Results 61 to 70 of about 2,477 (260)

Strong Coupling in all‐Polymer Planar Microcavities

Advanced Optical Materials, EarlyView.
Strong Coupling has been achieved in an all‐polymer microcavity with dielectric contrast Δn = 0.33 doped with TDBC. A Rabi splitting of 39 meV has been measured opening novel perspectives for polymer photonics. ABSTRACT In this work, strong coupling effect is observed in all‐polymer planar microcavities incorporating TDBC J‐aggregates dispersed into ...
Daniela Di Fonzo, Andrea Lanfranchi, Giovanni Manfredi, Maddalena Patrini, Paola Lova, Davide Comoretto   +5 more
wiley   +1 more source

On I-Asymptotically Lacunary Statistical Equivalence of Functions on Amenable Semigroups

International Journal of Analysis and Applications, 2019
In this study we define the notions of asymptotically paper, we introduce the concept of Iasymptotically statistical equivalent and I-asymptotically lacunary statistical equivalent functions defined on discrete countable amenable semigroups.
Ömer Kişi, Burak Çakal
doaj   +2 more sources

Engineering Exciton g‐Factors With Light in Type‐II Heterostructures

Advanced Optical Materials, EarlyView.
All‐optical approaches have emerged as cutting‐edge alternatives for ultrafast, energy‐efficient, and spatially localized tuning and switching of material properties. In our work, we demonstrate how light intensity alone can be leveraged to engineer g‐factors from a single‐type of carrier in type‐II heterostructures through Coulomb‐induced wavefunction
G. M. Jacobsen, V. A. Oliveira, B. L. Liang, A. Pelais, M. E. Ware, G. J. Salamo, G. E. Marques, Yu. I. Mazur, V. Lopez‐Richard, M. D. Teodoro   +9 more
wiley   +1 more source

Backpropagation Through Soft Body: Investigating Information Processing in Brain–Body Coupling Systems

Advanced Robotics Research, EarlyView.
This study explores how information processing is distributed between brains and bodies through a codesign approach. Using the “backpropagation through soft body” framework, brain–body coupling agents are developed and analyzed across several tasks in which output is generated through the agents’ physical dynamics.
Hiroki Tomioka, Katsuma Inoue, Yasuo Kuniyoshi, Kohei Nakajima   +3 more
wiley   +1 more source

Modular, Textile‐Based Soft Robotic Grippers for Agricultural Produce Handling

Advanced Robotics Research, EarlyView.
This article introduces textile‐based pneumatic grippers that transform simple textiles into robust bending actuators. Detailed experiments uncover how cut geometry and fabric selection shape performance. Successful handling of fragile agricultural items showcases the potential of textile robotics for safe, scalable automation in food processing and ...
Zeyu Hou, Eran Beeri Bamani, Joao Buzzatto, Bryan Busby, Lucas Ferrari Gerez   +4 more
wiley   +1 more source

True precision limits in quantum metrology

New Journal of Physics, 2015
We show that quantification of the performance of quantum-enhanced measurement schemes based on the concept of quantum Fisher information (QFI) yields results that are asymptotically equivalent to those from the rigorous Bayesian approach, provided ...
Marcin Jarzyna, Rafał Demkowicz-Dobrzański   +1 more
doaj   +1 more source

Physics‐Constrained Constitutive Learning of Rate‐Limiting Timescales for Efficient Hydrogen‐Based Direct Reduction for Green Steel Making

Advanced Science, EarlyView.
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai, Barak Ratzker, Pasquale Cavaliere, Dierk Raabe   +3 more
wiley   +1 more source

Algorithms for Spectral Analysis of Irregularly Sampled Time Series

Journal of Statistical Software, 2004
In this paper, we present a spectral analysis method based upon least square approximation. Our method deals with nonuniform sampling. It provides meaningful phase information that varies in a predictable way as the samples are shifted in time.
Adolf Mathias, Florian Grond, Ramon Guardans, Detlef Seese, Miguel Canela, Hans H. Diebner   +5 more
doaj   +1 more source

Brain‐Computer Interface Training Fosters Perceptual Skills to Detect Errors

Advanced Science, EarlyView.
Accurate perception of visuomotor errors underpins motor precision and learning, yet conventional behavioral training fails to improve sensitivity to subtle errors. Real‐time EEG‐based brain‐computer interface feedback targeting the error positivity component enhances perceptual learning of small errors.
Deland H. Liu, Fumiaki Iwane, Minsu Zhang, Leonardo G. Cohen, José del R. Millán   +4 more
wiley   +1 more source

A Generative Neuro‐Symbolic AI for Protein Sequence Design

Advanced Science, EarlyView.
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne, Delphine Dessaux, Samuel Buchet, Lucie Barthe, Liza Ammar‐Khodja, Bessam Azizi, Valentin Durante, Gianluca Cioci, Simon de Givry, Alain Roussel, Luis F. Garcia‐Alles, Thomas Schiex, Sophie Barbe   +12 more
wiley   +1 more source