Z Cao, B Sun, G Zhou, S Mao, S Zhu, J Zhang… - Nanoscale …, 2023 - pubs.rsc.org
Since the beginning of the 21st century, there is no doubt that the importance of artificial intelligence has been highlighted in many fields, among which the memristor-based artificial …
B Ameduri - Progress in Polymer Science, 2022 - Elsevier
The radical copolymerization of VDF with M monomer, the properties and applications of the resulting copolymers are presented. First, after listing a non-exhaustive series of …
G Feng, X Zhang, B Tian, C Duan - InfoMat, 2023 - Wiley Online Library
Rapid developments in the Internet of Things and Artificial Intelligence trigger higher requirements for image perception and learning of external environments through visual …
L Zhao, H Fang, J Wang, F Nie, R Li, Y Wang… - Applied Physics …, 2024 - pubs.aip.org
Neuromorphic computing provides alternative hardware architectures with high computational efficiencies and low energy consumption by simulating the working principles …
G Ding, H Li, JY Zhao, K Zhou, Y Zhai, Z Lv… - Chemical …, 2024 - ACS Publications
The quest to imbue machines with intelligence akin to that of humans, through the development of adaptable neuromorphic devices and the creation of artificial neural …
Y Zhang, Q Zhu, B Tian, C Duan - Nano-Micro Letters, 2024 - Springer
Ferroelectrics have great potential in the field of nonvolatile memory due to programmable polarization states by external electric field in nonvolatile manner. However, complementary …
L Yang, H Wang - Acta Biomaterialia, 2024 - Elsevier
Traditional robotic devices are often bulky and rigid, making it difficult for them to adapt to the soft and complex shapes of the human body. In stark contrast, soft robots, as a burgeoning …
W Song, M Rao, Y Li, C Li, Y Zhuo, F Cai, M Wu, W Yin… - Science, 2024 - science.org
In-memory computing represents an effective method for modeling complex physical systems that are typically challenging for conventional computing architectures but has been …