A new study by KAIST researchers proposed a deep neural network-based forward design approach that enables an efficient search for superior materials far beyond the domain of the initial training ...

The framework developed by a team with Professor Wei Chen could enhance the design and functionality of programmable material systems, whose applications are diverse and impactful.