MATLAB could anchor the physical AI era, where simulation-first engineering and grounded generative AI turn physics into reliable, deployable intelligence.

Lyophilization model can help optimize freeze-drying steps for continuous manufacturing processes, according to MIT researchers.

This repository contains the MATLAB code, released under the MIT License, that generates all of the figures and implements all of the algorithms and many of the performance calculations within the ...

This software is for academic use. Do not use this in a commercial environment. There are plenty of commercial Boundary Element codes in circulation. It does not require compiling, simply run the ...

Background Predicting progression to aortic valve replacement (AVR) in moderate aortic stenosis (AS) is challenging. This ...

Abstract: Over the last three decades, a large number of evolutionary algorithms have been developed for solving multi-objective optimization problems. However, there lacks an upto-date and ...

Taiwo Feyijimi stands at a rare crossroads where advanced artificial intelligence, engineering education, and human learning converge. As a doctoral candidate in Engineering Education Transformations ...

Abstract: For various daunting physical world structural optimization design problems, a novel multi-objective water strider algorithm (MOWSA) is proposed, and its non-dominated sorting (NDS) ...

No-code platforms are rewriting the rules of risk. From taming ever-shifting regulations to decoding data without code, ...

Thinking about a career in semiconductors? It’s a field that’s constantly changing and super important for all ...

Maintaining CDK4/6 inhibition constrains drug‑resistant breast tumors by delaying cell‑cycle entry, and adding CDK2 inhibition further deepens control to guide post‑progression therapy.

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