Results 91 to 100 of about 9,630 (218)

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

A Single Volatile VO2 Memristor Enabling Neuromorphic Perception, Learning, and Computing

Advanced Electronic Materials, EarlyView.
A single volatile VO2 memristor fabricated via atomic layer deposition is demonstrated as a multifunctional neuromorphic device enabled by intrinsic threshold‐switching dynamics. The device reproduces neuron‐like integration and firing, short‐timescale associative learning, temporal ECG pattern classification, and nociceptive responses to electrical ...
Bingkai Ding, Bohao Ding, Omesh Kapur, Yisong Han, Richard Beanland, Kai Sun, C. H. (Kees) de Groot, Ruomeng Huang   +7 more
wiley   +1 more source

Covalently Locked Donor–Acceptor Block Copolymer Nanoparticles Enable Efficient, Stable and Reproducible Photocatalytic Hydrogen Evolution

Advanced Energy Materials, EarlyView.
To overcome the efficiency–stability trade‐off of traditional donor:acceptor blends, covalently locked all‐conjugated block copolymer nanoparticles are developed for solar hydrogen production. This strategy achieves an outstanding HER rate exceeding 120 mmol cm−2 g−1 h−1, alongside exceptional operational stability (95% retention after 96 h) and high ...
Alexandre Holmes, Qiaonan Chen, Rafael Bicudo Ribeiro, Leandro R. Franco, Soumi Roy, Linnea Lind, Xiaoman Bi, Mateus Bergami, Mathis Mortensen Brette, Lunjie Zeng, Eva Olsson, Bo Albinsson, Márcio T. do N. Varella, C. Moyses Araujo, Ergang Wang   +14 more
wiley   +1 more source

Stellar Occultations in the Era of Data Mining and Modern Regression Models: Using Gaussian Processes to Analyze Light Curves and Improve Predictions

The Planetary Science Journal
Gaussian process (GP) regression is a nonparametric Bayesian approach that has been used successfully in various astronomical domains, especially in time-domain astronomy.
Bastian Knieling, Karsten Schindler, Amanda A. Sickafoose, Michael J. Person, Stephen E. Levine, Alfred Krabbe   +5 more
doaj   +1 more source

Temperature‐Tunable Cholesteric Liquid Crystal Optical Combiners for Extended Reality Applications

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Recent advancements in extended reality highlight their potential to enhance traditional displays like liquid crystal displays and organic light‐emitting diode screens. This article introduces an innovative cholesteric liquid crystal‐based optical combiner for head‐mounted displays, enabling seamless transitions between augmented reality, virtual ...
Yuanjie Xia, Haobo Li, Marija Vaskeviciute, Daniele Faccio, Affar S. Karimullah, Hadi Heidari, Rami Ghannam   +6 more
wiley   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

Advanced Intelligent Systems, EarlyView.
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica, Kostya S. Novoselov, Seongmin Kim, Yousung Jung, Silvana Botti, Miguel A. L. Marques, Tigany Zarrouk, Miguel A. Caro, Sanggyu Chong, Michele Ceriotti, Marivi Fernandez‐Serra, Sara Navarro‐Rodriguez, Aakash Ashok Naik, Janine George, Ömer Hasan Omar, Victor Trinquet, Gian‐Marco Rignanese, Andrey Ustyuzhanin, Sonia Conesa‐Boj, Juan Rojo, Minh‐Tuan Dau, Simon M.‐M. Dubois, Jean‐Christophe Charlier, Jose H. Garcia, Romain Gautier, Rachid Laref, Junfeng Qiao, Giovanni Pizzi, Nicola Marzari, Camilla Coletti, Antonio Rossi, Jan‐Lucas Uslu, Chiara Zanardi, Vincenzo Palermo, Wide Hogenhout, Natalia Konchakova, Peter Klein, Tejs Vegge, Stephan Roche   +38 more
wiley   +1 more source

The Two-zone Temperature Distribution Model: Inferences on the Structure and Composition of Dusty Protoplanetary Disks

The Astrophysical Journal
In order to understand the mineralogy and structure of protoplanetary disks, it is important to analyze them from both an empirical spectrum-based perspective and a radiative transfer image-based perspective.
William Grimble, Joel Kastner, B. Sargent, Keivan G. Stassun   +3 more
doaj   +1 more source

Inferring the Density and Membership of Stellar Streams with Flexible Models: The GD-1 Stream in Gaia Data Release 3

The Astrophysical Journal
Stellar streams provide one of the most promising avenues for constraining the global mass distribution of the Milky Way and the nature of dark matter (DM).
Kiyan Tavangar, Adrian M. Price-Whelan
doaj   +1 more source

Ultrafast RF Spectrum Analyzer Assisted by Optical Short‐Time Fourier Transform

Advanced Physics Research, EarlyView.
We present Recent efforts in an ultrafast RF spectrum analyzer based on the short‐time Fourier transform (STFT) at over 10 MHz frame rate and over 40GHz bandwidth to improve performance and support applications. All these efforts could inspire more innovative applications of temporal imaging modalities in the future.
Liao Chen, Yufan Du, Rongwu Liu, Chi Zhang, Xinliang Zhang   +4 more
wiley   +1 more source