Tools & Frameworks

Climate ML Benchmarking Library

ClimateLearn (UCLA Machine Intelligence Group, 2023) is a Python library that provides standardized access to climate datasets, baseline models, and metrics for large-scale benchmarking of statistical downscaling and temporal forecasting methods. Code is MIT licensed.

Biomolecular Molecular Dynamics

A high-performance molecular dynamics package focused on biomolecules (proteins, lipids, nucleic acids), renowned for extreme parallelism and vectorization — a mainstay of structural biology and drug design.

Differentiable Numerical Computing Framework

Google's open-source NumPy-style numerical computing library built on XLA with autodiff and functional transformations (grad/jit/pmap/vmap) — the substrate behind physics-AI differentiable solvers and neural operators like JAX-CFD and JAX-Fluids.

Molecular Dynamics & Many-Body Simulation

A Sandia-led open-source molecular dynamics and particle simulator supporting multi-scale models from atomic to coarse-grained and continuum, with a large library of force fields — the workhorse for materials, chemistry and biomolecular simulation.

Differentiable GPU Simulation Framework

NVIDIA's open-source Python framework that JIT-compiles plain Python functions into CPU/CUDA kernels with automatic differentiable adjoints, letting gradients flow through entire physics simulations.

Graph Neural Network Framework

A PyTorch-based library for graph neural networks offering rich GNN operators, popular datasets and samplers — the de facto standard for graph representation learning on molecules, crystals and physical systems.

Physics Simulation DSL

A Python-embedded DSL for high-performance computing that turns Python into parallel, auto-differentiable kernels, with built-in MPM/SPH/FEM frontends for physical simulation.

CFD

CompFlowLab is an open-source Python environment for data-driven modeling of compressible flow problems, including shocks, flames, and detonation waves. It combines a one-dimensional compressible Navier-Stokes solver with multispecies transport and chemical-reaction models for lightweight prototyping and evaluation.

ScientificML

This Hugging Face repository hosts the pdeobs-model resource under PDE-OBS, targeting scientific machine-learning workflows based on partial differential equations. The source listing provides no details about the model architecture, training data, benchmarks, or reported performance.

Astrophysics

A domain-specific multi-agent AI framework for astrophysical research that combines literature retrieval, multiwavelength data access and analysis, theoretical modeling, and research ideation within a unified environment, with its current implementation focused on blazar research.

Quantum/Chemistry

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.

ScientificML

A deep learning-based context-conditioned molecule transfer model designed for carcinogen-related molecular structure migration and generation in cheminformatics.

Materials

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.

ScientificML

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.

CFD

NVIDIA Earth-2 leverages AI atmospheric models integrated with observation data to provide high-resolution weather forecasts and decision support for weather-sensitive industries.

Embodied AI / Robot Foundation Model

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.

CFD

A 36M-parameter supervised learning model based on U-Net architecture designed for solving Navier-Stokes fluid dynamics PDEs, hosted on HuggingFace.

PINN

A heat conduction equation solver based on Physics-Informed Neural Networks, using neural networks embedded with heat conduction physics to predict temperature fields.

Inference Optimization

TensorRT Edge-LLM achieves significant inference acceleration on Jetson AGX Thor edge platform, substantially improving AI agent deployment performance at the edge.

ScientificML

A 36M-parameter neural network solver for partial differential equations based on U-Net architecture, enabling data-driven solving and prediction of PDE systems