Results 81 to 90 of about 36,296 (265)

Brain‐Computer Interface Training Fosters Perceptual Skills to Detect Errors

Advanced Science, EarlyView.
Accurate perception of visuomotor errors underpins motor precision and learning, yet conventional behavioral training fails to improve sensitivity to subtle errors. Real‐time EEG‐based brain‐computer interface feedback targeting the error positivity component enhances perceptual learning of small errors.
Deland H. Liu, Fumiaki Iwane, Minsu Zhang, Leonardo G. Cohen, José del R. Millán   +4 more
wiley   +1 more source

Volatile ZrO2 Antiferroelectric Tunnel Junctions for Rapid, Energy‐Efficient Physical Reservoir Computing

Advanced Science, EarlyView.
An antiferroelectric tunnel junction serves as a reservoir computing node, where field‐induced phase transitions and spontaneous ZrO2 relaxation deliver nonlinear fading memory. An In‐Ga‐Zn oxide interlayer enlarges the memory margin and multibit state richness.
Taegyu Kwon, Moonseek Jeong, Su In Hwang, Geun Hyeong Park, Joonyong Kim, Hyojun Choi, Hyeong Seok Choi, Da Hyun Kim, Dong Hee Han, Ju Yong Park, Seungho Baek, Jung Ho Yoon, Dong Hyun Lee, Min Hyuk Park   +13 more
wiley   +1 more source

Asymptotic behavior of a discrete-time density-dependent SI epidemic model with constant recruitment. [PDF]

J Appl Math Comput, 2021
KulenoviĆ MRS, NurkanoviĆ M, Yakubu AA.   +2 more
europepmc   +1 more source

Asymptotic behavior of random heaps [PDF]

Random Structures & Algorithms, 2005
AbstractWe consider a random walk Wn on the locally free group (or equivalently a signed random heap) with m generators subject to periodic boundary conditions. Let #T(Wn) denote the number of removable elements, which determines the heap's growth rate. We prove that limn→∞𝔼(#T(Wn))/m ≤ 0.32893 for m ≥ 4.
openaire   +2 more sources

Low‐Power Control Of Resistance Switching Transitions in First‐Order Memristors

Advanced Electronic Materials, EarlyView.
Joule losses are a serious concern in modern integrated circuit design. In this regard, minimizing the energy necessary for programming memristors should be handled with care. This manuscript presents an optimal control framework, allowing to derive energy‐efficient programming voltage protocols for resistance switching devices. Following this approach,
Valeriy A. Slipko, Alon Ascoli, Fernando Corinto, Yuriy V. Pershin   +3 more
wiley   +1 more source

New Criteria on Oscillatory and Asymptotic Behavior of Third-Order Nonlinear Dynamic Equations with Nonlinear Neutral Terms. [PDF]

Entropy (Basel), 2021
Grace SR, Alzabut J, Özbekler A.
europepmc   +1 more source

Asymptotic Behavior of the Daubechies Filters

Applied and Computational Harmonic Analysis, 1995
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kateb, Djalil, Lemarie-Rieusset, Pierre Gilles   +1 more
openaire   +1 more source

Electrodeposited Piezoelectric Chitosan Films: A New Approach Toward a Scalable and Standardized Fabrication of Sensors

Advanced Electronic Materials, EarlyView.
Electrodeposition is explored as an innovative and scalable approach to fabricate standardized and highly piezoelectric chitosan films. Chitosan deposition is driven onto gold‐coated silicon plates by an applied voltage. Films’ piezoelectricity is clearly proved and correlated to the material structural order.
Valeria D'Errico, Gaia de Marzo, Antonio Qualtieri, Massimo De Vittorio   +3 more
wiley   +1 more source

The Asymptotic Behavior of Nonlinear Eigenvalues

Rocky Mountain Journal of Mathematics, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +4 more sources

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source