Results 111 to 120 of about 17,368,081 (283)

Learning optimal erasure of a Static Random Access Memory

In this paper, we study the thermodynamic cost associated with erasing a static random access memory. By combining the stochastic thermodynamics framework of electronic circuits with machine learning-based optimization techniques, we show that it is ...
Proesmans, Karel, Basile, Tomas
core  

Programming Neuromorphic Plasticity Through Ionic and Electronic Coupling in Organic Electrochemical Transistors

Advanced Functional Materials, EarlyView.
Neuromorphic plasticity in OECTs is governed by the post‐stimulus evolution of coupled ionic and electronic states. Semiconductor chemistry and morphology, electrolyte composition and interfaces, and device architecture regulate ion injection, transport, confinement, and release, shifting responses from rapidly relaxing STP to metastable memory and ...
Inho Lee, Hyoik Jang, Ji Hwan Kim, Jonghyun Won, Namhee Kim, Wonseok Shin, Giwon Lee, Eunho Lee, Daegun Kim, Sungjun Park   +9 more
wiley   +1 more source

M3D-MDA: New scratchpad memory for enhancing GPU performance and energy efficiency

ETRI Journal
Applications in various fields, such as deep learning and scientific computing, naturally exhibit data access patterns along both the row and column dimensions of static random access memory (SRAM).
Cong Thuan Do
doaj   +1 more source

Efficient Magnetization Switching Driven by Orbital Torque in Light 3d Transition‐Metal Nitrides

Advanced Functional Materials, EarlyView.
Efficient magnetization switching is demonstrated through orbital torque generated from light 3d transition‐metal nitride. Transition‐metal nitrides are established as effective sources of orbital angular momentum for current‐induced switching, highlighting their potential for low‐power next‐generation orbitronic devices beyond conventional heavy‐metal‐
Gaurav K. Shukla, Yoshio Miura, Mayank K. Singh, Shinji Isogami   +3 more
wiley   +1 more source

Embedded Memory Hierarchy Exploration Based on Magnetic Random Access Memory

, 2014
Static random access memory (SRAM) is the most commonly employed semiconductor in the design of on-chip processor memory. However, it is unlikely that the SRAM technology will have a cell size that will continue to scale below 45 nm, due to the leakage ...
Senni, Sophiane, Sophiane Senni, Gilles Sassatelli, Luís Cargnini, Raphael Brum, Raphael Martins Brum, Cargnini, Luís Vitório, Torres, Lionel, Luís Vitório Cargnini, Sassatelli, Gilles, Lionel Torres, Brum, Raphael Martins   +11 more
core   +1 more source

Material Coupling in Hybrid Neuromorphic Devices: From Fundamentals to System‐Level Applications

Advanced Functional Materials, EarlyView.
Hybrid neuromorphic devices utilize heterointerfaces between emerging semiconductors, where charge transfer and trapping, ion or defect modulation, and photogating are translated into synaptic functions. This paper discusses coupling strategies that tailor interfacial electronic and ionic properties in organic semiconductors, metal oxides, two ...
Minsu So, Sunwoo Jeong, Youngmin Han, Fabrizio Torricelli, Hocheon Yoo, Junhwan Choi   +5 more
wiley   +1 more source

Is random access memory random? [PDF]

, 1986
Most software is contructed on the assumption that the programs and data are stored in random access memory (RAM). Physical limitations on the relative speeds of processor and memory elements lead to a variety of memory organizations that match processor
Denning, P. J.
core  

Biomimetic Hybrid‐Membrane Nanoreactor for Deep‐Seated Photodynamic Immunotherapy of Hepatocellular Carcinoma via Dual Catalysis‐Enhanced ROS Amplification and cGAS‐STING Activation

Advanced Functional Materials, EarlyView.
UCNP@MnOx‐Hyp@HRM (UMHM) enables tumor targeting and accumulation. Under 808 nm NIR irradiation, PDT/CDT synergistically triggers ICD and cGAS–STING immunity for deep hepatocellular carcinoma therapy. ABSTRACT Photodynamic therapy (PDT) is promising against hepatocellular carcinoma (HCC).
Wen Li, Jianzhang Luo, Pei Lu, Dongqing Liu, Huijun Yi, Xiaoyuan Yi, Bixia Chi, Wen Chen, Qingyu Zeng, Feifei He, Liyan Wang   +10 more
wiley   +1 more source

A review on monolithic 3D integration: From bulk semiconductors to low-dimensional materials

Nano Research
Monolithic three-dimensional (M3D) integration represents a transformative approach in semiconductor technology, enabling the vertical integration of diverse functionalities within a single chip. This review explores the evolution of M3D integration from
Ziying Hu, Hongtao Li, Mingdi Zhang, Zeming Jin, Jixiang Li, Wenku Fu, Yunyun Dai, Yuan Huang, Xia Liu, Yeliang Wang   +9 more
doaj   +1 more source

Biodegradable Conductors for Implantable and Wearable Transient Bioelectronics

Advanced Functional Materials, EarlyView.
Biodegradable conductors are essential building blocks for transient bioelectronics, enabling temporary sensing, stimulation, and energy transfer while eliminating the need for device retrieval. This review summarizes biodegradable metals, conducting polymers, ionic conductors, and conductive composites, highlighting degradation mechanisms, material ...
Yicheng Zhu, Yijun Liu, Naoji Matsuhisa
wiley   +1 more source