Results 181 to 190 of about 15,714,929 (285)

Mechanics-informed risk-aware learning for multiaxial structural reliability with Bayesian calibration. [PDF]

Commun Eng
Zhang G, Yu X, Song A, Liu H, Lin X, Zhang X, Wang Q, Wang W, Zhang P.   +8 more
europepmc   +1 more source

A Multi‐Scale Computational Framework for Evaluating Wireless Neuromodulation Feasibility via Magnetoelectric Nanoparticles

Advanced Science, EarlyView.
A multiscale computational framework links single‐nanoparticle magnetoelectric behavior to tissue‐level electric field distributions, integrating experimental data from nanoparticle characterization and in vitro stimulation setups. Applied to a cortical slice configuration, the framework predicts optimal MENP concentrations and stimulation parameters ...
Marta Bonato, Elric Zhang, Emma Chiaramello, Serena Fiocchi, Giulia Suarato, Valentin Gantenbein, Nathalia Cancino‐Fuentes, Alejandro Suarez‐Perez, Maria V. Sanchez‐Vives, Salvador Pané, Marta Parazzini   +10 more
wiley   +1 more source

Programmable Information Processing With Reconfigurable Self‐Contact Variable Stiffness Mechanical Metamaterial

Advanced Science, EarlyView.
Reconfigurable self‐contact variable stiffness metamaterials based on shape memory polymers enable programmable stiffness switching. Static arrays store and encrypt information with immunity to electromagnetic interference, while asymmetric stiffness converts symmetric vibration into directional matter transport.
Huadong Qin, Wenyu Zhu, Xin Wang, Cheng Shen, Li Cheng, Tian Jian Lu, Terence Xiaoteng Liu, Han Meng   +7 more
wiley   +1 more source

A 3D‐Printed SFE‐Graded Alloy Mitigates Cryogenic Discontinuous Plastic Flow and Hydrogen Embrittlement

Advanced Science, EarlyView.
A novel strategy features gradient composition and stacking fault energy‐tuned (CoCrMn)100‐2xFexNix fabricated via in situ alloying additive manufacturing. This design circumvents cryogenic discontinuous plastic flow and hydrogen embrittlement of metallic materials under quasi‐static loading and hydrogen‐rich environment relevant to lunar polar ...
Renhao Wu, Ao Geng, Peihao Geng, Hyojin Park, Eun Seong Kim, Sang‐Ho Oh, Stephan Schönecker, Xiaoqing Li, Tianlong Zhang, Shuhui Li, Byeong‐Joo Lee, Hyoung Seop Kim   +11 more
wiley   +1 more source

Updatable Closed‐Form Evaluation of Arbitrarily Complex Multiport Network Connections

Advanced Electronic Materials, EarlyView.
The inverse design of electrically large wave devices often uses reduced‐order multiport models with discrete optimization, requiring many evaluations of complex interconnections between subsystems that differ only in a few blocks. This paper introduces a closed‐form framework enabling efficient Woodbury low‐rank updates of related, previous ...
Hugo Prod'homme, Philipp del Hougne
wiley   +1 more source

Computational modeling of vehicle-bridge interaction with experimental validation under moving loads for structural health monitoring. [PDF]

Sci Rep
Valašková V, Kotrasova K.
europepmc   +1 more source

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

On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification

Advanced Electronic Materials, EarlyView.
ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels, Duna Wattad, Ronny Ronen, David Saad, Shahar Kvatinsky   +4 more
wiley   +1 more source

Dynamic image-informed selection of biomechanical tumor growth models. [PDF]

Biomech Model Mechanobiol
Noman AA, Singh PK, Hormuth DA, Faghihi D.   +3 more
europepmc   +1 more source

Highly‐Uniform Passive Crossbar Arrays of Resistive Switching Random Access Memory (RRAM) for In‐Memory Computing Applications

Advanced Electronic Materials, EarlyView.
Passive resistive memory arrays promise efficient in‐memory computing but suffer from sneak paths and programming variability. Here, highly uniform 32 × 32 passive RRAM crossbars are programmed with multilevel precision below 3% error and 99.5% yield.
S. Ricci, P. Mannocci, M. Porzani, D. Bridarolli, F. Carletti, M. Farronato, D. Ielmini   +6 more
wiley   +1 more source