Engineering has always depended on the ability to test ideas before committing them to expensive physical prototypes, ...

A new two-stage reduced order model combines hyper-reduction and Gaussian process regression to cut both training and ...

Computer modeling and simulation has been a cornerstone of engineering innovation for decades. For applications ranging from aerospace products to consumer electronics, companies have long relied on ...

A hybrid physics and machine learning framework predicts how continuous carbon fiber prepreg tapes deform during robotic 3D ...

Defense is in a race to innovate. Adversaries are compressing the time between technological discovery, development, fielding and adaptation. The U.S. defense acquisition system must respond by ...

Comsol’s Bjorn Sjodin explains the value of reduced order modeling, how chatbots can help simulation beginners and what better AI could lead to. Engineering.com recently spoke with Bjorn Sjodin, ...

Matt Zerphy, assistant dean for operations and professor of practice in nuclear engineering at Penn State, has received a ...

MUNICH, Germany--(BUSINESS WIRE)--SimScale, the leader in cloud-native engineering simulation, today announces the launch of the world’s first foundation AI model for turbomachinery simulation. Built ...

Clark State is the only college in Ohio to now offer an associate degree in the “futuristic new major” of modeling and simulation engineering that will prepare students for careers in a “rapidly ...

Over the past decade or so, foundation models have emerged as the dominant paradigm for interacting with language, images, and code. Large Language Models (LLMs) can generate text. Vision models can ...

Predictive analytics allows data professionals to identify trends, forecast outcomes and test assumptions using data. When these capabilities are applied to simulation modeling, they make models more ...