https://sciml.ai/
SciML: Open Source Software for Scientific Machine Learning, Physics-Informed AI, and...
Open Source Software for Scientific Machine Learning
open source softwarescientific machine learning
https://scalable-sciml-lab.org/
Scalable Scientific Machine Learning Lab
Scalable Scientific Machine Learning Lab
scientific machine learningscalable
https://www.mccormick.northwestern.edu/electrical-computer/academics/courses/descriptions/elec_eng-395495-scientific-machine-learning.html
ELEC_ENG/COMP_ENG 395, 495: Scientific Machine Learning | Electrical and Computer Engineering |...
This course introduces students to Scientific Machine Learning, a modern approach that combines machine learning with physical modeling. The goal is to help...
scientific machine learningelectrical and computer
https://par.nsf.gov/biblio/10321838-performance-characterization-scientific-machine-learning-workflows
A Performance Characterization of Scientific Machine Learning Workflows | NSF Public Access...
This page contains metadata information for the record with PAR ID 10321838
scientific machine learningperformancecharacterization
https://numerik.uni-koeln.de/en/forschung/scientific-machine-learning-sciml
Scientific machine learning (SciML)
scientific machine learningsciml
https://news.utexas.edu/2020/04/16/scientific-machine-learning-paves-way-for-rapid-rocket-engine-design/
Scientific Machine Learning Paves Way for Rapid Rocket Engine Design - UT Austin News - The...
Nov 21, 2025 - News, stories, and opinions on science, technology, health, education, business, policy, campus life, and more from The University of Texas at Austin.
scientific machine learning
https://www.oden.utexas.edu/research/crosscutting-research-areas/scientific-machine-learning/
Scientific Machine Learning - a cross-cutting research area
Oden Institute for Computational Engineering and Sciences
scientific machine learningcross cuttingresearcharea
https://scientific-ml.org/
e-Seminar on Scientific Machine Learning | Biweekly interdisciplinary discussion forum on...
Biweekly interdisciplinary discussion forum on Scientific Machine Learning.
scientific machine learningseminarbiweeklyinterdisciplinarydiscussion
https://www.edx.org/learn/machine-learning/purdue-university-introduction-to-scientific-machine-learning
PurdueX: Introduction to Scientific Machine Learning | edX
Learn the basics of machine learning with hands-on practical examples on engineering applications.
scientific machine learningintroduction toedx
https://numerik.uni-koeln.de/forschung/scientific-machine-learning-sciml
Scientific machine learning (SciML)
scientific machine learningsciml
https://dukespace.lib.duke.edu/items/099d9e01-2245-4d9a-bb6a-c5ed72b69537
On the Construction of Admissible Representations for Scientific Machine Learning and Uncertainty...
scientific machine learningon the
https://www.kth.se/sv/math/kalender/sciml
Seminar, Scientific Machine Learning | KTH
scientific machine learningseminarkth
https://coehpc.engr.tamu.edu/2021/02/01/tamids-scientific-machine-learning-lab/
TAMIDS Scientific Machine Learning Lab
scientific machine learninglab
https://events.unimelb.edu.au/mathematics-and-statistics-seminars/event/49390-automating-construction-of-biochemical-and
Automating Construction of Biochemical and Physical Models with Scientific Machine Learning (SciML)...
Melbourne Mathematical Biology seminar Automating Construction of Biochemical and Physical Models with Scientific Machine Learning (SciML) ...
scientific machine learningphysical models
https://courses.warwick.ac.uk/modules/2023/ES98E-15
ES98E-15 Scientific Machine Learning - Module Catalogue
scientific machine learningmodulecatalogue
https://jyhong.gitlab.io/tag/scientific-machine-learning/
Scientific Machine Learning | Junyuan Hong
Junyuan Hong homepage
scientific machine learninghong
https://www.ias.tum.de/ias/research-areas/advanced-computation-and-modeling/alumni-focus-groups/scientific-machine-learning/
Scientific Machine Learning - Institute for Advanced Study (IAS)
institute for advanced studyscientific machine learningias
https://news.vt.edu/articles/2025/12/science-gel-leads-institute.html
Statistician part of new effort to advance scientific machine learning | Virginia Tech News |...
Yulia R. Gel, a professor in the Department of Statistics, is a key member of the U.S. Department of Energy's LEarning-Accelerated Domain Science Institute,...
scientific machine learning
https://slim.gatech.edu/content/solving-geophysical-inverse-problems-scientific-machine-learning
Solving geophysical inverse problems with scientific machine learning | Seismic Laboratory for...
scientific machine learninginverse problemssolvinggeophysical
https://jobs.inria.fr/public/classic/fr/offres/2026-09926
2026-09926 - PhD Position F/M Multi-Fidelity Scientific Machine Learning with Heterogeneous Inputs
Offre d'emploi Inria
https://www.mlai.uni-heidelberg.de/de?overlay=menu
Scientific Machine Learning - Scientific Machine Learning
scientificmachinelearning
https://aiforgood.itu.int/event/physics-constrained-machine-learning-for-scientific-computing/?topic=162
Physics-constrained machine learning for scientific computing - AI for Good
Jan 31, 2024 - In this talk, we discuss the development of physically-constrained machine learning (ML) models that incorporate techniques from scientific computing for
machine learningscientific computingphysicsconstrainedgood
https://scoop.iwr.uni-heidelberg.de/projects/spp-2331-2/
Machine Learning and Optimal Experimental Design for Thermodynamic Property Modeling | Scientific...
The research group Scientific Computing and Optimization was founded in 2021.
machine learningexperimental designoptimal
https://www.mlai.uni-heidelberg.de/en/machine-learning-talks-on-campus?overlay=menu
Machine Learning Talks on Campus - Scientific Machine Learning
Machine Learning Talks on Campus is an information service about talks, workshops and other events in the local community.
machine learningon campustalksscientific
https://arxiv.org/abs/2504.17192
[2504.17192] Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning
Abstract page for arXiv paper 2504.17192: Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning
code generation
https://toc.csail.mit.edu/node/1811
6.7320J / 18.337J Parallel Computing and Scientific Machine Learning | MIT CSAIL Theory of...