Results 51 to 60 of about 2,005,952 (304)

An Efficient Algorithm for Astrochemical Systems Using Stoichiometry Matrices

The Astrophysical Journal Supplement Series
Astrochemical simulations are a powerful tool for revealing chemical evolution in the interstellar medium. Astrochemical calculations require efficient processing of large matrices for the chemical networks.
Kazutaka Motoyama, Ruben Krasnopolsky, Hsien Shang, Kento Aida, Eisaku Sakane   +4 more
doaj   +1 more source

CMR Exploration. I. Filament Structure with Synthetic Observations

The Astrophysical Journal Supplement Series, 2023
In this paper, we carry out a pilot parameter exploration for the collision-induced magnetic reconnection (CMR) mechanism that forms filamentary molecular clouds.
Shuo Kong, Volker Ossenkopf-Okada, Héctor G. Arce, Ralf S. Klessen, Duo Xu   +4 more
doaj   +1 more source

Optimal Control Drives Ultrafast and Energy‐Efficient Magnetization Switching in Van der Waals Magnets

Advanced Materials, EarlyView.
ABSTRACT The accelerating expansion of data‐centric technologies is sharply increasing the energy burden of information storage, placing unprecedented pressure on the efficiency of magnetic switching. Conventional field‐driven reversal, once the foundation of magnetic memory, has become impractical in modern architectures due to its high energy cost ...
Mohammad H. Badarneh, PeiYu Cai, Elton J. G. Santos   +2 more
wiley   +1 more source

Modeling Dust Production, Growth, and Destruction in Reionization-era Galaxies with the CROC Simulations. II. Predicting the Dust Content of High-redshift Galaxies

The Astrophysical Journal
We model the interstellar dust content of the reionization era with a suite of cosmological, fluid-dynamical simulations of galaxies with stellar masses ranging from ∼10 ^5 to 10 ^9 M _⊙ in the first 1.2 Gyr of the Universe.
Clarke J. Esmerian, Nickolay Y. Gnedin
doaj   +1 more source

Constraints on the Epoch of Reionization with Roman Space Telescope and the Void Probability Function of Lyα Emitters

The Astrophysical Journal, 2023
We use large simulations of Ly α emitters with different fractions of ionized intergalactic medium to quantify the clustering of Ly α emitters as measured by the void probability function (VPF), and how it evolves under different ionization scenarios. We
Lucia A. Perez, Sangeeta Malhotra, James E. Rhoads, Isak G. B. Wold   +3 more
doaj   +1 more source

Anisotropy of Alfvénic Turbulence in the Solar Wind and Numerical Simulations [PDF]

, 2010
10.12.13 KB.
Mallet, A, T. A. Yousef, A. A. Schekochihin, Yousef, TA, T. S. Horbury, A. Mallet, Chen, CHK, C. H. K. Chen, Schekochihin, AA, Horbury, TS   +9 more
core   +1 more source

When Poor Exciton Dissociation Limits Photocurrents in Organic Solar Cells: Why Low Offset Non‐Fullerene Acceptor Blends Can't Be Efficient

Advanced Materials, EarlyView.
The energetic offset between the donor and the acceptor components in organic photoactive layers is central to the tradeoff between photovoltage and photocurrent losses. This Perspective covers the most important issues surrounding this topic in non‐fullerene acceptor blends, from the difficulty of accurately determining state energies and driving ...
Dieter Neher, Manasi Pranav
wiley   +1 more source

VST processing facility: first astronomical applications [PDF]

VST–Tube is a new software package designed to process optical astronomical images. It is an automated pipeline to go from the raw exposures to fully calibrated co-added images, and to extract catalogs with aperture and PSF photometry.
Capaccioli, Massimo
core   +2 more sources

Observations of the Hydroxyl Radical in C/2013 US10 (Catalina) at 18 cm Wavelength

, 2017
The hydroxyl (OH) radical produced by photodissociation of water molecule is one of the most important indicators for cometary outgassing activity. The absorption lines of the OH radical at 1665 and 1667 MHz in the coma of comet C/2013 US10 Catalina were
Ip,Wing-Huen, Chen,Xi, Liu,Xiang, Gou,Wei, Gao,Feng, Chang,Sheng-Qi, Wang,Zhen, Zheng,Xing-Wu, Zuo,Xiu-Ting, Zhang,Shaobo, Wang,Na   +10 more
core   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source