AI material design

UW research drop: AI materials, ocean temps, and dad smell studies

Three UW research stories landed this month, and honestly, they're a solid reminder that good science is often a team effort between humans and machines.

4 min readUW News
UW research drop: AI materials, ocean temps, and dad smell studies
A multifunctional composite material created by UW researchers is stretched and twisted. In a recent study, researchers showed how a novel AI-assisted design framework can help develop new materials for specific applications quickly and efficiently. Photo: Zhou et. al/Advanced Functional Materials
From UW News

Flexible materials that combine mechanical flexibility with high thermal or electrical conductivity are essential for wearables, stretchable electronics and soft robotic systems. To identify new composite materials with those properties, researchers typically create and test many different material formulations, a process that can be time-consuming, expensive and lead to waste. In a new study published recently in Advanced Functional Materials, UW researchers developed a new “inverse design framework” that reverses the standard design process to speed up the discovery of multifunctional materials. The framework starts with the desired material properties for a specific application — such as wearable electronics —…

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