Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.
A Johns Hopkins University engineer has developed a specialized AI tool that could do for materials scientists what ChatGPT has done for coders and writers. The new system, called ChatGPT Materials ...
Interesting Engineering on MSN
US to develop resilient material for jet engines that eat shockwaves for propulsion
RDE is a propulsion system that promises higher power, greater fuel efficiency, and lower emissions than conventional rocket ...
Interesting Engineering on MSN
New catalyst tackles seawater’s salt problem, boosting hydrogen energy output
KIMS unveils MXene-based catalyst that resists chloride corrosion and doubles durability in seawater electrolysis.
Molten calcium–magnesium–alumina–silicate (CMAS) is easy to wet and penetrate into thermal barrier coatings (TBCs), causing ...
Elizabeth Hanechak, 18, of Russell has been awarded a $100,000 scholarship for her project, Solving the Plastic Problem: ...
Dubai: Engineer Amna Khalid Al Mazmi, from the Forensic Engineering Section of the Specialised Forensic Science Department at ...
A team of Boise State University faculty are making university history and amplifying Idaho’s semiconductor workforce ...
A nearly $3M grant is funding this university’s push into “recyclofacturing.” Here's what that means for your recycled scrap ...
Lam Tran, a senior glass science engineering major at Alfred University, was recently awarded third place in the 2025 ...
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