Results 191 to 200 of about 2,238,851 (367)
Carbon Nanotube 3D Integrated Circuits: From Design to Applications
As Moore's law approaches its physical limits, carbon nanotube (CNT) 3D integrated circuits (ICs) emerge as a promising alternative due to the miniaturization, high mobility, and low power consumption. CNT 3D ICs in optoelectronics, memory, and monolithic ICs are reviewed while addressing challenges in fabrication, design, and integration.
Han‐Yang Liu+3 more
wiley +1 more source
This study introduces a paper‐based biodegradable, humidity‐insensitive e‐nose for real‐time breath analysis, addressing challenges in existing technologies such as humidity interference, high costs, and environmental impact. Featuring hydrophobic polymer coatings, these sensors reliably detect VOCs even in high‐moisture environments.
Indrajit Mondal+2 more
wiley +1 more source
Biofabrication aims at providing innovative technologies and tools for the fabrication of tissue‐like constructs for tissue engineering and regenerative medicine applications. By integrating multiple biofabrication technologies, such as 3D (bio) printing with fiber fabrication methods, it would be more realistic to reconstruct native tissue's ...
Waseem Kitana+2 more
wiley +1 more source
Learned-Norm Pooling for Deep Feedforward and Recurrent Neural Networks
Çağlar Gülçehre+3 more
openalex +2 more sources
A Novel Approach to Implementing Artificial Thalamic Neurons with Ferroelectric Transistors
Artificial neurons created using CMOS technology often require a large number of transistors and capacitors. This study introduces an artificial thalamic neuron that employs only five CMOS compatible ferroelectric transistors. The manufactured thalamic neuron demonstrates leaky integrate‐and‐fire‐or‐burst (LIFB) functionalities, featuring self ...
Andreas Grenmyr+7 more
wiley +1 more source
vDNN: Virtualized deep neural networks for scalable, memory-efficient neural network design
Minsoo Rhu+4 more
semanticscholar +1 more source
Heterojunctions combining halide perovskites with low‐dimensional materials enhance optoelectronic devices by enabling precise charge control and improving efficiency, stability, and speed. These synergies advance flexible electronics, wearable sensors, and neuromorphic computing, mimicking biological vision for real‐time image analysis and intelligent
Yu‐Jin Du+11 more
wiley +1 more source
Training deep neural networks with low precision multiplications
Matthieu Courbariaux+2 more
openalex +2 more sources
Herein, a comprehensive framework that enabled the optimization of colloidal solubility within a high‐dimensional parameter space and study of reversible assembly processes is developed. This data‐driven workflow integrated innovations including the robotic platform for automated AuNPs functionalization, machine learning for predicting and revealing ...
Yueyang Gao+5 more
wiley +1 more source