Results 121 to 130 of about 13,642,405 (235)

Nature‐Derived Chitosan Biopolymer: A Promising Candidate for Sustainable Electronics

Advanced Materials Technologies, EarlyView.
In the creation of environmentally friendly devices, nature‐derived chitosan biopolymer is a promising contender for sustainable electronic research. It can be utilized to create more ecologically friendly scalable gadgets and has a variety of uses in different active layers of electronics.
Joshua McDonald, Ali Nawaz, Amandeep Singh, Prashant Sonar   +3 more
wiley   +1 more source

Neuromorphic Computing and Applications: A Topical Review

Neuromorphic computers achieve energy efficiency by emulating brain structure and event-driven processing that reduces energy consumption significantly. An increasing interest in this technology started in the initial years of this millennium, sparked by
Rhodes, Oliver, Enuganti, Pavan Kumar, Serrano-Gotarredona, Teresa, Sen-Bhattacharya, Basabdatta   +3 more
core   +1 more source

Advanced Manufacturing of Composite‐Based Systems for Energy Applications

Advanced Materials Technologies, EarlyView.
Advanced manufacturing enables the integration of polymers, ceramics, metal oxides, and composites into architected microstructures with tailored transport pathways. By coupling material selection, manufacturing strategy, and structural design, multifunctional energy systems can simultaneously improve electrochemical performance, thermal management ...
Sri Vaishnavi Thummalapalli, Dhanush Patil, Libin Yang, M. Taylor Sobczak, Anshul Kulkarni, Xiao Sun, Arunachalam Ramanathan, Tiantian Li, Ramaraja P. Ramasamy, Jason J. Locklin, Yanyu Chen, Xianqiao Wang, Arunachala Mada Kannan, Kenan Song   +13 more
wiley   +1 more source

Toward Perception‐Native Electronic Skin: Bio‐Inspired In‐/Near‐Sensor and Neuromorphic Computing for Humanoid Robots

Advanced Materials Technologies, EarlyView.
Dense tactile streams from across the humanoid body converge on collide in a central wiring and data bottleneck. By relocating computation closer to and then into the skin itself, near‐ and in‐sensor architectures, together with neuromorphic computing, chart a path toward perception‐native electronic skin, in which the conversion of stimulus into ...
Mijin Kim, Chang‐Jae Beak, Jiyoung Park, Youngdo Jung, Sunjong Oh, Sin‐Hyung Lee, Bo‐Yeon Lee   +6 more
wiley   +1 more source

On‐Chip Photonic Neural Network Architectures

Advanced Optical Materials, EarlyView.
This review presents a comprehensive overview of on‐chip photonic neural network architectures, covering key photonic building blocks, representative network types, and emerging applications. Recent advances, implementation challenges, and future directions are examined, highlighting the potential of integrated photonics to enable ultrafast, energy ...
Seokjin Hong, Berkay Neseli, Seungyeon Cho, Seungsoo Lee, Yeonjun Kim, Seungyoon Choi, Hyo‐Hoon Park, Hamza Kurt   +7 more
wiley   +1 more source

2D Spintronics for Neuromorphic Computing with Scalability and Energy Efficiency

Journal of Low Power Electronics and Applications
The demand for computing power has been growing exponentially with the rise of artificial intelligence (AI), machine learning, and the Internet of Things (IoT).
Douglas Z. Plummer, Emily D’Alessandro, Aidan Burrowes, Joshua Fleischer, Alexander M. Heard, Yingying Wu   +5 more
doaj   +1 more source

Near‐Field Nanoimaging of Programmable Phase Transitions in Ga+‐Irradiated VO2

Advanced Optical Materials, EarlyView.
Focused Ga+ ion irradiation locally reprograms the insulator‐to‐metal transition in VO2 thin films. Infrared and terahertz near‐field nanoimaging reveals that low irradiation doses localize the resistive‐switching filament within the defect region, while high doses suppress switching there and redirect the filament into pristine VO2.
Sarabpreet Singh, Nareg Ghazikhanian, Muhammad Asjad, Erbin Qiu, Ivan K. Schuller, Yohannes Abate   +5 more
wiley   +1 more source

Stretchable neuromorphic electronics for future human-integrated intelligence

International Journal of Extreme Manufacturing
Neuromorphic electronics emulate the computational principles of biological neural systems, offering low-power, adaptive, and parallel signal processing capabilities for next-generation intelligent systems.
Tianda Fu, Ruizhe Yang, Max Weires, Junyi Yin, Yifan Liao, Yifan Guo   +5 more
doaj   +1 more source

On‐Chip Microheater‐Based Back‐End‐of‐Line Compatible Synthesis of VO2 Films for Reconfigurable Silicon Photonics

Advanced Optical Materials, EarlyView.
A back‐end‐of‐line‐compatible microheater platform enables localized synthesis and reversible switching of high‐quality VO2 directly on silicon photonic chips. The approach overcomes conventional thermal‐budget and patterning constraints while delivering device performance comparable to high‐temperature‐grown films, providing a scalable pathway for ...
Khoi Phuong Dao, Siddharth Kumar, Zhiyun Xu, Junhe Zhang, Qinyuan Xue, Rui Chen, Shriram Ramanathan, Juejun Hu   +7 more
wiley   +1 more source

Enhanced Linear Conductance Modulation by La‐Doping in HfO2‐Based Memristors for Neuromorphic Applications

Advanced Electronic Materials
Efficient computing systems require low‐power and high‐density memory technologies capable of supporting advanced applications such as neuromorphic computing and artificial intelligence. Hafnium oxide (HfO2) based resistive random‐access memory (RRAM) is
Taewook Kim, Márton Major, Enrique Miranda, Philipp Schreyer, Yingxin Li, Yu Duan, Alexey Arzumanov, Tobias Vogel, Nico Kaiser, Eszter Piros, Lambert Alff   +10 more
doaj   +1 more source