Results 161 to 170 of about 189,987 (323)

High‐Performance and Energy‐Efficient Sub‐5 nm 2D Double‐Gate MOSFETs Based on Silicon Arsenide Monolayers

Advanced Electronic Materials, EarlyView.
Sub‐5 nm double‐gate MOSFETs based on 2D SiAs monolayers are investigated using quantum transport simulations. By engineering source‐drain underlap regions, the devices achieve exceptional on‐currents of up to 1206 µA µm−1, surpassing the ITRS 2028 high‐performance targets.
Dogukan Hazar Ozbey, Engin Durgun
wiley   +1 more source

Single-photon three-qubit quantum logic using spatial light modulators. [PDF]

Nat Commun, 2017
Kagalwala KH, Di Giuseppe G, Abouraddy AF, Saleh BEA.   +3 more
europepmc   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kimh, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

Triboelectric Tactile Transducers for Neuromorphic Sensing and Synaptic Emulation: Materials, Architectures, and Interfaces

Advanced Energy and Sustainability Research, EarlyView.
Triboelectric nanogenerators are vital for sustainable energy in future technologies such as wearables, implants, AI, ML, sensors and medical systems. This review highlights improved TENG neuromorphic devices with higher energy output, better stability, reduced power demands, scalable designs and lower costs.
Ruthran Rameshkumar, Arunkumar Chandrasekhar, Poongundran Selvaprabhu   +2 more
wiley   +1 more source

Designing Memristive Materials for Artificial Dynamic Intelligence

Advanced Intelligent Discovery, EarlyView.
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley   +1 more source

Initializing the Collective Motion of Trapped Ions for Quantum Logic [PDF]

, 1998
Brian King, C. S. Wood, C. J. Myatt, Q. A. Turchette, D. Leibfried, Wayne M. Itano, C. Monroe, D. J. Wineland   +7 more
openalex  

Quantum Logic under Semiclassical Limit: Information Loss

, 2022
Maksym Teslyk, Olena Teslyk, L. V. Zadorozhna   +2 more
openalex   +2 more sources

Flexible Memory: Progress, Challenges, and Opportunities

Advanced Intelligent Discovery, EarlyView.
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan, Sen Chen, Minghui Guo, Ziliang Cui, Yujie Du, Jing Liu   +5 more
wiley   +1 more source

The role of spectator modes in the quantum-logic spectroscopy of single trapped molecular ions. [PDF]

Commun Phys
Roguski M, Shlykov A, Meir Z, Willitsch S.   +3 more
europepmc   +1 more source

Experimental investigation of a four-qubit linear-optical quantum logic circuit. [PDF]

Sci Rep, 2016
Stárek R, Mičuda M, Miková M, Straka I, Dušek M, Ježek M, Fiurášek J.   +6 more
europepmc   +1 more source