It's a common sight—ants marching in an orderly line over and around obstacles from their nest to a food source, guided by scent trails left by scouts marking the find. But what happens when those ...

Greek life at Stevens isn’t just about social events and lifelong friendships—it’s also a community that gives back in ...

Science X is a network of high quality websites with most complete and comprehensive daily coverage of the full sweep of science, technology, and medicine news ...

Tulin Kaman, associate professor of mathematics, was part of the organizing committee for a workshop titled Modeling and Simulations in Fluids at the Institute for Computational and Experimental ...

Sack Differential = Toxic Differential Plus. The Los Angeles Chargers, under new head coach Jim Harbaugh, are off to a 6-3 ...

Recent advancements in nanotechnology have led to a surge of interest in nano and micro devices and systems, such as nanotubes, nano/microstructures, and nanofiber fabrication processes. This progress ...

Chongying Dong, distinguished professor of mathematics at UC Santa Cruz, is among 41 mathematical scientists around the world who were recently named to the American Mathematical Society’s class of ...

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential ...

A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations ...

This course provides an introduction to topics involving ordinary differential equations. Emphasis is placed on the development of abstract concepts and applications for first-order and linear ...

In the fields of physics, mathematics, and engineering, partial differential equations (PDEs) are essential for modeling various phenomena, from heat diffusion to particle motion and wave propagation.

Machine Learning ML offers significant potential for accelerating the solution of partial differential equations (PDEs), a critical area in computational physics. The aim is to generate accurate PDE ...