Deep learning reveals nanoparticle shape from routine tracking analysis without new hardware

Researchers at the University of Tokyo and the Innovation Center of NanoMedicine (iCONM) have developed an artificial ...

DUNLOP and Fujitsu Reduce Tire Structural Analysis Time by Approximately 90% Using AI

Based on the results of this proof of concept, both companies will proceed with the development of a design support tool for ...
IEEE

Efficient Analysis of Electromagnetic Scattering From Composite Finite Periodic Structures by Prior Physics-Driven Graph Neural Network

Abstract: In this letter, a novel prior physics-driven graph neural network (PPDGNN) is proposed firstly to rapidly compute the far-field scattering in the composite large-scale finite periodic ...
IEEE

Graph Neural Network-based Surrogate Models for Finite Element Analysis

Abstract: Current simulation of metal forging processes use advanced finite element methods. Such methods consist of solving mathematical equations, which takes a significant amount of time for the ...
Quanta Magazine

New Proof Settles Decades-Old Bet About Connected Networks

According to mathematical legend, Peter Sarnak and Noga Alon made a bet about optimal graphs in the late 1980s. They’ve now both been proved wrong. It started with a bet. In the late 1980s, at a ...
Scientific Research Publishing

Qian, G. (2025) Finite Groups with Non-Complete Character Codegree Graphs. Journal of Algebra, 669, 75-94.

ABSTRACT: Let G be a finite group and let T( G ) be the sum of codegrees of complex irreducible characters of a group G . Say f( G )= T( G ) | G | . We prove that a finite group G such that for all ...