The new framework replaces approximations, accurately modeling current crowding and spreading resistance in 2D materials to improve high-performance semiconductor devices.

The Department of Engineering Sciences and Applied Mathematics (ESAM) at Northwestern University is highly interdisciplinary and focused on applications. Our faculty and students connect with ...

The Department of Engineering Sciences and Applied Mathematics (ESAM) at Northwestern University is highly interdisciplinary and focused on applications. Our faculty and students connect with ...

The mathematical modelling of microelectromechanical systems (MEMS) integrates sophisticated analytical and numerical methods to describe and predict the behaviour of miniature devices that combine ...

The whole picture of Mathematical Modeling is systematically and thoroughly explained in this text for undergraduate and graduate students of mathematics, engineering, economics, finance, biology, ...

Abstract: Quantitative Systems Pharmacology (QSP) is a scientific field that combines pharmacology, engineering, molecular biology, and computer science to create computational representations of ...

Taken concurrently with EGR/MAT/PHY 191. An integrated course that covers the material of PHY 103 and MAT 201 with the emphasis on applications to engineering. Math topics include: vector calculus; ...

The School of Mathematics and Statistics is recognized for its contributions to research and applications of mathematical and statistical science, and it’s also known for expertise in mathematical and ...

The GSMM Camp is a weeklong workshop that builds interdisciplinary problem-solving skills for graduate and advanced undergraduate students. Participants work in teams on mathematically rich problems ...

A mathematical model is an abstract model that uses mathematical language to describe the behaviour of a system. Mathematical models are used particularly in the natural sciences and engineering ...

Medicine makers need to get better at math. Improved mathematical modeling would accelerate the move toward automated processes, cut production times, and reduce costs. Researchers Francesco Destro, ...