Results 131 to 140 of about 689,866 (345)

Dark Matter Hot Spots and Neutrino Telescopes

, 2021
We perform a new dark matter hot spot analysis using ten years of public IceCube data. This analysis assumes dark matter self-annihilates to neutrino pairs and treats the production sites as discrete point sources. As a result, these sites will appear as hot spots in the sky for neutrino telescopes, possibly outshining other standard model neutrino ...
Meighen-Berger, Stephan, Karl, Martina
openaire   +2 more sources

Neutrino and axion hot dark matter bounds after WMAP-7

, 2010
We update cosmological hot dark matter constraints on neutrinos and hadronic axions. Our most restrictive limits use 7-year data from the Wilkinson Microwave Anisotropy Probe for the cosmic microwave background anisotropies, the halo power spectrum (HPS)
A.G. Riess ., Alessandro Mirizzi, C.L. Reichardt ., CAST collaboration, CAST collaboration, D. Larson ., E. Komatsu ., G. Drexlin, Georg G Raffelt, H.C. Chiang ., J. Hamann, QUaD collaboration, S. Hannestad, S. Hannestad, S. Hannestad, S. Hannestad, S. Schönert, Steen Hannestad, Yvonne Y.Y Wong, Z.G. Berezhiani, Z.G. Berezhiani   +20 more
core   +1 more source

Additive‐Driven Phase Control for Stable and Efficient CsPbI₃ Solar Cells Via Ambient Low‐Temperature Processing

Advanced Functional Materials, EarlyView.
CsPbI₃ perovskite solar cells face stability issues due to high annealing temperatures and moisture. Butylammonium acetate (BAAc) enables stable phase formation at 160°C in ambient laboratory conditions, enhancing efficiency and stability, achieving 18.6% PCE, and maintaining over 81% efficiency after 1,000 hours of maximum power point tracking under 1
Narendra Pai, Aaron Seeber, Wen Liang Tan, Luke J. Sutherland, Chris Easton, Wenqi Yan, Yogesh Gulia, Yesim Gozukara, Jueng‐Eun Kim, Mei Gao, Dechan Angmo   +10 more
wiley   +1 more source

Gravitational accretion of hot dark matter

The Astrophysical Journal, 1988
A major difficulty with hot dark matter models, namely their extremely large clustering scales, can be alleviated if small-scale clustering is produced by accretion around a perturbing mass that is not itself composed of dark matter. This paper reports a numerical simulation of such a perturbing mass immersed in a background of hot dark matter.
openaire   +2 more sources

Massive Neutrinos and Galaxy Formation

, 1994
We report the most recent results from high-resolution numerical simulations of structure formation in two flat cold+hot dark matter models with neutrino mass densities $\onu=0.2$ and 0.3. We find that structure forms too late in all CDM+HDM models with $
Ma, Chung-Pei
core   +1 more source

Locking Metastable Topological Domains in Nematic Liquid Crystal Pi Cells

Advanced Functional Materials, EarlyView.
Selective photopolymerization in the presence of a controlled voltage defines permanent director walls that lock‐in metastable bend and twist configurations within nematic liquid crystal Pi cells. Q‐tensor simulations corroborate the experiments, demonstrating the topological state stabilization.
Adithya Pradeep, Urban Mur, Junseok Ma, Nathan Spiller, Yihan Jin, Waqas Kamal, Steve J. Elston, Stephen M. Morris   +7 more
wiley   +1 more source

Halide Perovskite Radiation Detectors: Conventional Imaging Applications and New Opportunities

Advanced Functional Materials, EarlyView.
Organic–inorganic hybrid halide perovskite (OIHP) semiconductors, owing to their exceptional optoelectronic properties, are emerging as promising next‐generation integrated radiation detectors for applications in medical radiodiagnosis and healthcare monitoring.
Dou Zhao, Yeon‐Woo Choi, Tomoyuki Yokota, Takao Someya, Nam‐Gyu Park   +4 more
wiley   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Thermal Phase‐Modulation of Thickness‐Dependent CVD‐Grown 2D In2Se3

Advanced Functional Materials, EarlyView.
A comprehensive study of CVD‐grown 2D In2Se3 reveals a distinct thickness‐dependent phase landscape and a reversible, thermally driven transformation between β″ and β* variants. In situ TEM electron diffraction and Raman spectroscopy reveal structural dynamics, while the structural invariance of the α‐phase in ultrathin regimes highlights its stability—
Dasun P. W. Guruge, Zhenhuan Chen, Joseph F. S. Fernando, Chao Zhang, Liangzhi Kou, Konstantin L. Firestein, Dmitri V. Golberg   +6 more
wiley   +1 more source

Decay-Produced Neutrino Hot Dark Matter

Physical Review Letters, 1998
We investigate different types of neutrino hot dark matter with respect to structure formation and anisotropies in the cosmic microwave background radiation (CMBR). The possibility of neutrino hot dark matter produced through the decay of a heavier neutrino by the process nu_H -> nu_L + phi, where phi is a scalar particle, is discussed in detail ...
openaire   +2 more sources