Results 121 to 130 of about 404,067 (315)

Neutrino discovery limit of Dark Matter direct detection experiments in the presence of non-standard interactions

Journal of High Energy Physics, 2018
The detection of coherent neutrino-nucleus scattering by the COHERENT collaboration has set on quantitative grounds the existence of an irreducible neutrino background in direct detection searches of Weakly Interacting Massive Dark Matter candidates ...
M. C. Gonzalez-Garcia, Michele Maltoni, Yuber F. Perez-Gonzalez, Renata Zukanovich Funchal   +3 more
doaj   +1 more source

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

Arthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos, José Miguel Sequí‐Sabater, Diego Benavent   +2 more
wiley   +1 more source

Highly accurate closed-form approximation for the probability of detection of Weibull fluctuating targets in non-coherent detectors [PDF]

, 2020
Fernando Darío Almeida García, Andrea Flores, Gustavo Fraidenraich   +2 more
openalex   +1 more source

Carboxylic‐Acid Functionalized Multiwalled Carbon Nanotube‐Alkane‐Based Resistive Temperature Sensor for Cold Chain Applications

Advanced Engineering Materials, EarlyView.
This study presents a reversible temperature sensor with high switching ratio, ∼103. The device is fabricated using PET‐ITO and carbon nanotube dispersions in alkane. Considering its application in cold chain logistics, a proof‐of‐concept with LED is showcased. Thus, a temperature drop below the threshold temperature (crystallization temperature of the
Sunil Kumar Behera, Philippe Marrec, A. Jorge Parola, Madalena Dionísio, Hugo Águas, Andreia F. M. Santos, Hamed Pourkheirollah, Donald Lupo, César A. T. Laia   +8 more
wiley   +1 more source

Non-Coherent Detection and Bit Error Rate for an Ambient Backscatter Link in Time-Selective Fading [PDF]

, 2020
J. Kartheek Devineni, Harpreet S. Dhillon   +1 more
openalex   +2 more sources

Heralded noiseless amplification and attenuation of non-gaussian states of light

, 2014
We examine the behavior of non-Gaussian states of light under the action of probabilistic noiseless amplification and attenuation. Surprisingly, we find that the mean field amplitude may decrease in the process of noiseless amplification -- or increase ...
Bellini, M., Cerf, N. J., Fiurasek, J., Gagatsos, C. N., Zavatta, A.   +4 more
core   +1 more source

Harnessing Fungal Biowelding for Constructing Mycelium‐Engineered Materials

Advanced Engineering Materials, EarlyView.
Mycelium‐bound composites (MBCs) offer low‐carbon alternatives for construction, yet interfacial bonding remains a critical challenge. This review examines fungal biowelding as a biocompatible adhesive, elucidating mycelium‐mediated interfacial mechanisms and their role in material assembly. Strategies to optimize biowelding are discussed, highlighting
Xue Brenda Bai, Xinrui Sarah Niu, Zhao Qin   +2 more
wiley   +1 more source

Non-destructive optical measurement of relative phase between two Bose condensates

, 1997
We study the interaction of light with two Bose condensates as an open quantum system. The two overlapping condensates occupy two different Zeeman sublevels and two driving light beams induce a coherent quantum tunneling between the condensates.
A. Imamoḡlu, A. L. Fetter, C. Cohen-Tannoudji, C. J. Myatt, C. M. Savage, C. W. Gardiner, D. Forster, Dan F. Walls, E. Arimondo, E. M. Lifshitz, E. M. Wright, E. M. Wright, G. Lenz, G. Lindblad, H. R. Gray, J. D. Jackson, J. Dalibard, J. I. Cirac, J. Javanainen, J. Javanainen, J. Javanainen, J. Javanainen, J. Javanainen, J. Ruostekoski, J. Ruostekoski, J. Ruostekoski, Janne Ruostekoski, K. Huang, K. Mølmer, L. You, M. Naraschewski, M. R. Andrews, M. R. Andrews, M. W. Jack, R. J. Glauber, T. Wong, Y. Castin   +36 more
core   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

Advanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky, Marcelo Sallese, Leander Kläber, Clemens Kuhn, Keming Du, Andrés Fabián Lasagni   +5 more
wiley   +1 more source