Results 231 to 240 of about 11,144 (308)

Synthesis of Amorphous‐Crystalline Mixture Boron Nitride for Balanced Resistive Switching Operation

Small, EarlyView.
An amorphous–crystalline mixture BN (acm‐BN) is synthesized through low‐pressure chemical vapor deposition, achieving balanced resistive switching with low SET voltage and stable RESET. High‐resolution transmission electron microscopy reveals that BN films are fully amorphous at 930 °C, a mixed amorphous–crystalline phase is achieved at 990 °C.
Kyung Jin Ahn, Do Kyeong Yun, Mi Hyang Park, Hong Woon Yun, Minh Chien Nguyen, Van Tu Vu, Huamin Li, Pallavi Aggarwal, Woo Jong Yu   +8 more
wiley   +1 more source

In-Sensor-Memory Computing for Post-Von Neumann Intelligence: A Perspective. [PDF]

Nanomicro Lett
Tang H, Yu N, Min P, Guo R, Zhang G.
europepmc   +1 more source

Opportunities for 2D‐Material‐Based Multifunctional Devices and Systems in Bioinspired Neural Networks

Small, EarlyView.
Bio‐inspired computing offers a route to highly energy‐efficient artificial intelligence. The unique physical properties of two‐dimensional (2D) materials can further enhance such computing approaches. This perspective highlights recent developments in 2D materials‐based neuromorphic devices and discusses future opportunities for integrating such novel
Jin Feng Leong, Maheswari Sivan, Jieming Pan, Zihang Fang, Jianan Li, Zefeng Xu, Shi Zhao, Quanzhen Wan, Evgeny Zamburg, Aaron Voon‐Yew Thean   +9 more
wiley   +1 more source

Demonstration of CMOS-compatible memristor-based electrochemical biosensor transducer with threshold-sensing functionality. [PDF]

Nat Commun
Kim YJ, Kwon Y, Yoo Y, Theyagarajan K, Saikrithika S, Lee A, Bae NH, Lee WC, Sim G, Lee Y, Park SO, Cho H, Kang MH, Kim Y, Park Y, Lee KG, Kim CY, Ko H, Sul WS, Lee SJ, Ahn JH, Choi S, Kim KM, Lee J.   +23 more
europepmc   +1 more source

A Bilayer Rare‐Earth/High‐κ Oxide Memristor for Energy‐Efficient Neuromorphic Intelligence

Small, EarlyView.
Interface‐engineered Gd2O3/HfO2 bilayer memristors demonstrate controlled filament formation, ultralow switching energy (∼13.56 pJ), and fast operation (∼350 ns) with a high ON/OFF ratio (∼107). The devices exhibit stable analog synaptic behavior and enable pattern recognition on Fashion‐MNIST, underscoring their promise for energy‐efficient ...
Hammad Ghazanfar, Muhammad Rabeel, Honggyun Kim, Sobia Nisar, Muhammad Wajid Zulfiqar, Muneeb Ahmad, Rana Faryad Ali, Ghulam Dastgeer, Deok‐kee Kim   +8 more
wiley   +1 more source

Versatile Metal Phthalocyanine-Based Memristive Nanowire Network: Unraveling the Dynamics of Digital to Analog Switching. [PDF]

Small Sci
Maity S, Mandal A, Pradhan P, Ghosh A, Topwal D, Patra BK, Som T.   +6 more
europepmc   +1 more source

An Innovative Approach to Multi‐Valued Logic

IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
The current generation of computer systems operates on the principles of binary logic, which encompasses both logical and arithmetic operations. However, silicon technology has reached its peak performance, prompting researchers to explore alternative methods for enhancing computational efficiency. One such method is the adoption of Multi‐Valued Logic (
Ali Mokhtari, Peyman Kabiri
wiley   +1 more source

Error-aware probabilistic training for memristive neural networks. [PDF]

Nat Commun
Liu J, Lu J, Tang S, Zhou R, Ma H, Lyu B, Tian Y, Shi T, Liu Q.   +8 more
europepmc   +1 more source

Carbon Dots: An Emerging Frontier for Green and Sustainable Civil Engineering Materials

ENERGY &ENVIRONMENTAL MATERIALS, Volume 9, Issue 4, July 2026.
Traditional civil engineering materials (CE materials) are usually involved with high‐energy consumption during manufacturing, significant maintenance costs, and substantial environmental impacts throughout their life cycles. The progress of nanotechnology is catalyzing a green and sustainable transformation within the field.
Weiwen Hao, Xiaolong Wang, Xiao Chen, Dong Liu, Zhenhui Kang, Cheng Zhu   +5 more
wiley   +1 more source

Computing-in-memory architecture for Kolmogorov-Arnold networks based on tunable Gaussian-like memory cells. [PDF]

Nat Commun
Wen Z, Zhang Q, Chen J, Yang T, Yang F, Wang X, Liu Q, Luo X, Lin P, Deng LJ, Liu F.   +10 more
europepmc   +1 more source