Mathematicians finally understand the behavior of an important class of differential equations that describe everything from ...
Conquer complex mechanics with **“Master This Physics Problem: Final Speed And Angle After Collision.”** In this video, we break down a challenging physics problem step by step, showing you how to ...
Neuromorphic computers may look like regular computers from the outside but the circuitry is entirely different.Sandia National Laboratories The world’s first neuromorphic supercomputer is moving ...
Abstract: Solving partial differential equations (PDEs) is omnipresent in scientific research and engineering and requires expensive numerical iteration for memory and computation. The primary ...
Coherence-modulated gravity: validated τ_coh = 1.4±0.2×10⁻¹² N·m signal via non-minimal coupling ξRΦ². Continuum limit Δτ ≈ 2.6×10⁻¹² N·m. Tabletop feasible with cryogenic torsion balance (~1 hr ...
Partial differential equations (PDEs) are workhorses of science and engineering. They describe a vast range of phenomena, from flow around a ship’s hull, to acoustics in a concert hall, to heat ...
Masaki Kashiwara has won the 2025 Abel prize, sometimes called the Nobel prize of mathematics, for his work on algebraic analysis. Kashiwara, a professor at Kyoto University, Japan, received the award ...
Abstract: In scenarios with limited available data, training the function-to-function neural PDE solver in an unsupervised manner is essential. However, the efficiency and accuracy of existing methods ...
DIMON, a new AI framework, accelerates modeling by solving partial differential equations efficiently, reducing computation times from days to seconds. Tested in heart simulations, it promises ...
Operator learning is a transformative approach in scientific computing. It focuses on developing models that map functions to other functions, an essential aspect of solving partial differential ...
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