Results 151 to 160 of about 853 (244)

Memristive ternary Łukasiewicz logic based on reading-based ratioed resistive states (3R). [PDF]

Philos Trans A Math Phys Eng Sci
Liu F, Brackmann L, Zhao X, Du N, Waser R, Menzel S.   +5 more
europepmc   +1 more source

Reconfigurable Logic‐in‐Memory Operations Enabled by Triple‐Gated Feedback Field‐Effect Transistors for Area‐Efficient Computing

Advanced Engineering Materials, Volume 28, Issue 15, 5 August 2026.
A reconfigurable logic‐in‐memory cell composed of triple‐gated feedback field‐effect transistors implements multiple combinational logic functions within a single configuration. By utilizing program gates as dynamic input terminals, the proposed cell performs full adder, full subtractor, 2‐to‐1 multiplexer, and 4‐to‐2 encoder operations without ...
Minhyeok Seol, Yunwoo Shin, Donghyung Lee, Dongki Kim, Kyoungah Cho, Sangsig Kim   +5 more
wiley   +1 more source

Organic Electrochemical Transistors for Neuromorphic Devices and Applications. [PDF]

Adv Mater
Xiang K, Song J, Liu H, Chen J, Yan F.
europepmc   +1 more source

Application of a low‐cost Geiger–Müller monitoring system for clinical radiation environments

Journal of Applied Clinical Medical Physics, Volume 27, Issue 8, August 2026.
Abstract Background Low‐cost Geiger–Müller detectors may support clinical radiation monitoring, but their response varies with radiation type and measurement conditions. Purpose To evaluate an Arduino‐based Geiger–Müller monitoring system in representative clinical radiation environments and determine whether condition‐specific calibration reduces ...
Jungsam Choi, Chaihong Rim, Hakyoung Kim, Wonho Lee   +3 more
wiley   +1 more source

Algorithm-hardware co-design of neuromorphic networks with dual memory pathways. [PDF]

Nat Mach Intell
Sun P, Su Z, Achterberg J, Indiveri G, Goodman DFM, Akarca D.   +5 more
europepmc   +1 more source

Oxygen‐Tunnel Indium Tin Oxide Vertical Channel Transistors with Enhanced Current Density and Reliability for Monolithic 3D Compute‐In‐Memory Systems

Advanced Functional Materials, Volume 36, Issue 66, 17 August 2026.
Oxygen‐tunnel (OT) indium tin oxide (ITO) vertical channel transistors (VCTs) enable reliable, high‐density gain‐cell memory for monolithic 3D integration. A sandwiched SiN/SiO2/SiN OT stack selectively regulates oxygen transport, suppressing parasitic electrode oxidation while stabilizing channel oxygen vacancies, thereby suppressing carrier injection
Hyeonho Gu, Haksoon Jung, Yongwoo Lee, Hoichang Jeong, Yanfeng Zhao, Heesoo Yang, Minho Park, Hyeonjin Lee, Seunghun Baek, Minju Song, Junghwan Kim, Youngmin Jo, Hyunjin Park, Munhyeon Kim, Jae‐Joon Kim, Kyuho Jason Lee, Byungjo Kim, Jimin Kwon   +17 more
wiley   +1 more source

Interfacial Electronic Charge Trapping and Photonic Carrier Excitation Coupling in Solution-Processed Zinc-Tin Oxide Thin-Film Transistors Applied for Logic Gate Design and Quantized Neural Network. [PDF]

ACS Appl Mater Interfaces
Chang PH, Lin WY, Huang YC, Chen YC, Shih LC, Chen JS.   +5 more
europepmc   +1 more source

Flanking‐Group Engineering Unlocks Emerging Functionalities in Diketopyrrolopyrrole Semiconductors

Advanced Science, Volume 13, Issue 46, 17 August 2026.
This review presents a comprehensive and unified perspective of flanking‐group engineering in Diketopyrrolopyrrole (DPP) based organic semiconductors that connects molecular‐level design with cross‐device functionalities. By integrating insights from molecular design, solid‐state packing, and device physics, this review seeks to establish general ...
Xiaoyun Wu, Shanshan Zhou, Meng Li, Aung Ko Ko Kyaw, Xiao‐Lei Shi, Qian Liu   +5 more
wiley   +1 more source

IGZO-Based Electronic Device Application: Advancements in Gas Sensor, Logic Circuit, Biosensor, Neuromorphic Device, and Photodetector Technologies. [PDF]

Micromachines (Basel)
Han Y, Seo J, Lee DH, Yoo H.
europepmc   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, Volume 2, Issue 4, August 2026.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source