Engineers know that energy modeling is a moving target. Trying to both design sustainable buildings and meet more-stringent government and client-imposed clean energy and carbon reduction goals has ...

Computational drug discovery and design integrates advanced computer‐aided methodologies with chemical and biological insights to accelerate the identification and optimisation of therapeutic agents.

Non-terrestrial networks (NTNs) using low earth orbit (LEO) satellites present unique technical challenges, from managing large satellite constellations to ensuring reliable communication links. In ...

Automation aims to standardize industrial operations and bring overall efficiency to today’s production lines. Such gains, however, may come with considerable effort, as engineering teams must ...

Maximilian Holland, research associate, and Marion Früchtl, head of cross competence field, Fraunhofer Institute for Casting, Composite and Processing Technology (IGCV) Figure 1: The design of a ...

Electronic systems keep getting more complex. Much of the complexity comes from ICs, which can undergo years of design and validation cycles before reaching the market. System design engineering teams ...

It’s no secret to anyone that chip design gets harder every year. There are two major trends driving these ever-increasing challenges. The first is the continual scaling down to smaller design nodes.

This technical FAQ examines three modeling gaps identified in engineering literature and outlines algorithmic methods to address them.

How VisualSim Architect models complex multi-die and chiplet-based systems before implementation. Why UCIe latency analysis is important when integrating chiplets from different vendors. How comparing ...