Results 51 to 60 of about 26,331 (111)

LOW POWER AND IMPROVED SPEED 1T DRAM USING DYNAMIC LOGIC [PDF]

Journal of Engineering Science and Technology, 2018
The new trend of the DRAM design is to characterize by its reliability, delay, low power dissipation, and area. This paper dealt with the design of 1-bit DRAM and efficient implementation of a sense amplifier.
T. NIRMALRAJ, S. K. PANDIYAN, C. SENTHILPARI   +2 more
doaj  

Non-destructive read 1T-DRAM with p–n junction gate for overcoming scaling limitations [PDF]

AIP Advances
This paper presents a p–n junction gate dynamic random-access memory (DRAM) architecture that addresses the scaling limitations of conventional 1T1C DRAM and the structural challenges of capacitor-less 1T0C and 2T0C designs. The proposed device employs a
Eungi Hwang, Jun Lee, Jang Hyun Kim, Sangwan Kim, Ilho Myeong, Garam Kim   +5 more
doaj   +1 more source

Metabolic Potential of Candidatus Saccharimonadia Including Rare Lineages in Activated Sludge

Environmental Microbiology Reports, Volume 17, Issue 6, December 2025.
Candidatus Saccharimonadia is ubiquitously found in activated sludge processes, but its ecophysiological characteristics remain poorly understood. Metagenome analysis of Ca. Saccharimonadia in size‐fractionated activated sludge revealed that the epiparasitic lifestyle may extend to diverse lineages of Ca.
Shuka Kagemasa, Kyohei Kuroda, Ryosuke Nakai, Mikiko Sato, Yu‐You Li, Kengo Kubota   +5 more
wiley   +1 more source

A Novel One-Transistor Dynamic Random-Access Memory (1T DRAM) Featuring Partially Inserted Wide-Bandgap Double Barriers for High-Temperature Applications

Micromachines, 2018
These days, the demand on electronic systems operating at high temperature is increasing owing to bursting interest in applications adaptable to harsh environments on earth, as well as in the unpaved spaces in the universe.
Myeongsun Kim, Jongmin Ha, Ikhyeon Kwon, Jae-Hee Han, Seongjae Cho, Il Hwan Cho   +5 more
doaj   +1 more source

Neuromorphic Computing with Memcapacitors: Advancements, Challenges, and Future Directions

Advanced Electronic Materials, Volume 11, Issue 18, November 4, 2025.
Neuromorphic computing reduces energy costs by integrating memory and processing in event‐driven architectures, achieving energy usage as low as 10–30 pJ per operation for memcapacitor‐based synapses. Memcapacitors are reviewed as strong contenders for neuromorphic computing, enhancing AI acceleration through charge‐based computations, high resistance,
Nada AbuHamra, Muhammad Umair Khan, Eman Hassan, Mahmoud Al Qutayri, Baker Mohammad   +4 more
wiley   +1 more source

Investigation of Isolation-Dielectric Effects of PDSOI FinFET on Capacitorless 1T-DRAM

, 2009
The isolation-dielectric effects of a FinFET structure with a partially depleted (PD) silicon-on-insulator (PDSOI) region as a charge storage node on the characteristics of 1T-DRAM are reported in this brief. By introducing the low-permittivity isolation
Kim, Chung-Jin, Han, Jin-Woo, Choi, Yang-Kyu, Ryu, Seong-Wan   +3 more
core   +1 more source

Capacitorless One-Transistor Dynamic Random-Access Memory with Novel Mechanism: Self-Refreshing

Nanomaterials
In this paper, we propose for the first time a self-refreshing mechanism in a junctionless field-effect transistor (JLFET) based on one-transistor dynamic random-access memory (1T-DRAM) with a silicon-on-insulator (SOI) structure.
Sang Ho Lee, Jin Park, Young Jun Yoon, In Man Kang   +3 more
doaj   +1 more source

Optoelectronic Devices for In‐Sensor Computing

Advanced Materials, Volume 37, Issue 23, June 12, 2025.
The raw data obtained directly from sensors in the noisy analogue domain is often unstructured, which lacks a predefined format or organization and does not conform to a specific data model. Optoelectronic devices for in‐sensor visual processing can integrate perception, memory, and processing functions in the same physical units, which can compress ...
Qinqi Ren, Chaoyi Zhu, Sijie Ma, Zhaoqing Wang, Jianmin Yan, Tianqing Wan, Weicheng Yan, Yang Chai   +7 more
wiley   +1 more source

1-Transistor-Dynamic Random Access Memory as Reservoir for Temporal Signal Processing

IEEE Journal on Exploratory Solid-State Computational Devices and Circuits
Reservoir computing (RC), a computational paradigm inspired by the recurrent neural networks (RNNs), offers a promising framework for efficient temporal processing with minimal training overhead.
Md Yasir Bashir, Lalith Adithya Sai C., Shubham Sahay   +2 more
doaj   +1 more source

A Physics‐Based Compact Model for Ferroelectric Capacitors Operating Down to Deep Cryogenic Temperatures for Applications in Analog Memory and Neuromorphic Architectures

Advanced Electronic Materials, Volume 11, Issue 9, June 2025.
A compact model for ferroelectric thin‐film capacitors operating under different electric fields and temperatures is reported. The model can reproduce polarization switching down to 4 K, making them suitable for quantum computing and space technologies.
Ella Paasio, Rikhard Ranta, Sayani Majumdar   +2 more
wiley   +1 more source