Results 71 to 80 of about 540,132 (239)

Defect‐Templated Phase Engineering in Atomically Thin Metals

Advanced Materials, EarlyView.
Graphene defects are transformed from passive imperfections into programmable templates for phase‐selective growth of atomically thin silver. Plasma‐generated boundary defects favor Ag(1), whereas sp3‐rich zero‐layer graphene promotes Ag(2). This defect‐directed intercalation links local graphene chemistry to crystalline phase, electronic structure ...
Arpit Jain, Boyang Zheng, Sawani Datta, Kanchan Ulman, Jakob Henz, Matthew Wei‐Jun Liu, Van Dong Pham, Wen He, Chengye Dong, Li‐Syuan Lu, Alexander Vera, Nader Sawtarie, Wesley Auker, Ke Wang, Bob Hengstebeck, Zachary W. Henshaw, Shreya Mathela, Maxwell Wetherington, William H. Blades, Kenneth Knappenberger, Ursula Wurstbauer, Su Ying Quek, Ulrich Starke, Shengxi Huang, Vincent H. Crespi, Joshua A. Robinson   +25 more
wiley   +1 more source

2D Abrupt Nano‐Junctions Blending sp–sp2 Bonds on Atomically Precise Heterostructures

Advanced Materials, EarlyView.
A lateral heterostructure between atomically precise sp–sp2$^2$ metalated graphdiyne and sp2$^2$ graphene nanoribbons is realized by on‐surface synthesis and investigated by STM and DFT. The impact of on‐surface synthesis byproducts on covalent junction formation yield is unveiled.
Alice Cartoceti, Simona Achilli, Masoumeh Alihosseini, Adriana E. Candia, Enrico Beltrami, Paolo D'Agosta, Alessio Orbelli Biroli, Francesco Sedona, Andrea Li Bassi, Jorge Lobo‐Checa, Carlo S. Casari   +10 more
wiley   +1 more source

Kernel Methods for Discrete-Time Linear Equations [PDF]

, 2019
Methods from learning theory are used in the state space of linear dynamical systems in order to estimate the system matrices and some relevant quantities such as a the topological entropy.
Boumediene Hamzi, Fritz Colonius
openaire   +3 more sources

An Illustration on the Quantile-Based Calculation of the Standard Error of Equating in Kernel Equating

, 2021
Liou and Cheng (J Educ Behav Stat 20(3):259–286, 1995) discussed large-sample approximations for the standard error of equating (SEE) using the results of Bahadur (Ann Math Stat 37(3):577–580, 1966) and Ghosh (Ann Math Stat 42(6):1957–1961, 1971) on the ...
Wallin, Gabriel, González Burgos, Jorge Andrés, Jorge González, Gabriel Wallin   +3 more
core   +1 more source

Atomically Precise Ag11 and Ag12 Nanocluster‐Assembled 2D Materials for Memristive and Neuromorphic Functionality

Advanced Materials, EarlyView.
Two‐dimensional Ag11 and Ag12 cluster‐assembled materials (CAMs) are synthesized, offering atomically precise platforms with tunable electronic properties. The resulting materials exhibit robust memristive switching and neuromorphic response, demonstrating their promise for advanced nanoelectronic and memory applications.
Noohul Alam, Towhidur Rahaman, Céline Besnard, Arnulf Rosspeintner, Latevi Max Lawson Daku, Saood Khan, Soumya Jyoti Ray, Thomas Bürgi   +7 more
wiley   +1 more source

Memristive Motion‐Streak Neuron for Spatiotemporal Multiple Object Detection

Advanced Materials, EarlyView.
This work proposes motion‐streak neuron hardware using amorphous In–Ga–Zn–O optoelectronic memristors and dynamic memristors for spatiotemporal multiple‐object detection. The motion streak neuron array processes optical and electrical stimuli, allowing speed‐dependent filament relaxation to encode motion trajectories.
Hyungjun Park, Jin Hong Kim, Hyun Wook Kim, Néstor Ghenzi, Sung Keun Shim, Joon‐Kyu Han, Min Jung Chung, Dong Hoon Shin, Kyung Seok Woo, Cheol Seong Hwang   +9 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

Lab‐in‐a‐Tube System Integrating Hierarchically Wrinkled Electrodes and DNAzyme‐Functionalized Beads for Diagnosis of Clostridioides difficile Infection

Advanced Materials, EarlyView.
The point‐of‐care diagnosis of Clostridioides difficile infection remains challenging due to reliance on slow culture and amplification‐based methods. A lab‐in‐a‐tube electrochemical biosensor integrating DNAzymes, antifouling magnetic beads, and a hierarchically structured flow cell enables amplification‐ and culture‐free detection directly in stool ...
Survanshu Saxena, Soyeon Lee, Youngeun Choi, Jonathan L'Heureux‐Hache, Jiaying Liu, Sadman Sakib, Sara M. Imani, Marek Smieja, Yingfu Li, Todd Hoare, Leyla Soleymani   +10 more
wiley   +1 more source

Large‐Scale and Cost‐Effective Fabrication of Ultra‐Thin, Biodegradable Microelectrode Arrays and Pressure Sensors Using Laser Micromachining

Advanced Materials Technologies, EarlyView.
A mask‐free and cost‐effective UV‐pico‐second laser‐based microfabrication method is proposed to fabricate large‐area biodegradable microelectrode arrays and pressure sensors. These devices demonstrate low impedance, good conformability, excellent biocompatibility, and rapid degradation, providing a new route for next‐generation transient electronics ...
Bhavani Prasad Yalagala, Asfand Tanwear, María Cerezo‐Sánchez, Hossein Parvizi, Morteza Amjadi, Hadi Heidari   +5 more
wiley   +1 more source

Directional Latent Hybridization: Beyond Random Noise in Physics‐Informed Generative Inverse Design of Nonlinear Metamaterials

Advanced Materials Technologies, EarlyView.
A physics‐informed generative framework introduces Directional Latent Hybridization (DLH) for the deterministic inverse design of nonlinear metamaterials. By hybridizing dominant traits from parent geometries in the latent space, DLH overcomes the instabilities of stochastic models to ensure high structural precision at high densities.
Semin Ahn, Jun Young Choi, Sung‐Hoon Ahn   +2 more
wiley   +1 more source