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Defining Geographical Regions for Geoscience and Climate

High Quality Geophysical Analysis provides a general purpose Bayesian and deterministic inversion framework for various geophysical methods and spatially distributed / timeseries data

Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.

Building and using pyramids for large raster data

Preheat your MCMC

ClimaAtmos.jl is a library for building atmospheric circulation models that is designed from the outset to leverage data assimilation and machine learning tools. We welcome contributions!

Kite and tether models for the simulation of kite power systems

Some statistical, geochemical, and geochronological functions

A nearest neighbor search library with exact and approximate algorithms

Basic functionality for EarthSciML system

Models of gas-phase atmospheric chemistry and related processes

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Empirical interatomic potentials with Julia, AtomsBase and AtomsCalculators

Multi-language library for the calculation of spherical harmonics in Cartesian coordinates

A CPU- and GPU-friendly package for solving ordinary differential equations

Symbolic programming for the next generation of numerical software

Force Models for Astrodynamics Trajectory Modelling

Symbolic expressions, rewriting and simplification

An analysis library for ClimaDiagnostics (and, more generally, NetCDF files)

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.

Award winning software library for nonlinear dynamics and nonlinear timeseries analysis

An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations

EDS spectrum analysis tools within the NeXL toolset

Pseudo-transient accelerated iterative solvers

High Level API Finite Element Methods based on ExtendableGrids and ExtendableFEMBase

Utilities for implementing AtomsCalculators

Quantum dynamics simulation environment

Bayesian inference with probabilistic programming.

High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)

Define material parameters, perform non-dimensionalization and provide computational routines for material parameters in geodynamic simulations

Groebner bases in (almost) pure Julia

Koma is a Pulseq-compatible framework to efficiently simulate Magnetic Resonance Imaging (MRI) acquisitions. The main focus of this package is to simulate general scenarios that could arise in pulse sequence development.

Koma is a Pulseq-compatible framework to efficiently simulate Magnetic Resonance Imaging (MRI) acquisitions. The main focus of this package is to simulate general scenarios that could arise in pulse sequence development.

A full stack simulator of quantum hardware, from the low-level analog physics to high-level network dynamics. Includes discrete event simulator, symbolic representation for quantum object, and works with many backend simulators.

EHT Image domain analysis through template matching.

Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods

Controllers for airborne wind energy systems

Solve non-linear HJB equations.