Publications

Jan 28, 2025

Scalable higher-order nonlinear solvers via higher-order automatic differentiation

Dec 18, 2024

A Fully Adaptive Radau Method for the Efficient Solution of Stiff Ordinary Differential Equations at Low Tolerances

Jun 20, 2024

Evaluating RAG-Fusion with RAGElo: an Automated Elo-based Framework

Jun 14, 2024

Differentiable Programming for Differential Equations: A Review

May 28, 2024

SBMLToolkit.jl: a Julia package for importing SBML into the SciML ecosystem

Mar 8, 2024

Uncertainty quantified discovery of chemical reaction systems via Bayesian scientific machine learning

Feb 1, 2024

Automated translation and accelerated solving of differential equations on multiple GPU platforms

Jan 31, 2024

RAG-Fusion: a New Take on Retrieval-Augmented Generation

Dec 1, 2023

Hydrogen for harvesting the potential of offshore wind: A North Sea case study

Avinash Subramanian

Oct 1, 2023

Catalyst: Fast and Flexible Modeling of Reaction Networks

Dr. Chris Rackauckas

Jul 1, 2023

A Differentiable, Physics-Informed Ecosystem Modeling and Learning Framework for Large-Scale Inverse Problems: Demonstration with Photosynthesis Simulations

Dr. Chris Rackauckas

Jul 1, 2023

Forecasting Virus Outbreaks with Social Media Data Via Neural Ordinary Differential Equations

Dr. Chris Rackauckas

Jun 1, 2023

Mapping Out Phase Diagrams with Generative Classifiers

Dr. Alan Edelman

Jun 1, 2023

Extending JumpProcess.jl for Fast Point Process Simulation with Time-Varying Intensities

Dr. Chris Rackauckas

Jun 1, 2023

Differentiating Metropolis-Hastings to Optimize Intractable Densities

Dr. Chris Rackauckas

Apr 1, 2023

Modular Algorithms for Scientific Computing in Julia

Dr. Chris Rackauckas

Apr 1, 2023

Neural Jump SDEs (Jump Diffusions) and Neural PDEs

Dr. Chris Rackauckas

Apr 1, 2023

Finalizing Your Julia Package: Documentation, Testing, Coverage, and Publishing

Dr. Chris Rackauckas

Apr 1, 2023

How Inexact Models Can Guide Decision Making in Quantitative Systems Pharmacology

Dr. Chris Rackauckas

Apr 1, 2023

7 Julia Gotchas and How to Handle Them

Dr. Chris Rackauckas

Apr 1, 2023

Type-Dispatch Design: Post Object-Oriented Programming for Julia

Dr. Chris Rackauckas

Jan 28, 2025

Scalable higher-order nonlinear solvers via higher-order automatic differentiation

Dec 18, 2024

A Fully Adaptive Radau Method for the Efficient Solution of Stiff Ordinary Differential Equations at Low Tolerances

Jun 20, 2024

Evaluating RAG-Fusion with RAGElo: an Automated Elo-based Framework

Jun 14, 2024

Differentiable Programming for Differential Equations: A Review

May 28, 2024

SBMLToolkit.jl: a Julia package for importing SBML into the SciML ecosystem

Mar 8, 2024

Uncertainty quantified discovery of chemical reaction systems via Bayesian scientific machine learning

Feb 1, 2024

Automated translation and accelerated solving of differential equations on multiple GPU platforms

Jan 31, 2024

RAG-Fusion: a New Take on Retrieval-Augmented Generation

Dec 1, 2023

Hydrogen for harvesting the potential of offshore wind: A North Sea case study

Oct 1, 2023

Catalyst: Fast and Flexible Modeling of Reaction Networks

Jul 1, 2023

A Differentiable, Physics-Informed Ecosystem Modeling and Learning Framework for Large-Scale Inverse Problems: Demonstration with Photosynthesis Simulations

Jul 1, 2023

Forecasting Virus Outbreaks with Social Media Data Via Neural Ordinary Differential Equations

Jun 1, 2023

Mapping Out Phase Diagrams with Generative Classifiers

Jun 1, 2023

Extending JumpProcess.jl for Fast Point Process Simulation with Time-Varying Intensities

Jun 1, 2023

Differentiating Metropolis-Hastings to Optimize Intractable Densities

Apr 1, 2023

Modular Algorithms for Scientific Computing in Julia

Apr 1, 2023

Neural Jump SDEs (Jump Diffusions) and Neural PDEs

Apr 1, 2023

Finalizing Your Julia Package: Documentation, Testing, Coverage, and Publishing

Apr 1, 2023

How Inexact Models Can Guide Decision Making in Quantitative Systems Pharmacology

Apr 1, 2023

7 Julia Gotchas and How to Handle Them

Jan 28, 2025

Scalable higher-order nonlinear solvers via higher-order automatic differentiation

Dec 18, 2024

A Fully Adaptive Radau Method for the Efficient Solution of Stiff Ordinary Differential Equations at Low Tolerances

Jun 20, 2024

Evaluating RAG-Fusion with RAGElo: an Automated Elo-based Framework

Jun 14, 2024

Differentiable Programming for Differential Equations: A Review

May 28, 2024

SBMLToolkit.jl: a Julia package for importing SBML into the SciML ecosystem

Mar 8, 2024

Uncertainty quantified discovery of chemical reaction systems via Bayesian scientific machine learning

Feb 1, 2024

Automated translation and accelerated solving of differential equations on multiple GPU platforms

Jan 31, 2024

RAG-Fusion: a New Take on Retrieval-Augmented Generation

Dec 1, 2023

Hydrogen for harvesting the potential of offshore wind: A North Sea case study

Oct 1, 2023

Catalyst: Fast and Flexible Modeling of Reaction Networks

Jul 1, 2023

A Differentiable, Physics-Informed Ecosystem Modeling and Learning Framework for Large-Scale Inverse Problems: Demonstration with Photosynthesis Simulations

Jul 1, 2023

Forecasting Virus Outbreaks with Social Media Data Via Neural Ordinary Differential Equations

Jun 1, 2023

Mapping Out Phase Diagrams with Generative Classifiers

Jun 1, 2023

Extending JumpProcess.jl for Fast Point Process Simulation with Time-Varying Intensities

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