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Engineers on the College of Maryland (UMD) have developed a mannequin that mixes machine studying and collaborative robotics to beat challenges within the design of supplies utilized in wearable inexperienced tech.

Led by Po-Yen Chen, assistant professor in UMD’s Division of Chemical and Biomolecular Engineering, the accelerated methodology to create supplies utilized in wearable heating purposes—revealed within the journal Nature Communications—might automate design processes for brand new supplies.

Much like water-based gels, however as an alternative made utilizing air, aerogels are light-weight and porous supplies utilized in and wearable applied sciences, because of their and adaptability. However regardless of their seemingly simplistic nature, the aerogel meeting line is advanced; researchers depend on time-intensive experiments and experience-based approaches to discover an enormous design house and design the supplies.

To beat these challenges, the analysis group mixed robotics, algorithms, and supplies science experience to allow the accelerated design of aerogels with programmable mechanical and electrical properties. Their prediction mannequin is constructed to generate sustainable merchandise with a 95% accuracy price.






Credit score: College of Maryland

“Supplies science engineers usually battle to undertake machine studying design because of the shortage of high-quality . Our workflow, which mixes robotics and machine studying, not solely enhances information high quality and assortment charges, but in addition assists researchers in navigating the advanced design house,” mentioned Chen.

The group’s robust and versatile aerogels have been made utilizing conductive titanium nanosheets, in addition to naturally occurring parts comparable to cellulose (an natural compound present in plant cells) and gelatin (a collagen-derived protein present in animal tissue and bones).

The group says their software will also be expanded to satisfy different purposes in aerogel design—comparable to inexperienced applied sciences utilized in oil spill cleanup, sustainable power storage, and thermal power merchandise like insulating home windows.

“The mixing of those approaches is placing us on the frontier of supplies design with tailorable advanced properties. We foresee leveraging this new scaleup manufacturing platform to design aerogels with distinctive mechanical, thermal, and for harsh working environments,” mentioned Eleonora Tubaldi, an assistant professor in mechanical engineering and collaborator within the research.

Wanting forward, Chen’s group will conduct research to grasp the microstructures liable for aerogel flexibility and energy properties.

Extra info:
Snehi Shrestha et al, Machine intelligence accelerated design of conductive MXene aerogels with programmable properties, Nature Communications (2024). DOI: 10.1038/s41467-024-49011-8

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AI and robotics improve design of sustainable aerogels for wearable tech (2024, June 4)
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