Zhenyu Kong

Jun 9, 2024 | nature.com | Zhenyu Kong

AbstractSpectroscopic techniques generate one-dimensional spectra with distinct peaks and specific widths in the frequency domain. These features act as unique identities for material characteristics. Deep neural networks (DNNs) has recently been considered a powerful tool for automatically categorizing experimental spectra data by supervised classification to evaluate material characteristics.

Sep 17, 2023 | nature.com | Desheng Yao |Han Liu |Vikram Deshpande |Chan Soo Ha |Zhenyu Kong

AbstractDesigning and printing metamaterials with customizable architectures enables the realization of unprecedented mechanical behaviors that transcend those of their constituent materials. These behaviors are recorded in the form of response curves, with stress-strain curves describing their quasi-static footprint.