Dec2Bisain et al. release "A New Upper Bound For the Growth Factor in Gaussian Elimination with Complete Pivoting" in arXiv
Dec1Chris Rackauckas presents "NonlinearSolve.jl: Efficient rootfinding and solving of algebraic equations in Julia" at JuliaCon Local Eindhoven
Dec1Santana et al. publish "Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A sy..." in Chemical Engineering Science
Dec1Pestourie et al. publish "Physics-enhanced deep surrogates for partial differential equations" in Nature Machine Intelligence
Nov13Chris Rackauckas presents at the JuliaHEP 2023 Workshop in Erlangen on Automatic Differentiation, SciML, and maintaining large-scale Julia ecosystems
Nov1Santana et al. release "Advancing Odor Classification Models Enhanced by Scientific Machine Learning and Mechanistic Model: Probabilisti..." in ChemRxiv
Oct20Chris Rackauckas keynotes the LLNL Data-Driven Physical Simulations (DDPS) Seminar Series on "Generalizing Scientific Machine Learning and Differentiable Simulation Beyond Continuous Models"
Oct1Loman et al. publish "Catalyst: Fast and flexible modeling of reaction networks" in PLOS Computational Biology
Sep13Silvestri et al. release "Oceananigans.jl: A Julia library that achieves breakthrough resolution, memory and energy efficiency in global o..." in arXiv
Sep1Holtorf et al. publish "Sum-of-Squares Bounds for Quantum Optimal Control" in 2023 IEEE International Conference on Quantum Computing and Engineering (QCE)
Aug29Chris Rackauckas presents "Improved Parallelism and Memory Performance Differentiating Stiff Differential Equations" at ICIAM 2023
Aug1Shen et al. publish "Differentiable modelling to unify machine learning and physical models for geosciences" in Nature Reviews Earth \& Environment
Jul28Emmanuel Lujan presents "Automating the composition of ML interatomic potentials in Julia" at JuliaCon 2023, Massachusetts Institute of Technology, Cambridge, MA
Jul27Chris Rackauckas keynotes ASE60 (Synergistic Interactions Between Theory and Computation) at MIT on translating theory to differential-equation software
Jul24Chris Rackauckas keynotes JuliaCon 2023 with "Scientific Machine Learning through Symbolic Numerics"
Jul1Núñez et al. publish "Forecasting virus outbreaks with social media data via neural ordinary differential equations" in Scientific Reports
Jul1Aboelyazeed et al. publish "A differentiable, physics-informed ecosystem modeling and learning framework for large-scale inverse problems: d..." in Biogeosciences
Jul1Zagatti et al. release "Extending JumpProcess.jl for fast point process simulation with time-varying intensities"
Jul1Pal et al. publish "Locally Regularized Neural Differential Equations: Some Black Boxes were meant to remain closed!"
Jun1Arya et al. release "Differentiating Metropolis-Hastings to Optimize Intractable Densities" in arXiv
Jun1Edelman and Jeong publish "Fifty Three Matrix Factorizations: A Systematic Approach" in SIAM Journal on Matrix Analysis and Applications
May5Chris Rackauckas presents "Extending Scientific Machine Learning to Agent-Based Models" at the ICLR 2023 AI4ABM Workshop
Mar1Tarek et al. release "A Practitioner's Guide to Bayesian Inference in Pharmacometrics using Pumas" in arXiv
Jan1Edelman and Jeong publish "On the structure of the solutions to the matrix equation G⋆JG = J" in Linear Algebra and its Applications