A context-conditioned molecule transfer model based on InternS1-Mini, designed for drug-induced liver injury (DILI) related molecular transformation tasks in chemical reaction prediction and drug discovery.
See LICENSE filemolecule transferdrug discoverychemical reaction prediction
A deep learning-based context-conditioned molecule transfer model designed for carcinogen-related molecular structure migration and generation in cheminformatics.
See LICENSE filemolecule transferchemistry discoverymolecular generation
Presents a general theory for rolling arbitrary 2D crystals into nanotubes, implemented as open-source NTBuilder with desktop and web interfaces, including a catalog of 20 million nanotube structures.
See LICENSE filenanotube2D crystalmaterials discovery
Warp-Geo provides a GPU-accelerated differentiable framework for reconstructing signed distance fields and evaluating surface normals from complex 3D point clouds, enabling gradient-based shape optimization.
See LICENSE fileDifferentiable GeometrySigned Distance FieldShape Optimization
NVIDIA Earth-2 leverages AI atmospheric models integrated with observation data to provide high-resolution weather forecasts and decision support for weather-sensitive industries.
See LICENSE fileweather forecastingatmospheric modelingAI meteorology
Unitree releases UnifoLM-WLA-1.0, a 6B parameter general-purpose embodied AI model trained with ~2500 hours of real-machine data, achieving 7 open-source SOTA results in embodied reasoning.
See LICENSE fileembodied AIhumanoid robotfoundation model
A heat conduction equation solver based on Physics-Informed Neural Networks, using neural networks embedded with heat conduction physics to predict temperature fields.
See LICENSE filePhysics-Informed Neural NetworksHeat EquationHeat Conduction
A 36M-parameter neural network solver for partial differential equations based on U-Net architecture, enabling data-driven solving and prediction of PDE systems
A HuggingFace-hosted model repository for bubble dynamics using Physics-Informed Neural Networks (PINN), with the model name indicating focus on PINN-based bubble dynamics applications.
A HuggingFace repository hosting a Physics-Informed Neural Network model for hydrostatic fluid mechanics computations, applying physics-based constraints to deep learning approaches.
A HuggingFace repository hosting a physics-informed neural network model for computational fluid dynamics, implementing physics constraints embedded within neural network architectures.
See LICENSE filePINNCFDphysics-informed neural network