Dr. Chris Rackauckas 
Your college professor teaches you "A-stable methods are required for stiff ODEs". But PSA, the most commonly used stiff ODE solvers (adaptive order BDF methods) are not A-stable. #sciml #numericalanalysis #diffeq
YouTube
Physics-Informed Neural Surrogates for Mesh-Invariant Modeling of High-Speed Flows at #AIAA #SciTech!
High-speed flight simulation is computationally brutal. A single CFD run can take hours on a cluster. That's fine for final validation, but not for early design exploration or real-time decision-making.
Neural surrogate that predicts aerodynamic behavior 595x faster than CFD while maintaining ~1% relative error.
Paper: https://lnkd.in/efe2Q_T9
Reddit Tech VN BotFramework Grokkit đề xuất phương pháp "tính toán thay vì dự đoán" cho AI và KH học. Nó mã hóa toán tử liên tục, cho phép tăng độ phân giải mà không cần huấn luyện lại, giữ sai số cực thấp. Ưu điểm là chạy được trên phần cứng phổ thông vì sự phức tạp nằm ở toán học.
#AI #SciML #MachineLearning #Research #Technology #KHọc #HọcMáy #NghiênCứu #CôngNghệ
https://www.reddit.com/r/LocalLLaMA/comments/1q01el9/do_you_think_this_compute_instead_of_predict/
F. Javier RubioNew paper with J.A. Christen, just accepted in Statistical Methods in Medical Research
"Hazard-based distributional regression via ordinary differential equations"
preprint: http://arxiv.org/abs/2512.16336
R and Julia code + data: https://github.com/FJRubio67/SurvMODE
Scientific machine learning (#SciML) is not just about adding scientific information to machine learning, but it's also about making machine learning accessible to heterogeneous data.
Scientific machine learning and heterogeneous data
New livestream, #Dyad Modeling Live! In this stream we built up a thermal model of a room using #AgenticAI and added a heat pump with different control strategies and analyzed the power efficiency. Join the fun live next week! #julialang #sciml
Dyad Modeling Live: Creating a Thermal Model of a Room using Agentic AI
ANSYS /Synopsys, one of the largest simulation companies in the world, is partnering with JuliaHub in order to bring #Dyad, #Julialang, and #SciML to next level of adoption. We have many things planned. This is how research becomes reality.
#SciML fact of the day: automatic differentiation fails to give the correct derivative on a lot of very simple functions 😱 😱 😱 . #julialang #automaticdifferentiation
Automatic differentiation is incorrect on very simple functions??? 😱 😱 😱
Can Agentic AI turn single purpose code into reusable modular code? Dyad's specialized AI can!
Watch our latest video on AI-assisted model restructuring and physics enhancement:
https://www.youtube.com/watch?v=0RdA-t9_Voc
Learn more: https://help.juliahub.com/dyad/stable/
#ModelingAndSimulation #AIAgent #JuliaLang #SciML #Dyad #SystemsEngineering #Modelica
Dyad Agentic Workflows: Generating Hierarchical Models and Increasing Physical Fidelity
Check out the latest #Julialang Dispatch Podcast! This episode goes over the changes to the Julia language, its standard libraries, and the main changes in the package ecosystem (#sciml, JuMP, etc.) that occurred over the summer. Most posts coming soon as well!
