Results 31 to 40 of about 50,725 (251)

Optical Signature of Moiré Superlattices Formed by Twisted SrTiO3 Membranes

Advanced Functional Materials, EarlyView.
We discover optical signatures from bonded interfaces in twisted SrTiO3 moiré superlattices, including low‐frequency Raman vibrational modes and strong second‐harmonic generation, consistent with strong interlayer coupling inferred from cross‐sectional electron microscopy and ab initio calculations. ABSTRACT Moiré superlattices formed at the interfaces
T. A. M. Ragib Shahriar, Fumikazu Murakami, Xing He, Konnor Koons, Xinyan Li, Bumseop Kim, Shihan Qin, Varun Harbola, Jochen Mannhart, Yimo Han, Ruijuan Xu, Shengxi Huang, Andrew M. Rappe, Hanyu Zhu   +13 more
wiley   +1 more source

Gapless Superconductivity From Extremely Dilute Magnetic Disorder in 2H‐NbSe2‐xSx

Advanced Materials, EarlyView.
We demonstrate that 2H‐NbSe2‐xSx hosts gapless superconductivity at unexpectedly low magnetic impurity concentrations. Combining STM, Bogoliubovde Gennes simulations, DFT, and quasiparticle interference, we comprehensively study the development of gapless behavior and show that SeS substitution reshapes the band structure, enhances nesting, and drives ...
Jose Antonio Moreno, Mercè Roig, Víctor Barrena, Edwin Herrera, Alberto M. Ruiz, Samuel Mañas‐Valero, Antón Fente, Anita Smeets, Jazmín Aragón, Yanina Fasano, Beilun Wu, Maria N. Gastiasoro, Eugenio Coronado, José J. Baldoví, Brian M. Andersen, Isabel Guillamón, Hermann Suderow   +16 more
wiley   +1 more source

Spatial autocorrelation in a Mexican dung beetle ensemble: Implications for biodiversity assessment and monitoring

Ecological Indicators, 2021
Spatial autocorrelation is a general property of ecological variables. Since many of the statistical methods used in ecology often assume sample independence, spatial clustering is considered a source of noise in studies related to the estimation and ...
Victor Moctezuma
doaj   +1 more source

De Novo Autogenic Engineered Living Functional Materials

Advanced Materials, EarlyView.
A versatile platform for de novo autogenic engineered living materials is presented, leveraging protein mining, computational modeling, and synthetic biology. By reprogramming the Escherichia coli curli machinery with β‐solenoid proteins from non‐model bacteria, macroscopic biomaterials with enhanced mechanical properties, UV‐C irradiation protection ...
Hoda M. Hammad, Seth Swarnadeep, Erin C. Jackson, Nicolas Burns, Hongyu Wang, Harrison Priode, Robert B. Moore, Sanket Deshmukh, Avinash Manjula‐Basavanna, Anna M. Duraj‐Thatte   +9 more
wiley   +1 more source

Noise‐Tunable Memristor Enabling Programmable Probabilistic Neurons for Frequency‐Selective Time‐Series Signal Encoding

Advanced Materials, EarlyView.
Memristors offer tunable resistance and intrinsic instability, making them promising tunable noise sources. We propose a spiking‐rate‐programmable probabilistic neuron using a Ru/TaOx/Pt memristor, where resistance‐dependent noise enables frequency‐selective encoding.
Do Hoon Kim, Seoeun Jang, Hakseung Rhee, Min Gu Lee, Daehee Kim, Taewook Go, Woon Hyung Cheong, Hanchan Song, Kyung Min Kim   +8 more
wiley   +1 more source

WS2 Micro‐Dome Single Photon Source in a Tunable Open Cavity

Advanced Optical Materials, EarlyView.
In this work, a single‐photon source based on WS2 micro‐domes is realized and integrated into an open, tunable optical microcavity. Single‐photon emission from the coupled emitter–cavity system is observed. Detailed analysis shows that a pronounced acoustic phonon emission sideband contributes specifically to the non‐resonant emitter–cavity coupling in
Jens‐Christian Drawer, Salvatore Cianci, Vita Solovyeva, Alexander Steinhoff, Christopher Gies, Falk Eilenberger, Kenji Watanabe, Takashi Taniguchi, Ivan Solovev, Giorgio Pettinari, Federico Tuzi, Elena Blundo, Marco Felici, Antonio Polimeni, Martin Esmann, Christian Schneider   +15 more
wiley   +1 more source

Spatial patterns of surface soil moisture and hydro-physical properties in Lijiang River watershed

Shui kexue jinzhan, 2016
Spatial heterogeneity is a basic characteristic of soil moisture and hydro-physical properties. We applied geostatistical approach to assess the spatial patterns of soil moisture and hydro-physical properties to identify the distribution and variability ...
YAO Yuefeng, HE Chengxin, ZENG Danjuan, ZHOU Cuiming, MO Ling, HUANG Yuqing, XU Guangping   +6 more
doaj   +1 more source

Sampling-simulation-based spatial analysis and strategy optimization for compaction quality assurance

Ain Shams Engineering Journal
Compaction quality is crucial for geotechnical performance, but spatial autocorrelation introduces risks of misjudgment. This study presents a simulation-based framework to optimize sampling schemes for quality assurance.
Youle Wang, Zhijun Zhang, Zhengjian Miao, Feng Wang, Wenjie Zhou   +4 more
doaj   +1 more source

Measuring spatio-temporal autocorrelation in time series data of collective human mobility

Geo-spatial Information Science, 2019
Massive spatio-temporal big data about human mobility have become increasingly available. Revealing underlying dynamic patterns from these data is essential for understanding people’s behavior and urban deployment.
Yong Gao, Jing Cheng, Haohan Meng, Yu Liu   +3 more
doaj   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source