Results 61 to 70 of about 14,449 (221)

How Halide Segregation Governs the Ion Density Evolution and Ionic Performance Losses: From Degradation to Recovery

Advanced Energy Materials, EarlyView.
Halide segregation (HS) in mixed‐halide wide‐bandgap (WBG) perovskites is key to the stability of perovskite‐based tandem cells and a central focus of large‐scale research efforts. Here, we find that the underlying reason for the poor stability of cells prone to HS is enhanced ionic losses during operation. Furthermore, we identified irreversible ionic
Nikhil Kalasariya, Paria Forozi Sowmeeh, Francisco Pena‐Camargo, Francesco Vanin, Tino Lukas, Yuxin Dong, Qifan Feng, Ziwei Liu, Waqar Ali Memon, Danpeng Gao, Jianqiu Gong, Xin Wu, Andres Felipe Castro Mendez, Jan Hagenberg, Zahra Abadi, Thomas Hultzsch, Xinyi Zhao, Sahil Shah, Hui Yu, Varun Srivastava, Jianbin Xu, Ni Zhao, Felix Lang, Zonglong Zhu, Martin Stolterfoht   +24 more
wiley   +1 more source

A Wavelength-aware Unsupervised Learning Approach for Large, Multicolor, Photometric Surveys

The Astronomical Journal
Observational astronomy has undergone a significant transformation driven by large-scale surveys such as the Panoramic Survey Telescope and Rapid Response System (Pan-STARRS) survey, the Sloan Digital Sky Survey, and the Gaia Mission.
Bradley D. Hutchinson, Catherine A. Pilachowski, Christian I. Johnson   +2 more
doaj   +1 more source

Toward Efficient and Accurate EMRI Parameter Estimation: A Machine Learning-Enhanced MCMC Framework

Research
The detection of gravitational waves from extreme-mass-ratio inspirals (EMRIs) in space-based antennas like Taiji and Laser Interferometer Space Antenna promises deep insights into strong-field gravity and black hole physics. However, the complex, highly
Bo Liang, Chang Liu, Hanlin Song, Zhenwei Lyu, Minghui Du, Peng Xu, Ziren Luo, Sensen He, Haohao Gu, Tianyu Zhao, Manjia Liang, Yuxiang Xu, Li-e Qiang, Mingming Sun, Wei-Liang Qian   +14 more
doaj   +1 more source

One-dimensional, surface emitting, disordered Terahertz lasers

APL Photonics, 2020
Quantum cascade lasers are, by far, the most compact, powerful, and spectrally pure sources of radiation at terahertz frequencies, and, as such, they are of crucial importance for applications in metrology, spectroscopy, imaging, and astronomy, among ...
Luca Salemi, Katia Garrasi, Simone Biasco, Teresa Crisci, Harvey E. Beere, David A. Ritchie, Miriam S. Vitiello   +6 more
doaj   +1 more source

Automatic Determination of Quasicrystalline Patterns from Microscopy Images

Advanced Intelligent Discovery, EarlyView.
This work introduces a user‐friendly machine learning tool to automatically extract and visualize quasicrystalline tiling patterns from atomically resolved microscopy images. It uses feature clustering, nearest‐neighbor analysis, and support vector machines. The method is broadly applicable to various quasicrystalline systems and is released as part of
Tano Kim Kender, Marco Corrias, Cesare Franchini   +2 more
wiley   +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

Scalable Platform Enabling Reservoir Computing With Nanoporous Oxide Memristors for Image Recognition and Time Series Prediction

Advanced Intelligent Systems, EarlyView.
The approach of physical in materia computing incorporates parallel computing within the medium itself. A scalable and energy‐efficient, oxide‐based computational platform is realized in form of a nanoporous network of volatile niobium oxide memristors sandwiched between top and bottom metallic electrodes, and then tested for prediction and ...
Joshua Donald, Ben A. Johnson, Amir Mehrnejat, Alex Gabbitas, Arthur G. T. Coveney, Alexander G. Balanov, Sergey Savel’ev, Pavel Borisov   +7 more
wiley   +1 more source

Rewiring Droplet Interface Synapses

Advanced Intelligent Systems, EarlyView.
Droplet interface synapses are used to create a neuromorphic network. Voltage pulses draw the droplets into contact and enable rewiring of the network through electrowetting. Results show that the heterogeneous droplet compositions and pore‐forming molecules may be used to tune the neuromorphic properties of the device using trapped charge as a form of
Sarita Shrestha, Eric Freeman
wiley   +1 more source

Data‐Driven Review and Machine Learning Prediction of Diamond Vacancy Center Synthesis

Advanced Intelligent Systems, EarlyView.
A machine learning framework is applied to photoluminescence spectra to extract linewidths and uncover how NV, SiV, GeV, and SnV centers evolve with growth and processing conditions. Unified normalization and k‐fold validation reveal cross‐method trends and enable rapid prediction of defect size and fabrication parameters, offering a data‐driven route ...
Zhi Jiang, Marco Peres, Carlo Bradac, Gil Gonçalves   +3 more
wiley   +1 more source

On-chip photodetection of angular momentums of vortex structured light

Nature Communications
Structured vortex light with orbital angular momentum (OAM) shows great promise for high-bandwidth optical communications, quantum information and computing, optical tweezers, microscopy, astronomy, among others. Generating, controlling, and detecting of
Mingjin Dai, Chongwu Wang, Fangyuan Sun, Qi Jie Wang   +3 more
doaj   +1 more source