When engineers at Sumitomo Riko needed to speed up the design cycle for automotive rubber and polymer components, they turned ...

Researchers present a comprehensive review of frontier AI applications in computational structural analysis from 2020 to 2025, focusing on graph neural networks (GNNs), sequence-to-sequence (Seq2Seq) ...

Discontinuous Galerkin (DG) methods have emerged as a formidable tool in computational fluid dynamics (CFD), offering a flexible and high-order accurate framework for solving complex flow problems. By ...

This course is designed for engineering graduate students who are interested in furthering their knowledge in advanced and emerging methods of engineering design, with the focus on computational ...

The increasing complexity of modern chemical engineering processes presents significant challenges for timely and accurate anomaly detection. Traditional ...

What does it mean to think like an engineer? In the Pratt School of Engineering’s revamped introductory computing course Engineering 105L, Computing for Engineers, students are tasked with answering ...

With an applied physics: computational degree, you’ll gain specialized expertise in mathematical modeling, simulation, and data analysis, preparing you for careers in technology and research. Become ...

The safe disposal of radioactive waste over extended timescales presents a critical scientific and engineering challenge.