Zobrazeno 1 - 10
of 980
pro vyhledávání: '"Chengkuo Lee"'
Publikováno v:
Nano-Micro Letters, Vol 17, Iss 1, Pp 1-19 (2024)
Highlights Proposed a new paradigm for nanoantenna design using coupled-mode theory. Designed an OC-Hµ resonator with excellent sensing performance. Using OC-Hµ resonators for biomolecule recognition and detection.
Externí odkaz:
https://doaj.org/article/3e1934e3d61f499983a3f205f40fbb5f
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-4 (2024)
Recent advances in virtual reality technologies accelerate the immersive interaction between human and augmented 3D virtual worlds. Here, the authors discuss olfactory feedback technologies that facilitate interaction with real and virtual objects an
Externí odkaz:
https://doaj.org/article/d5fdb333b2d64db7b61682244b3212eb
Bionic e-skin with precise multi-directional droplet sliding sensing for enhanced robotic perception
Autor:
Yunlong Xu, Zhongda Sun, Zhiqing Bai, Hua Shen, Run Wen, Fumei Wang, Guangbiao Xu, Chengkuo Lee
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract Electronic skins with deep and comprehensive liquid information detection are desired to endow intelligent robotic devices with augmented perception and autonomous regulation in common droplet environments. At present, one technical limitati
Externí odkaz:
https://doaj.org/article/a6924defbc2749a8b1a27795bbf1f4e0
Publikováno v:
Nanoenergy Advances, Vol 4, Iss 2, Pp 156-173 (2024)
This paper reviews and summarizes recent progress in blue energy harvesting based on a triboelectric nanogenerator (TENG). This review covers TENG-based blue energy harvesters (BEHs) with different inertial units in spherical structures, derivative s
Externí odkaz:
https://doaj.org/article/26deb87adee64e539fab4c71aa9f6ef5
Autor:
Philippe Vachon, Srinivas Merugu, Jaibir Sharma, Amit Lal, Eldwin J. Ng, Yul Koh, Joshua E.-Y. Lee, Chengkuo Lee
Publikováno v:
Microsystems & Nanoengineering, Vol 10, Iss 1, Pp 1-19 (2024)
Abstract This article presents an in-depth exploration of the acoustofluidic capabilities of guided flexural waves (GFWs) generated by a membrane acoustic waveguide actuator (MAWA). By harnessing the potential of GFWs, cavity-agnostic advanced partic
Externí odkaz:
https://doaj.org/article/90e0cc6f3233439190b52f68a2a63c88
Autor:
Feng Wen, Chengkuo Lee
Publikováno v:
Droplet, Vol 3, Iss 3, Pp n/a-n/a (2024)
Abstract Water droplets help life in nature survive, thrive, and evolve. With water droplet serving as one of the indispensable elements in the Internet of Things (IoT), many droplet‐oriented technologies, such as microfluidics, droplet manipulatio
Externí odkaz:
https://doaj.org/article/2135ce67adc84dcd9ac0dc8c28fc0b8c
Publikováno v:
Advanced Science, Vol 11, Iss 20, Pp n/a-n/a (2024)
Abstract The emergence of digital twins has ushered in a new era in civil engineering with a focus on achieving sustainable energy supply, real‐time sensing, and rapid warning systems. These key development goals mean the arrival of Civil Engineeri
Externí odkaz:
https://doaj.org/article/1d2595621799427eac0def967b89053a
Autor:
Liang Xu, Songyi Zhong, Tao Yue, Zixuan Zhang, Xiao Lu, Yangqiao Lin, Long Li, Yingzhong Tian, Tao Jin, Quan Zhang, Chengkuo Lee
Publikováno v:
EcoMat, Vol 6, Iss 5, Pp n/a-n/a (2024)
Abstract Sedentary, inadequate sleep and exercise can affect human health. Artificial intelligence (AI) and Internet of Things (IoT) create the Artificial Intelligence of Things (AIoT), providing the possibility to solve these problems. This paper pr
Externí odkaz:
https://doaj.org/article/fa3dd9795f7346b6bd94383b9fb22d8d
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-12 (2023)
Abstract One of the fundamental hurdles in infrared spectroscopy is the failure of molecular identification when their infrared vibrational fingerprints overlap. Refractive index (RI) is another intrinsic property of molecules associated with electro
Externí odkaz:
https://doaj.org/article/da8f1160152443b4bceda8d012fde455
Publikováno v:
Small Structures, Vol 5, Iss 4, Pp n/a-n/a (2024)
Machine‐learning‐enhanced nanosensors are rapidly emerging as a promising solution in the field of sensor technology, as traditional sensors encounter limitations of data analysis in their development. Since the inception of machine‐learning al
Externí odkaz:
https://doaj.org/article/319c6640424341f2ae7a811f7053c99e