--- id: "/science-medicine/page/7/" title: "Science & medicine · page 7" url: "https://skillissue.dev/science-medicine/page/7/" --- # Science & medicine Science & medicine - [biology & protein](/science-medicine/biology-protein/index.md) (30) - [earth, energy & environment](/science-medicine/earth-energy-environment/index.md) (28) - [general](/science-medicine/general/index.md) (4) - [materials & chemistry](/science-medicine/materials-chemistry/index.md) (24) - [mathematics](/science-medicine/mathematics/index.md) (20) - [medicine & health](/science-medicine/medicine-health/index.md) (36) - [physics & simulation](/science-medicine/physics-simulation/index.md) (69) - [weather & climate](/science-medicine/weather-climate/index.md) (24) [Beginner](/science-medicine/beginner/index.md) [Intermediate](/science-medicine/intermediate/index.md) [Advanced](/science-medicine/advanced/index.md) [Expert](/science-medicine/expert/index.md) 235 resources · page 7 of 8 - ### [Autonomous chemical research with large language models (Coscientist)](/frontier/research-feeds/coscientist-boiko-et-al-nature-2023/index.md) by [Daniil A. Boiko et al. (Carnegie Mellon University)](https://www.cmu.edu/) Nature paper (2023) on Coscientist, autonomous chemical research with large language models. Advanced learning_resource paper US 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 - ### [FuXi Weather](/frontier/research-feeds/fuxi-weather-data-to-forecast-arxiv-2408-05472/index.md) by [Xiuyu Sun et al. (Fudan University)](https://www.fudan.edu.cn/) arXiv PDF (2024) of FuXi Weather, an end-to-end ML system forecasting directly from raw observations. Advanced learning_resource paper China (Fudan/Shanghai Academy of AI for Science) en - ### [GenCast paper](/frontier/research-feeds/gencast-paper/index.md) by [Ilan Price et al. (Google DeepMind)](https://deepmind.google/) arXiv paper (2023) introducing GenCast, a diffusion-based ensemble model for medium-range weather forecasting. Advanced–Expert learning_resource paper West en - ### [Global Fishing Watch research](/frontier/research-feeds/global-fishing-watch-research/index.md) by [Global Fishing Watch](https://globalfishingwatch.org/) Global Fishing Watch research page: studies using machine learning and satellite data on ocean activity. Advanced learning_resource paper Global en - ### [Scaling deep learning for materials discovery (GNoME)](/frontier/research-feeds/gnome-scaling-deep-learning-for-materials-discovery-nature-2023/index.md) by [Amil Merchant et al. (Google)](https://ai.google/) Nature paper (2023) on GNoME, scaling deep learning to discover new stable materials. Advanced learning_resource paper US/UK en - ### [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 [Previous page](/science-medicine/page/6/index.md) [Next page](/science-medicine/page/8/index.md) [Plain-text Markdown copy](/science-medicine/page/7/index.md)