Modern semiconductor chip design faces growing complexity due to numerous timing scenarios driven by varying operating conditions and physical effects. This complexity is especially pronounced in ...

Design space optimization and flexibility analysis are central to enhancing the robustness, efficiency and regulatory compliance of pharmaceutical manufacturing. These approaches routinely combine ...

Drug discovery has traditionally been a reductive process—narrowing down, filtering out, and optimizing within established constraints. Generative AI turns that on its head. It is an expansive force, ...

Artificial Intelligence has become a pervasive technology that is being applied to solve today’s complex problems, especially in the areas involving exponentially large amounts of data, their analysis ...

In the lower part of the figure, it can be seen that L2O leverages on a set of training problem instances from the target optimization problem class to gain knowledge. This knowledge can help identify ...

Explore how Sandra Shaji, a Samsung engineering leader, is pioneering DTCO infrastructure for sub-2nm semiconductor design.

Achieving cost-competitiveness for green hydrogen produced via water electrolysis using intermittent renewable energy sources remains a significant challenge. Researchers from LUT University in ...

PhysicsX’s LGM-Aero AI-based analysis tool predicts performance of new shapes. Credit: PhysicsX Numerical simulation has become an essential part of aircraft design, from aerodynamics and structures ...

A team of researchers created Morpho, an open-source programmable environment that enables researchers and engineers to conduct shape optimization and design for soft materials. Applications can be ...