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.

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

The main package have modules such as Elastic_Master_Code, Elastoplastic_Master_Code and setpath. The module Elastic_Master_Code sets input parameters for slope stability analysis using elastic finite ...

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 ...

This is a project developed by a small group of students of the Civil Engineering Master Degree at the University of Trento (Italy) for the Computational Mechanics of Structures 2 course. The aim is ...

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: The domain of cross compiler development pertains to the process wherein code written in one programming language is translated to another so that it may be compatible with another ...

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 ...

CpG density and epigenetic modification state modulate DNA mechanics, altering its intrinsic compatibility with nucleosome formation.

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