Results 111 to 120 of about 143,809 (350)

High altitude molecular clouds [PDF]

The Astrophysical Journal, 1994
A population of molecular clouds with a significantly greater scale height than that of Giant Molecular Clouds has been identified by examining maps of the latitude distribution of the $^{12}CO(1-0)$ emission in the first quadrant of the Galaxy. These clouds are found by identifying emission more than 2.6 times the scale-height away from the galactic ...
openaire   +2 more sources

Design and Applications of Multi‐Frequency Programmable Metamaterials for Adaptive Stealth

Advanced Functional Materials, EarlyView.
This article provides a comprehensive overview of metamaterials, including their fundamental principles, properties, synthesis techniques, and applications in stealth, as well as their challenges and future prospects. It covers topics that are more advanced than those typically discussed in existing review articles, while still being closely connected ...
Jonathan Tersur Orasugh, Ankita Mohanty, Amit Malakar, Suryasarathi Bose, Suprakas Sinha Ray   +4 more
wiley   +1 more source

Functional Materials for Environmental Energy Harvesting in Smart Agriculture via Triboelectric Nanogenerators

Advanced Functional Materials, EarlyView.
This review explores functional and responsive materials for triboelectric nanogenerators (TENGs) in sustainable smart agriculture. It examines how particulate contamination and dirt affect charge transfer and efficiency. Environmental challenges and strategies to enhance durability and responsiveness are outlined, including active functional layers ...
Rafael R. A. Silva, Giulio Fatti, Emanuel Carlos, Guilherme Ferreira, Sumita Goswami, Suman Nandy, Luiz H. C. Mattoso, Elvira Fortunato, Caio G. Otoni, Rodrigo Martins   +9 more
wiley   +1 more source

On the Flux–Intensity Relation of Molecular Clouds

The Astrophysical Journal Letters
In this work, we report a study on the relationship between flux and intensity for molecular clouds. Our analysis is established on high-quality CO images from the Milky Way Imaging Scroll Painting project.
Qing-Zeng Yan, Ji Yang, Yang Su, Yan Sun, Shaobo Zhang, Xin Zhou, Chen Wang, Yiping Ao, Xuepeng Chen, Min Wang   +9 more
doaj   +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

Examining Turbulence in Galactic Molecular Clouds. I. A Statistical Analysis of Velocity Structures

The Astrophysical Journal
We present a systematic analysis of the velocity structure functions (VSFs) of 167 molecular clouds with angular sizes greater than ~176 arcmin ^2 in three sectors of the Galactic midplane.
Yuehui Ma, Miaomiao Zhang, Hongchi Wang, Min Fang, Zhenyi Yue, Xuepeng Chen, Ji Yang, Fujun Du, Yang Su, Suziye He, Haoran Feng, Yan Sun, Chong Li, Qing-Zeng Yan, Zhiwei Chen, Shaobo Zhang, Xin Zhou   +16 more
doaj   +1 more source

Masses, luminosities and dynamics of galactic molecular clouds [PDF]

Star formation in galaxies takes place in molecular clouds and the Milky Way is the only galaxy in which it is possible to resolve and study the physical properties and star formation activity of individual clouds. The masses, luminosities, dynamics, and
Barrett, J. W., Mooney, T. J., Rivolo, A. R., Sage, L. J., Solomon, P. M.   +4 more
core   +1 more source

Millimeter dust continuum emission unveiling the true mass of giant molecular clouds in the Small Magellanic Cloud

, 2007
CO observations have been so far the best way to trace molecular gas in external galaxies, but at low metallicity the gas mass deduced could be largely underestimated.
Alton, André, Bertoldi, Bolatto, Bot, Bouchet, Boulanger, Boulanger, C. Bot, Cambrésy, Cambrésy, Chin, Dame, Dame, de Geus, de Vries, Dickinson, Draine, Dufour, F. Boulanger, F. Rantakyro, Fatuzzo, Gordon, Grenier, Grenier, Guelin, Heikkila, Henize, Heyer, Hodge, Hunter, Israel, Israel, Israel, Kalberla, Laney, Lequeux, Lequeux, Leroy, Lisenfeld, M. Rubio, MacLaren, Mallouris, McKee, Meijerink, Meyssonnier, Mizuno, Myers, Pohl, Reynolds, Rolleston, Rosado, Rosolowsky, Rosolowsky, Rubio, Rubio, Rubio, Rubio, Schwering, Simon, Sofia, Sofia, Solomon, Stepnik, Strong, Strong, Thomas, Trundle, Tumlinson, Ungerechts, Welty, Williams, Wolleben   +72 more
core   +1 more source

Star Formation in Molecular Clouds [PDF]

Symposium - International Astronomical Union, 1985
We examine how star formation occurs in the Galaxy and come to the following conclusions. (1) The distribution of newly-born stars in the Galaxy depends on the origin of giant-molecular-cloud complexes. For individual complexes, we favor the mechanism of Parker's instability behind galactic shocks.
openaire   +1 more source

Electron Compensation Enhanced Triboelectric Sensor Assisted by Machine Learning for Tactile Perception Recognition

Advanced Functional Materials, EarlyView.
Integrating polyethyleneimine and carbon black into polyurethane enhances electron transport and mechanical durability. The resulting sensor achieves significantly improved electrical signal and sensitivity, enabling efficient machine learning‐based tactile signal recognition in bionic applications.
Xiangkun Bo, Wei Wang, Hong Zhao, Ruiqin Zhang, Walid A. Daoud   +4 more
wiley   +1 more source