Results 191 to 200 of about 272,983 (328)

Machine Learning for Designing Perovskites and Perovskite‐Inspired Solar Materials: Emerging Opportunities and Challenges

Advanced Science, EarlyView.
This review offers a comprehensive comparison between perovskites and perovskite‐inspired materials (PIMs), focusing on their crystal structures, electronic properties, and chemical compositions. It evaluates the applicability of machine learning (ML) descriptors and models across both material classes.
Yangfan Zhang, Yiming Xia, Ali Shakiba, Hongrui Zhang, Xiaojing Hao, Priyank V. Kumar, Mahesh P. Suryawanshi   +6 more
wiley   +1 more source

Experimental 3-D Ultrasound Imaging with 2-D Sparse Arrays using Focused and Diverging Waves [PDF]

, 2018
Emmanuel Roux, François Varray, Lorena Petrusca, Christian Cachard, Piero Tortoli, Hervé Liebgott   +5 more
openalex   +1 more source

Investigating Phase Separation in Genome Folding via Multiscale Computational Modeling

Advanced Science, EarlyView.
Phase separation is emerging as a multiscale organizing principle of genome folding across scales, from nucleosomes and transcriptional condensates to chromatin domains and nuclear compartments. By integrating physics‐based simulations with data‐driven inference, computational modeling now links molecular interactions to nuclear architecture and points
Jiahu Tang, Cibo Feng, Haibin Su, Xiakun Chu   +3 more
wiley   +1 more source

Sparse array angle estimation using reduced-dimension ESPRIT-MUSIC in MIMO radar. [PDF]

ScientificWorldJournal, 2013
Zhang C, Pang Y.
europepmc   +1 more source

Non‐Uniform Space‐Time‐Coding Modulation for Low‐Complexity Diagnostics of Reconfigurable Intelligent Surfaces

Advanced Electronic Materials, EarlyView.
A diagnostic method for reconfigurable intelligent surfaces (RIS) based on non‐uniform space‐time‐coding modulation is presented. Fault localization is achieved via amplitude‐only spectral measurements, eliminating the need for complex signal processing. A one‐to‐one mapping between harmonic components and RIS elements enables accurate detection.
Xiao Qing Chen, Lei Zhang, Yi Ning Zheng, Bing Bing Zhu, Marco Rossi, Giuseppe Castaldi, Shuo Liu, Vincenzo Galdi, Tie Jun Cui   +8 more
wiley   +1 more source

Sparse aperiodic arrays for optical beam forming and LIDAR

, 2017
Tin Komljenović, Roger Helkey, L.A. Coldren, John E. Bowers   +3 more
openalex   +1 more source

Neural Information Processing and Time‐Series Prediction with Only Two Dynamical Memristors

Advanced Electronic Materials, EarlyView.
The present study demonstrates how simple circuits with only two memristive devices are utilized to perform high complexity temporal information processing tasks, like neural spike detection in noisy environment, or time‐series prediction. This circuit simplicity is enabled by the dynamical complexity of the memristive devices, i.e.
Dániel Molnár, Tímea Nóra Török, János Volk, Roland Kövecs, László Pósa, Péter Balázs, György Molnár, Nadia Jimenez Olalla, Zoltán Balogh, János Volk, Juerg Leuthold, Miklós Csontos, András Halbritter   +12 more
wiley   +1 more source

Footprint Sharing Sparse Arrays for 20 and 30 GHz

, 2016
Johan Wettergren, Svensson Marika, Carlo Bencivenni   +2 more
openalex   +1 more source

Sparse Linear Array Synthesis Using Exponential Analysis

, 2023
Ramonika Sengupta, Annie Cuyt, David Prinsloo, Lukas M. Nystrom, A.B. Smolders   +4 more
openalex   +2 more sources

Recent Progress and Opportunities in Oxide Semiconductor Devices for In‐Memory and Neuromorphic Computing

Advanced Electronic Materials, EarlyView.
This review surveys oxide‐semiconductor devices for in‐memory and neuromorphic computing, highlighting recent progress and remaining challenges in charge‐trap, ferroelectric, and two‐transistor devices. Oxide semiconductors, featuring ultra‐low leakage, low‐temperature processing, and back‐end‐of‐line compatibility, are explored for analog in‐memory ...
Suwon Seong, Taejun Ha, Sangwook Jung, Wontae Jeong, Yoonyoung Chung   +4 more
wiley   +1 more source