Results 81 to 90 of about 156,386 (347)

3D‐Printed Gradient Shape‐Memory Strain Sensors With Rewritable Gauge Factors

Advanced Functional Materials, EarlyView.
A 3D‐printed shape‐memory strain sensor combines thermomechanical programming with gradient architectural design. Preset strain rewrites the gauge factor (GF), while the gradient geometry amplifies the response through strain redistribution. Reprogrammable sensitivity enables the same sensor to detect weak pulse signals and monitor large‐amplitude ...
Xuan Zhang, Wenjie Qiao, Kaixin Jiang, Sherry Chen, Hanyu Cui, Kirsten Dyer, Xuefeng Zhu, Ting Wang, Xuehua Zhang, Ben Bin Xu, Jie Kong   +10 more
wiley   +1 more source

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

Quantum State Combinatorics

Entropy
This paper concerns the analysis of large quantum states. It is a notoriously difficult problem to quantify separability of quantum states, and for large quantum states, it is unfeasible.
Gregory D. Scholes
doaj   +1 more source

Determination of Spatial-Temporal Correlation Structure of Troposphere Ozone Data in Tehran City [PDF]

Journal of Sciences, Islamic Republic of Iran, 2013
Spatial-temporal modeling of air pollutants, ground-level ozone concentrations in particular, has attracted recent attention because by using spatial-temporal modeling, can analyze, interpolate or predict ozone levels at any location.
S.S. Mousavi, M. Mohammadzadeh
doaj  

MILK AND MILK PRODUCTS AS AN OBJECT OF CENTRIFUGAL SEPARATION

Вестник Северо-Кавказского федерального университета, 2022
The properties of milk, condensed milk and reconstituted milk that are determining the value of separability of disperse systems in these products, namely the density of plasma and disperse particles, the viscosity ofplasma and disperse structure ...
Khazbi Sugarov, Evgeny Chebotarev, Aleksandr Malsugenov   +2 more
doaj  

Revealed Demand for Country-of-Origin Labeling of Meat in the United States

Journal of Agricultural and Resource Economics, 2013
Proponents of the U.S. mandatory country-of-origin labeling (MCOOL) law have argued that consumers prefer domestic meat and value labels confirming domestic origin. Following legislation enacted in March 2009, an ex post analysis of demand is possible to
Mykel R. Taylor, Glynn T. Tonsor
doaj   +1 more source

Deciding Piecewise Testable Separability for Regular Tree Languages

International Colloquium on Automata, Languages and Programming, 2016
The piecewise testable separability problem asks, given two input languages, whether there exists a piecewise testable language that contains the first input language and is disjoint from the second.
J. Goubault-Larrecq, Sylvain Schmitz
semanticscholar   +1 more source

Separation logic [PDF]

Communications of the ACM, 2019
Separation logic is a key development in formal reasoning about programs, opening up new lines of attack on longstanding problems.
openaire   +2 more sources

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Descriptors to Dynamics: A Materials and Device Perspective on in‐Materio Physical Reservoir Computing for Neuromorphic Edge Intelligence

Advanced Materials, EarlyView.
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh, Alif Syafiq Kamarol Zaman, Muzhen Xu, Yuki Usami, Saptarshi Das, Hirofumi Tanaka   +5 more
wiley   +1 more source