Abstract: With the development of intelligent transportation systems, traffic flow prediction on complex traffic networks has become increasingly important, particularly in urban management and ...

Abstract: In this work, we propose a complex-valued neural operator (CV-NeuralOp) based on graph neural networks (GNN) to solve 2D wave equation. Inspired by the Green’s function method for solving ...

Electrostatic interactions are fundamental to the structure, dynamics, and function of biomolecules, with broad applications in protein–ligand binding, enzymatic catalysis, and nucleic acid regulation ...

A canonical problem in computer science is to find the shortest route to every point in a network. A new approach beats the ...

Alexander Grothendieck was a titan in his field, making deep connections that fuelled a revolution in mathematics, before ...

Strong spatial skills are critical for everyday tasks and across many careers—they also strengthen students’ math performance ...

Learn what residual standard deviation is, how to calculate it in regression analysis, and why it's crucial for measuring predictability and goodness-of-fit in data modeling.

Initially, the mathematician would consider various factors and attempt to simplify the situation. Time becomes a crucial element, with a certain duration allocated for decision-making. A ...

This material is based upon work supported by the National Science Foundation under Grant Nos. 0634957 and 0915487. Any opinions, findings, and conclusions or recommendations expressed in this ...

LMNT reports sodium is essential for bodily functions, but blanket low-sodium guidelines may not suit everyone. Individual needs vary.

Turning dazzling AI capabilities into durable software applications poses flashy new challenges, but the keys to overcoming ...