Resources
Over time, this page will bring together open-source scientific and computational tools with expository technical notes that develop key ideas in soft matter, complex fluids, physics-based modeling, and scientific machine learning from first principles. The aim is to connect physical intuition with mathematical rigor and make advanced methods easier for students and researchers to learn, apply, adapt, and build upon.
01
Code & software
Open-source software and computational tools developed by the group. For now, visit Alp Sunol on GitHub.
02
Technical notes
Long-form derivations and tutorials on soft-matter physics, applied math, and scientific computing. This collection is in preparation.
