Results 61 to 70 of about 11,760,268 (229)

Triple‐Level Content‐Addressable Vertical NAND Flash Memory

Advanced Science, EarlyView.
Commercial triple‐level‐cell V‐NAND flash memory is transformed into a compact content‐addressable memory by directly exploiting its eight threshold‐voltage states. A parity‐split search scheme preserves storage density while enabling reliable multi‐level and don't‐care matching. Parallel word‐line search delivers up to 24‐fold higher throughput and 54.
Sung‐Ho Park, Jiseong Im, Yeongheon Yang, Ryun‐Han Koo, Jonghyun Ko, Mingyun Oh, Dongbeen Shin, Gyuweon Jung, Jong‐Ho Lee   +8 more
wiley   +1 more source

Passive Metasurface Tweezers for Multi‐Scale Orbital Transport and Trapping on Elastic Plates

Advanced Science, EarlyView.
Passive labyrinthine phase encoding converts single‐channel excitation into localized flexural‐wave vortices with programmable orbital angular momentum. The resulting vortex fields enable cross‐scale particle manipulation, including orbital transport, central confinement, and rotational actuation.
Zeyang Bi, Zhiqiang Li, Yunkang Ren, Yugui Peng, Xuefeng Zhu, Liuxian Zhao, Jun Yang, Chuanxing Bi   +7 more
wiley   +1 more source

Developing geometric criteria to ensure Minimal Risk Conditions for highly automated vehicles

Transportation Research Interdisciplinary Perspectives
Connected and Automated Vehicles (CAVs) represent a transformative technology with the potential to significantly enhance road safety and improve mobility for all users.
Alfredo García, F. Javier Camacho-Torregrosa, David Llopis-Castelló, Vicente Ferrer-Pérez, David McDonald   +4 more
doaj   +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

A Dual‐Branch Flux‐Based Extended Memristor Model With Machine‐Learning‐Assisted Calibration

Advanced Electronic Materials, EarlyView.
Multilayer oxide memristors integrated in crossbar arrays are described through a dual‐branch, flux‐controlled compact model. A three‐stage calibration workflow combining Latin hypercube sampling, Bayesian optimization, and gradient‐based refinement extracts device parameters from experimental data.
Davide Rossetti, K. Nikiruy, A.S. Demirkol, Alon Ascoli, M. Ziegler, R. Tetzlaff, Fernando Corinto   +6 more
wiley   +1 more source

Nonlinear Dynamics and Invariants of Motion in ReRAM Cells

Advanced Electronic Materials, EarlyView.
A second‐order cell, hosting one capacitor and two back‐to‐back ReRAMs, admits Invariants of Motion: its states lie on one‐dimensional manifolds at all times. The cell shows quiescent monostability or bistability, depending on the manifold index. At equilibrium, the capacitor voltage vanishes.
Mauro Di Marco, Mauro Forti, Luca Pancioni, Giacomo Innocenti, Alberto Tesi, Alon Ascoli   +5 more
wiley   +1 more source

Virtual Validation and Uncertainty Quantification of an Adaptive Model Predictive Controller-Based Motion Planner for Autonomous Driving Systems

Future Transportation
In the context of increasing research on algorithms for different modules of the autonomous driving stack, the development and evaluation of these algorithms for deployment onboard vehicles is the next critical step.
Mohammed Irshadh Ismaaeel Sathyamangalam Imran, Satyesh Shanker Awasthi, Michael Khayyat, Stefano Arrigoni, Francesco Braghin   +4 more
doaj   +1 more source

Intrinsic paramagnetic Meissner effect due to s-wave odd-frequency superconductivity [PDF]

, 2015
In 1933, Meissner and Ochsenfeld reported the expulsion of magnetic flux-the diamagnetic Meissner effect-from the interior of superconducting lead. This discovery was crucial in formulating the Bardeen-Cooper-Schrieffer (BCS) theory of superconductivity.
Suter, A., Di Bernardo, A., S. L. Lee, Amado, M., A. Di Bernardo, M. G. Blamire, Salman, Z., X. L. Wang, J. Linder, Zhao, J. H., Z. Salman, J. W. A. Robinson, Morenzoni, E., Linder, J., Wang, X. L., Robinson, J. W. A., Blamire, M. G., A. Suter, M. G. Blamire, X. L. Wang, J. H. Zhao, M. Egilmez, J. W. A. Robinson, Flokstra, M. G., Prokscha, T., E. Morenzoni, M. G. Flokstra, M. G. Flokstra, S. L. Lee, M. Amado, J. H. Zhao, Egilmez, M., Lee, S. L., T. Prokscha   +33 more
core   +2 more sources

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

Machine Learning‐Based Estimation of Experimental Artifacts and Image Quality in Fluorescence Microscopy

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of image quality metrics in combination with machine learning enables automatic image quality assessment for fluorescence microscopy images. The method can be integrated into the experimental pipeline for optical microscopy and utilized to classify artifacts in experimental images and to build quality rankings with a reference‐free approach ...
Elena Corbetta, Thomas Bocklitz
wiley   +1 more source