Lordprotector

Nemo

[Thuerey Group at TUM @thuereyGroup]

I'm excited to share our latest work: AeroTransformer — a step toward bringing the foundation model paradigm to real-world aerodynamic design.
Code & models: https://t.co/mZ0SaIhD7W Paper: https://t.co/97Gt64q2m8

[Math Cafe @Riazi_Cafe_en]

Mathematician Frank Merle won a $3M Breakthrough Prize for his work on nonlinear equations.

By studying how solutions "blow up," he's decoding the physics of fluid dynamics and lasers.

[berke @berkett09]

itü'deki fizik hocaları: fizikçilerin teorik matematik derslerine ihtiyacı yok
o sırada Heidelberg'de açılan ortalama bir fizik dersi:

[Mike @mike_mates]

Esta semana viene el primer vídeo para poder entender Navier-Stokes

[Martin @martinmrmar]

Feynman's Lectures on Physics , all for free 😎💪💯 wow! 😳

[Valeriy M., PhD, MBA, CQF @predict_addict]

Prof. Alexander Umnov from MIPT has some excellent English-language materials on mathematics.

His son, Egor Umnov, now also teaches in the MIPT math department — clearly, the talent for math runs in the family.

#math

[Chennakesava Kadapa @chenna1985]

Do any of the genius AI prompt engineers have the prompts for Claude or ChatGPT for writing an FEM solver in C++ for multiphase flows using the phase field approach?

[Lin Fu @linf1017]

Our first TENO paper published in JCP, i.e., [A family of high-order targeted ENO schemes for compressible-fluid simulations, Volume 305, 15 January 2016, Pages 333-359], is now listed by Web of Science as Highly Cited Papers !

[The Math Flow @TheMathFlow]

The total lift force (L) generated by a complete, finite three-dimensional wing:
L = Total lift force
ρ = Air density
V = Freestream velocity
S = Planform area
CL = Lift Coefficient

[Max Zhdanov @maxxxzdn]

✨Excited to share that our work “MSPT: Multi-Scale Patch Transformer for Efficient Large-Scale Physical Modeling” was selected as a #CVPR2026 Highlight!

📰 Paper: https://t.co/w6kNvncQM6
🤗 Project page: https://t.co/brIdh55bpt
💻 Code: https://t.co/dWTBNGY9jg

🏆State-of-the-art performance on PDE benchmarks (elasticity, fluids, porous flow) and large-scale CFD tasks like ShapeNet-Car.

---

Scaling neural PDE solvers to millions of spatial elements requires capturing two things at once:
1⃣ fine-grained local interactions: stress concentrations, small-scale turbulence, sharp gradients;
2⃣ long-range global dependencies: pressure coupling in fluids, far-field boundary conditions in aerodynamics;

Current methods tend to trade one for the other: local attention preserves detail but misses global structure, while global aggregation (e.g., fixed-size slices) captures the big picture but oversmooths fine scales.

MSPT uses Parallelized Multi-Scale Attention (PMSA) to capture local and global interactions within a single, efficient attention call.

Key highlights:
📈Near-linear scaling to millions of points on a single GPU
🔎Unified local-global modeling: fine-grained interactions within patches + global context through shared supernodes.
🚀 Fast and expressive: pushes the Pareto frontier on PDE modelling.
🌳Flexible across geometries: supports arbitrary meshes and point clouds via ball-tree partitioning.

Congrats to @pmpcurvo who pulled it off, co-supervised with @jwvdm.

[西川裕章（方手雅塚） @ossanworld]

これがそのワークショップです → Supercomputers and Fluid Dynamics, The First Nobeyama Workshop, September 3-6, 1985. https://t.co/BRML5reXCA

[灰狐 @huihoo]

Mathematics, Physics, Computer Science, Course Video Summary Resources

The three most complete scientific resources collected and sorted out here may be the most complete on the whole network

Stanford, Yale, MIT, Berkeley, California... Dozens of prestigious schools
A summary of mathematics, physics, and science courses
Hundreds of courses and thousands of video lectures in total
Each course has 10-dozens of videos (massive)

You can learn:
Mathematical physics, classical mechanics
quantum mechanics, Special Relativity and Electrodynamics
General Relativity, Cosmology, Statistical Mechanics
Advanced Quantum Mechanics, Higgs Boson
Quantum Entanglement, Relativity
Particle Physics 1: Basic Concepts 2: Standard Model
Particle Physics 3: Supersymmetry and Grand Unification,
String theory, Cosmology and Black Holes
Calculus, linear algebra, probability and statistics...
https://t.co/dT2nLIAAC5

Another more popular and more massive aggregation resource: computer science
It is also a course from a major famous school, and it is also recommended to you,
in this way Mathematics, physics, computer science, all together
https://t.co/K51DKgnXzM

Anyway, if you can't finish reading and learning, then collect it first

[Hiroshi Wayama @mushoku_swe]

行列分解において、密行列と疎行列では適用されるアルゴリズムが異なることを認識することは重要だと思っている。密行列ではLU分解やQR分解、特異値分解（SVD）などの直接法が一般的に用いられる。一方、疎行列では非ゼロ要素の少なさを活かし、記憶効率と計算効率を重視した反復法（共役勾配法など）や疎行列向けの直接法が使われる。実務では問題の規模や疎性に応じた手法選択が重要だと感じる。

[Lim Yen Kheng @LimYenKheng]

New course I'm teaching this semester

[部品（石原さとみ） @tjmlab]

Stochastic Thermodynamics for Autoregressive Generative Models: A Non-Markovian Perspective
https://t.co/FBhg8TSYcE
Transformerを含む自己回帰生成モデルの確率的熱力学！！
Sagawa御大の単著だ！！

[Physics In History @PhysInHistory]

Today marks the birth anniversary of Henri Poincaré (1854–1912), a pioneering French mathematician, physicist, and philosopher of science.

Renowned as "The Last Universalist", Poincaré made foundational contributions to celestial mechanics, topology, chaos theory, and the early development of special relativity. His work laid the groundwork for modern mathematical physics and influenced generations of scientists and thinkers.

[Ash Jogalekar @curiouswavefn]

Fermi schedule: 7.5 hours of work, 8 hours of sleep, 2-3 hours of recreation. And a hell of a lot of Nobel-winning research done.

Wake up precisely at 5:30 AM and work privately until 8 AM. Get to work by 8:30 AM.

Leave work at 1 PM, come home for lunch, take a nap, wake up and play tennis or another sport until 4 PM.

Go back to work and come home around 7 PM. Sleep at precisely 9:30 PM (Laura Fermi recounted in her memoir how Enrico would force himself to stay up until then, rubbing his eyes and yawning).

[たこてん @takoten_10]

なんか届いた

[Jeremy KD8TUO 🇺🇸⏦⎓⎎⎍⏚ @ElectronicsbyJH]

Gotta love it when the textbook (An Introduction to RF Stealth (2nd Edition) by David Lynch jr. (2021)) points out issues like this 🤣