Stability via Generalized Concavity in Stratified Boundary Layers
Under the generalized concavity condition (ρs Us′)′ <0, inhomogeneous Navier-Stokes boundary layers admit Tollmien-Schlichting instabilities yet...

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Under the generalized concavity condition (ρs Us′)′ <0, inhomogeneous Navier-Stokes boundary layers admit Tollmien-Schlichting instabilities yet...
At the NITMB workshop on Extreme Events in Biological Function, three distinct mathematical frameworks addressed how systems exploit rare events.
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Seephys Pro challenges AI systems to integrate visual perception, mathematical derivations, and faithful explanations when solving physics problems...
Mathematicians show that Friedmann spacetimes are unstable solutions of the Einstein-Euler equations, implying cosmic acceleration emerges naturally...
Researchers successfully evaluated the Jones polynomial—a key knot invariant—on Quantinuum’s H2-2 processor using error mitigation, marking a concrete...
A new pipeline using approximate Bayesian computation shows PDE models often selected over true generative ABMs for spatial wound healing data via...
Indian-origin computer scientist Gautam Kamath receives the 2026 Gödel Prize for developing robust estimators that enable accurate analysis of...
In April 2026, Przemek Chojecki ran a focused LLM marathon, claiming over 16 solutions to open Erdős problems using GPT-5.5, 5.4, and 5.2.
His...
MSGSNet introduces multi-scale De Bruijn graphs to capture topological dependencies among DNA k-mers, moving beyond linear sequence modeling.
Barbell codes from IQM achieve up to three orders of magnitude lower logical error rates than surface codes while requiring up to eight times fewer...
Efficient algorithms to measure and compare discrete surfaces remain a core challenge across biology and data science.
Peter Sarnak's Weierstrass Lecture examines the distribution of zeros of L-functions, showcasing how his abstract number theory yields practical...
An AI-derived disproof of the 80-year-old Erdős unit distance conjecture would signal a breakthrough in machine reasoning, but the unreleased model and single-source reporting mean the claim must be treated as high-impact yet provisional.
A new textbook manuscript offers a unified mathematical theory that derives modern architectures like neural networks and transformers directly from...
A mean-field game model shows how heterogeneous liquidity providers optimally position assets on Uniswap v3-style exchanges under trade-flow and price...
A new paper derives exact nonlinear wave solutions and interaction dynamics for the integrable Kairat-II-X equation using improved Riccati neural networks.
Victor de Jesus Valadão presents moment-guided diffusion as an interpretable generative model for complex data at the Mathematics of Multiscale Modeling workshop, which emphasizes turbulence, chaos, and stochastic dynamics.