Results 101 to 110 of about 4,900,567 (209)

Adaptive Cellular Responsiveness to Electrical Stimulation at the Skin‐Electrode Interface

Advanced Science, EarlyView.
This study presents an adaptive bioelectronic response in which sustained electrical stimulation (ES) upregulates voltage‐gated calcium channels (VGCCs) and enhances cellular sensitivity to subsequent ES at the skin‐device interface. VGCC‐associated adaptive sensitization promotes regenerative wound‐healing responses in vivo, including accelerated ...
Yeon Jae Chang, Soon Jin Choi, Khandoker Asiqur Rahaman, Tae Kyoung Lee, Gwangbin Lee, Jaeyeon Jun, Hyeon‐Jeong Lee, Hophil Min, Hojeong Jeon, Jung Keun Hyun, Hyung‐Seop Han, Jimin Park   +11 more
wiley   +1 more source

On random variational-like inclusion involving relaxed monotone random operators

, 2017
: The study was conducted with the aim to find out random variationallike inclusion involving relaxed monotone, random operators in Hilbert space and construct a new iterative algorithm.
S Shakaib Irfan, M Firdosh Khan, Zeid I Al-Muhiameed   +2 more
core  

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

Efficient In‐Hardware Matrix–Vector Multiplication and Addition Exploiting Bilinearity of Schottky Barrier Transistors Processed on Industrial FDSOI

Advanced Electronic Materials, EarlyView.
ABSTRACT Machine learning and Artificial Intelligence (AI) tasks have stretched traditional hardware to its limits. In‐hardware computation is a novel approach that aims to run complex operations, such as matrix–vector multiplication, directly at the device level for increased efficiency.
Juan P. Martinez, Niladri Bhattacharjee, Yuxuan He, Giulio Galderisi, Brojogopal Sapui, Sara Mannaa, Ian O'Connor, Violetta Sessi, Peter Javorka, Thomas Mikolajick, Jens Trommer   +10 more
wiley   +1 more source

Exploiting Temperature Effects for Robust Control and Reference Circuits Using Thin‐Film Contact‐Controlled Transistors

Advanced Electronic Materials, EarlyView.
Compact circuits based on contact‐controlled transistors are well‐suited to unsupervised thermal management, sensitive temperature measurement, or temperature‐stable current references. Demonstrated on flexible microcrystalline silicon and supported by simulation, the approach does not require supply voltage regulation, remains manufacturable across ...
Eva Bestelink, Jean‐Charles Fustec, Olivier de Sagazan, Rogier Fransen, George Bairaktatis, Emmanuel Jacques, Radu A. Sporea   +6 more
wiley   +1 more source

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

Advanced Electronic Materials, EarlyView.
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali, David Lehninger, Florencio Sánchez, Ignasi Fina   +3 more
wiley   +1 more source

A new system of nonlinear variational inclusions with (Ai , ni)-accretive operators in Banach spaces

, 2012
In this paper, we introduce and study a new system of nonlinear variational inclusions with (A, n)-accretive operators in Banach spaces. Using the resolvent operator technique associated with (A, n)-accretive operator, we prove the existence and ...
Husna Zayadi
core  

Predictable and Scalable Analog Matrix–Vector Multiplication in Memristor Crossbars via Closed‐Form Wire‐Resistance Compensation

Advanced Electronic Materials, EarlyView.
Wire resistance and sneak paths severely compromise the performance of large memristor crossbars. A predictive closed‐form distributed line‐resistance model, combined with a fourmatrix geometry‐averaging algorithm, eliminates these parasitic limitations.
Davide Rossetti, Yichun Xu, Ludovica Asselta, J. Joshua Yang, R. Stanley Williams, Fernando Corinto   +5 more
wiley   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source

A novel exponential tension field for salt-and-pepper image denoising. [PDF]

Sci Rep
Kazemi Torbaghan SM, Jajarmi A, Jouybari Moghaddam Y, Kazemian Torbaghan SF.   +3 more
europepmc   +1 more source