Results 61 to 70 of about 22,014 (257)

Piezoresistive Monitoring of Carbon Nanomaterial‐Reinforced Epoxy Composites Under Cyclic and Fatigue Loading: A Review

Advanced Engineering Materials, EarlyView.
Carbon nanomaterial‐reinforced epoxy composites exhibit pronounced piezoresistive behavior, enabling intrinsic damage sensing under cyclic and fatigue loading. This review critically compares carbon nanotube and graphene systems, correlating filler content, percolation threshold, and gauge factor with sensing stability and damage evolution.
J. M. Parente, J. Nunes‐Pereira, A. P. Silva, P. N. B. Reis   +3 more
wiley   +1 more source

A FerroFET-Based In-Memory Processor for Solving Distributed and Iterative Optimizations via Least-Squares Method

IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, 2019
In recent years, several designs that use in-memory processing to accelerate machine-learning inference problems have been proposed. Such designs are also a perfect fit for discrete, dynamic, and distributed systems that can solve large-dimensional ...
Insik Yoon, Muya Chang, Kai Ni, Matthew Jerry, Samantak Gangopadhyay, Gus Henry Smith, Tomer Hamam, Justin Romberg, Vijaykrishnan Narayanan, Asif Khan, Suman Datta, Arijit Raychowdhury   +11 more
doaj   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Combined physical unclonable function circuit implementation for generation true random number sequences

Доклады Белорусского государственного университета информатики и радиоэлектроники, 2019
The possibility of using two physical unclonable functions (based on static random access memory and on the ring oscillators) to produce true random number sequences was investigated.
S. S. Zalivako, A. A. Ivaniuk
doaj  

Tuning the Dielectric Properties of Individual Clay Nanosheets by Interlayer Composition: Toward Nano‐Electret Materials

Advanced Functional Materials, EarlyView.
The dielectric properties of clays are studied on the level of individual monolayers and functional double stacks. The material breakdown characteristics and charge storage performance are analyzed. For illustration, a defined charge pattern representing a cuneiform character is produced, written into a microscopic clay tile, referencing the origins of
Sebastian Gödrich, Paul Markus, Matthias Stöter, Bernhard Biersack, Rainer Schobert, Josef Breu, Georg Papastavrou   +6 more
wiley   +1 more source

Smart, Bio‐Inspired Polymers and Bio‐Based Molecules Modified by Zwitterionic Motifs to Design Next‐Generation Materials for Medical Applications

Advanced Functional Materials, EarlyView.
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz, Jonas De Breuck, Sahar Salehi, Meike N. Leiske   +3 more
wiley   +1 more source

DESIGN AND ANALYSIS OF STATIC RANDOM ACCESS MEMORY BY SCHMITT TRIGGER TOPOLOGY FOR LOW VOLTAGE APPLICATIONS [PDF]

Journal of Engineering Science and Technology, 2016
Aggressive scaling of transistor dimensions with each technology generation has resulted an increased integration density and improved device performance at the expense of increased leakage current.
RUKKUMANI V., DEVARAJAN N.
doaj  

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Radiation tolerant capacitor-SRAM without area overhead

Nuclear Engineering and Technology
In memory semiconductors such as a static random access memory (SRAM), a common problem is soft errors under radiation environment. These soft errors cause bit flips, which are referred to as single event upsets (SEUs). Some radiation-hardened SRAM cells
Eunju Jo, Hosang Yoon, Hongjoon Park, Woo-young Choi, Inyong Kwon   +4 more
doaj   +1 more source

A Termite‐Inspired Alternative to Cement

Advanced Functional Materials, EarlyView.
A termite‐inspired composite of clay, cellulose, and lignin forms a dense fibrous network with concrete‐like strength (32 MPa) and superior elasticity, processed at ambient temperature. Abstract Clay combined with organic materials is used by termites as a strong and durable construction material for their mounds with minimal environmental impact. Here,
Oren Regev, Peter Fratzl, Emeline Raguin, Markus Antonietti   +3 more
wiley   +1 more source