--- id: "/science-medicine/advanced/page/6/" title: "Science & medicine for advanced learners · page 6" url: "https://skillissue.dev/science-medicine/advanced/page/6/" --- # Science & medicine for advanced learners [Beginner](/science-medicine/beginner/index.md) [Intermediate](/science-medicine/intermediate/index.md) [Advanced](/science-medicine/advanced/index.md) [Expert](/science-medicine/expert/index.md) 189 resources · page 6 of 6 - ### [GraphCast paper](/frontier/research-feeds/graphcast-paper/index.md) by [Remi Lam et al. (Google DeepMind)](https://deepmind.google/) arXiv paper (2022) introducing GraphCast, a graph neural network for medium-range global weather forecasting. Advanced–Expert learning_resource paper West en - ### [Grid2Op](/frontier/research-feeds/grid2op/index.md) by [RTE France (Grid2Op)](https://github.com/rte-france/Grid2Op) Grid2Op documentation: Python framework for developing and testing control agents on simulated power grids. Advanced learning_resource docs France/global 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 - ### [KAN: Kolmogorov-Arnold Networks](/frontier/research-feeds/kan-kolmogorov-arnold-networks/index.md) by [Ziming Liu et al. (MIT)](https://www.mit.edu/) arXiv paper (2024) introducing Kolmogorov-Arnold Networks (KAN) with learnable activation functions on edges. Advanced–Expert learning_resource paper West en - ### [Kornia](/frontier/research-feeds/kornia/index.md) by [Kornia project](https://kornia.org/) Kornia documentation: PyTorch library of differentiable computer-vision and image-processing operations. Advanced learning_resource docs Global 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 - ### [MatGL](/frontier/research-feeds/matgl/index.md) by [Materials Virtual Lab (UC San Diego)](https://matgl.ai/) MatGL: graph deep learning library for materials property prediction and interatomic potentials. Advanced learning_resource docs US/global en - ### [matminer](/frontier/research-feeds/matminer/index.md) by [Hacking Materials group (Lawrence Berkeley National Laboratory)](https://hackingmaterials.lbl.gov/) matminer documentation: Python library for mining materials data and generating features for ML models. Advanced learning_resource docs US en - ### [MaxProof](/frontier/research-feeds/maxproof/index.md) by [Jiacheng Chen et al. (Chinese University of Hong Kong)](https://www.cuhk.edu.hk/) arXiv paper (2026) introducing MaxProof, generative-verifier RL and test-time scaling for mathematical proofs. Advanced learning_resource paper China en - ### [MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks](/frontier/research-feeds/medhelm-paper-arxiv-2505-23802/index.md) by [Suhana Bedi et al. (Stanford University)](https://www.stanford.edu/) arXiv PDF (2025) of the MedHELM paper on holistic evaluation of LLMs for medical tasks. Advanced learning_resource paper US 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 - ### [NeuralHydrology](/frontier/research-feeds/neuralhydrology/index.md) by [Neural Hydrology](https://neuralhydrology.github.io/) NeuralHydrology site: research blog and library for neural networks in rainfall-runoff and hydrological modelling. Advanced learning_resource docs Europe/US 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 - ### [Orfeo ToolBox Cookbook](/frontier/research-feeds/orfeo-toolbox-cookbook/index.md) by [CNES (Orfeo ToolBox)](https://www.orfeo-toolbox.org/) Orfeo ToolBox Cookbook: CNES open-source remote-sensing library with image classification workflows. Advanced learning_resource docs France en - ### [PaiNN](/frontier/research-feeds/painn/index.md) by [Kristof T. Schütt et al. (Technische Universität Berlin)](https://www.tu.berlin) arXiv HTML version of the PaiNN paper (2021) on equivariant message passing for molecular property prediction. Advanced–Expert learning_resource paper EU-DE en - ### [Accurate medium-range global weather forecasting with 3D neural networks (Pangu-Weather)](/frontier/research-feeds/pangu-weather-bi-et-al-nature-2023-huawei/index.md) by [Kaifeng Bi et al. (Huawei Cloud)](https://www.huaweicloud.com/) Nature paper (2023) on Huawei's Pangu-Weather, medium-range forecasting with 3D neural networks. Advanced learning_resource paper China 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 - ### [Raster Vision](/frontier/research-feeds/raster-vision/index.md) by [Azavea (Raster Vision)](https://rastervision.io/) Raster Vision: open-source library for deep learning on satellite and aerial imagery. Advanced learning_resource docs US/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 - ### [Scanpy documentation](/frontier/research-feeds/scanpy/index.md) by [scverse (Scanpy)](https://scverse.org/) Scanpy documentation: Python toolkit for analysing single-cell gene expression data. Advanced learning_resource docs Germany/global en - ### [SchNet: A continuous-filter convolutional neural network for modeling quantum interactions](/frontier/research-feeds/schnet/index.md) by [Kristof T. Schütt et al. (Technische Universität Berlin)](https://www.tu.berlin) arXiv paper (2017) introducing SchNet, a continuous-filter convolutional network for modelling quantum interactions in molecules. Advanced–Expert learning_resource paper West en - ### [SchNet: a deep learning architecture for molecules and materials](/frontier/research-feeds/schnet-2/index.md) by [Kristof T. Schütt et al. (Technische Universität Berlin)](https://www.tu.berlin) arXiv paper (2017) "SchNet - a deep learning architecture for molecules and materials", using continuous-filter convolutions to predict molecular energies and forces. Advanced–Expert learning_resource paper Global (TU Berlin/Max Planck; 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 - ### [Tokamak plasma control with deep RL](/frontier/research-feeds/tokamak-plasma-control-with-deep-rl/index.md) by [Jonas Degrave et al. (Google DeepMind)](https://deepmind.google/) Nature paper (2022) on magnetic control of tokamak plasmas with deep reinforcement learning. Advanced learning_resource paper West en - ### [TorchDrug](/frontier/research-feeds/torchdrug/index.md) by [TorchDrug team (Mila)](https://torchdrug.ai/) TorchDrug: PyTorch library with datasets, models and tutorials for machine learning in drug discovery. Advanced learning_resource docs China/Canada/global en - ### [TorchGeo documentation](/frontier/research-feeds/torchgeo/index.md) by [TorchGeo project](https://github.com/microsoft/torchgeo) TorchGeo documentation: PyTorch library of geospatial datasets, samplers, transforms and pretrained models. Advanced learning_resource docs US/global en [Previous page](/science-medicine/advanced/page/5/index.md) [Plain-text Markdown copy](/science-medicine/advanced/page/6/index.md)