacturing-visual-defect-inspection-anomalib-in-15-minutes-verified-f/index.md) by [Anomalib project (Open Edge Platform)](https://github.com/open-edge-platform/anomalib) Anomalib 15-minute tutorial: training a model to detect visual anomalies in a dataset. Intermediate learning_resource guide US/global en - ### [WeatherNext 1 Graph (GraphCast) guide](/frontier/research-feeds/medium-range-weather-forecasting-weathernext-1-graph-graphcast-guide/index.md) by [Google DeepMind](https://www.deepmind.com/) Google DeepMind WeatherNext 1 Graph (GraphCast) documentation for medium-range weather forecasting. Intermediate learning_resource guide UK en - ### [Open Data Science](/frontier/research-feeds/open-data-science/index.md) by [Open Data Science (ODS.ai)](https://ods.ai/) Open Data Science (ODS.ai): Russian-speaking data science community with courses, events and competitions. Intermediate learning_resource guide Russia-origin; international ru - ### [Physics-informed machine learning (Nature Reviews Physics)](/frontier/research-feeds/physics-informed-machine-learning-nature-reviews-physics/index.md) by [George Em Karniadakis et al. (Brown University)](https://www.brown.edu/) Nature Reviews Physics review (2021) of physics-informed machine learning. Intermediate–Advanced learning_resource paper West en - ### [Scanpy: Preprocessing and clustering 3k PBMCs](/frontier/research-feeds/single-cell-transcriptomic-clustering-scanpy-preprocessing-and-clustering-3k-pbm/index.md) by [scverse (Scanpy)](https://scverse.org/) Scanpy tutorial on preprocessing and clustering 3k PBMC single-cell RNA-seq data. Intermediate learning_resource guide Germany/global en - ### [Actuarial Data Science](/frontier/research-feeds/actuarial-data-science/index.md) by [Swiss Association of Actuaries (Actuarial Data Science)](https://www.actuarialdatascience.org/) Actuarial Data Science site from the Swiss Association of Actuaries with tutorials and notebooks applying ML to insurance. Advanced learning_resource course Switzerland/global en - ### [Autoware Documentation](/frontier/research-feeds/autoware/index.md) by [Autoware Foundation](https://autoware.org/) Autoware documentation: open-source autonomous-driving software stack, with architecture, setup and deployment guides. Advanced learning_resource docs Japan/global en - ### [CARLA](/frontier/research-feeds/carla/index.md) by [CARLA team](https://carla.org/) CARLA simulator documentation: setup, Python API, sensors and scenarios for autonomous-driving research. Advanced learning_resource docs Spain/global en - ### [DeepONet (Lu et al.)](/frontier/research-feeds/deeponet-lu-et-al/index.md) by [Lu Lu et al. (Brown University)](https://www.brown.edu/) arXiv paper (2019) introducing DeepONet for learning nonlinear operators of differential equations. Advanced–Expert learning_resource paper West en - ### [Fourier Neural Operator (Li et al.)](/frontier/research-feeds/fourier-neural-operator-li-et-al/index.md) by [Zongyi Li et al. (Caltech)](https://www.caltech.edu/) arXiv paper (2020) introducing the Fourier Neural Operator for learning parametric PDE solutions. Advanced–Expert learning_resource paper West en - ### [Intern-S1: A Scientific Multimodal Foundation Model](/frontier/research-feeds/intern-s1-technical-report-arxiv-2508-15763/index.md) by [Lei Bai et al. (Shanghai AI Laboratory)](https://www.shlab.org.cn/) arXiv PDF (2025) of the Intern-S1 technical report, Shanghai AI Laboratory's scientific multimodal model. Advanced learning_resource paper China en - ### [Learning to Simulate Complex Physics with Graph Networks (GNS)](/frontier/research-feeds/learning-to-simulate-complex-physics-with-graph-networks-gns/index.md) by [Alvaro Sanchez-Gonzalez et al. (Google)](https://ai.google/) arXiv paper (2020) introducing Graph Network-based Simulators (GNS) for learning complex particle physics. Advanced–Expert learning_resource paper West en - ### [MeshGraphNets](/frontier/research-feeds/meshgraphnets/index.md) by [Tobias Pfaff et al. (Google)](https://ai.google/) arXiv paper (2020) introducing MeshGraphNets for learning mesh-based physical simulation. Advanced–Expert learning_resource paper West en - ### [MoveIt](/frontier/research-feeds/moveit/index.md) by [PickNik Robotics (MoveIt)](https://picknik.ai/) MoveIt 2 documentation: ROS 2 framework for robot motion planning, manipulation and perception, with tutorials. Advanced learning_resource docs Global en - ### [Neural Operator: Learning maps between function spaces](/frontier/research-feeds/neural-operator-learning-maps-between-function-spaces/index.md) by [Nikola Kovachki et al. (Caltech)](https://www.caltech.edu/) arXiv paper (2021) "Neural Operator: Learning Maps Between Function Spaces", the general framework covering Fourier and graph neural operators for PDEs. Advanced–Expert learning_resource paper West en - ### [NVIDIA cuOpt](/frontier/research-feeds/nvidia-cuopt/index.md) by [NVIDIA](https://www.nvidia.com/) NVIDIA cuOpt user guide: GPU-accelerated solver for routing and other optimisation problems. Advanced learning_resource docs US/global en - ### [Physics-informed deep learning (Raissi et al.)](/frontier/research-feeds/physics-informed-deep-learning-raissi-et-al/index.md) by [Maziar Raissi et al. (Brown University)](https://www.brown.edu) arXiv paper (2017) introducing physics-informed neural networks (PINNs) for data-driven solutions of nonlinear PDEs. Advanced–Expert learning_resource paper West en - ### [PX4 computer-vision and ROS integration](/frontier/research-feeds/px4-computer-vision-and-ros-integration/index.md) by [PX4 Autopilot (Dronecode Foundation)](https://px4.io/) PX4 Autopilot user guide: open-source drone flight control software with simulation, ROS and computer-vision integration. Advanced learning_resource docs Global en - ### [robomimic](/frontier/research-feeds/robomimic/index.md) by [robomimic](https://github.com/robomimic) robomimic site: framework and demonstration datasets for robot learning from demonstration. Advanced learning_resource docs US/global en - ### [SUMO](/frontier/research-feeds/sumo/index.md) by [German Aerospace Center (DLR)](https://www.dlr.de/) SUMO documentation: open-source microscopic traffic simulator from DLR, used in traffic-control research. Advanced learning_resource docs Germany/global en [Previous page](/science-medicine/physics-simulation/index.md) [Next page](/science-medicine/physics-simulation/page/3/index.md) [Plain-text Markdown copy](/science-medicine/physics-simulation/page/2/index.md)