Results 111 to 120 of about 4,246 (285)

Intrinsic Dual‐Phase Regulated GeSe2 Nanoparticles Triggered by Ball‐Milling Treatment for Photonic Multi‐Valued Logic Circuits

Advanced Science, EarlyView.
We report the solid‐state ball milling, a traditional, reliable, mass‐productive material processing, to prepare the air‐stable and dual‐phase GeSe2‐x nanoparticles with extended photodetection feasibility toward optical‐wavelength regions. We further display photonic multi‐valued logic (MVL) circuit through the employment of a hybrid PMMA/GeSe2‐x ...
An‐Ting Tsai, Chun‐Jen Wang, Pin‐Chao Liao, Chin Shan Lue, Chia‐Nung Kuo, Le Vo Phuong Thuan, Po‐Hsuan Hsiao, Chang‐Hyun Kim, Chia‐Yun Chen   +8 more
wiley   +1 more source

Atomically Modulating Competing Exchange Interactions in Centrosymmetric Skyrmion Hosts GdRu2X2 (X = Si and Ge)

Advanced Electronic Materials, EarlyView.
Our work bridges the gap between skyrmion discovery and material design by demonstrating how atomic‐scale control of exchange interactions enables tunable skyrmion phase transitions in centrosymmetric magnetic metals. ABSTRACT Magnetic skyrmions are topologically protected spin states that hold promise for shaping the future of electronics.
Dasuni N. Rathnaweera, Xudong Huai, K. Ramesh Kumar, Michał J. Winiarski, Tomasz Klimczuk, Allana G. Iwanicki, Satya K. Kushwaha, Martin Mourigal, Tyrel M. McQueen, Thao T. Tran   +9 more
wiley   +1 more source

Fundamental Challenges, Physical Implementations, and Integration Strategies for Ising Machines in Large‐Scale Optimization Tasks

Advanced Electronic Materials, EarlyView.
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley   +1 more source

Models of computation: A numeric analysis and performance evaluation [PDF]

This research seeks to better understand what drives performance in computation. To develop this understanding the researcher investigates the literature on computational performance within the classical and quantum paradigm for both binary and multi ...
Verschueren, Ricardo
core  

SteadyCellPhenotype: a web-based tool for the modeling of biological networks with ternary logic. [PDF]

Bioinformatics, 2022
Knapp AC, Sordo Vieira L, Laubenbacher R, Chifman J.   +3 more
europepmc   +1 more source

An Optimal Gate Design for the Synthesis of Ternary Logic Circuits [PDF]

, 2018
Department of Electrical EngineeringOver the last few decades, CMOS-based digital circuits have been steadily developed. However, because of the power density limits, device scaling may soon come to an end, and new approaches for circuit designs are ...
Taeho Lim, Seokhyeong Kang, Lim, Taeho, KANG, SEOKHYEONG, Sunmean Kim, Kim, Sunmean   +5 more
core   +1 more source

Robust and Compatible Ferroelectric Memories with Polycrystalline TiO2 Channel for 3D Integration

Advanced Electronic Materials, EarlyView.
Robust and monolithic 3D compatible ferroelectric memories are realized using the polycrystalline TiO2 channel‐based FeFET. The review covers physical mechanisms of the TiO2 channel FeFET, quantitative benchmarking, and advanced planar/vertical architectures for monolithic 3D integration based on HfO2‐TiO2 gate stack, offering a roadmap for reliable ...
Xujin Song, Chenxi Yu, Shangze Li, Dijiang Sun, Jiajia Zhang, Haotong Zhu, Xiaomin Xiao, Xionghao Qin, Xiaoyan Liu, Xing Zhang, Jinfeng Kang   +10 more
wiley   +1 more source

Demonstration of Anti-ambipolar Switch and Its Applications for Extremely Low Power Ternary Logic Circuits. [PDF]

ACS Nano, 2022
Lee Y, Kim S, Lee HI, Kim SM, Kim SY, Kim K, Kwon H, Lee HW, Hwang HJ, Kang S, Lee BH.   +10 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 Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

Scan‐Path‐ and Initial‐State‐Dependent Superdomain Switching in (111)‐Oriented PZT

Advanced Electronic Materials, EarlyView.
Scan trajectory and initial superdomain topology govern polarization switching in (111)‐oriented PZT. Automated AFM writing, pulsing experiments, and interferometric 3D‐PFM show that raster scans reproducibly stabilize ordered Type‐I stripe superdomains with constrained variant selection, whereas spiral trajectories generate frustrated mixed‐variant ...
Rama Vasudevan, Laveeza Ahmad, Bharat Pant, Ralph Bulanadi, Asraful Haque, Puneet Kaur, Sabine Neumayer, Jan‐Chi Yang, Yongtao Liu, Ye Cao, Stephen Jesse, Marti Checa   +11 more
wiley   +1 more source