Results 131 to 140 of about 4,256,396 (290)

Very Massive Stars and High N/O: A Tale of the Nitrogen-enriched Super Star Cluster in the Sunburst Arc

The Astrophysical Journal
The lensed Sunburst Arc ( z = 2.369) hosts a young (∼2–4 Myr), massive ( M _⋆  ∼ 10 ^7 M _⊙ ), compact ( R _eff  ∼ 8 pc) Lyman-continuum leaking super star cluster, which powers a compact (
Yanlong Shi, Liang Dai, Norman Murray, Claire S. Ye, Christopher D. Matzner, Massimo Pascale   +5 more
doaj   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

FEAST: JWST Uncovers the Emerging Timescales of Young Star Clusters in M83

The Astrophysical Journal
We present JWST NIRCam observations of the emerging young star clusters (eYSCs) detected in the nearby spiral galaxy M83. The NIRcam mosaic encompasses the nuclear starburst, the bar, and the inner spiral arms.
Alice Knutas, Angela Adamo, Alex Pedrini, Sean T. Linden, Varun Bajaj, Jenna E. Ryon, Benjamin Gregg, Ahmad A. Ali, Eric P. Andersson, Arjan Bik, Giacomo Bortolini, Anne S. M. Buckner, Daniela Calzetti, Ana Duarte-Cabral, Bruce G. Elmegreen, Helena Faustino Vieira, John S. Gallagher, Kathryn Grasha, Kelsey Johnson, Thomas S.-Y. Lai, Drew Lapeer, Matteo Messa, Göran Östlin, Elena Sabbi, Linda J. Smith, Monica Tosi   +25 more
doaj   +1 more source

Euclid: Early Release Observations – The star cluster systems of the Local Group dwarf galaxies IC 10 and NGC 6822★

Astronomy & Astrophysics
Star clusters are valuable indicators of galaxy evolution, offering insights into the buildup of stellar populations across cosmic time. Understanding the intrinsic star cluster populations of dwarf galaxies is particularly important given these systems’
Howell J. M., Ferguson A. M. N., Larsen S. S., Lançon A., Annibali F., Cuillandre J.-C., Hunt L. K., Martínez-Delgado D., Massari D., Saifollahi T., Voggel K., Altieri B., Andreon S., Auricchio N., Baccigalupi C., Baldi M., Bardelli S., Biviano A., Branchini E., Brescia M., Brinchmann J., Camera S., Cañas-Herrera G., Candini G. P., Capobianco V., Carbone C., Carretero J., Castellano M., Castignani G., Cavuoti S., Cimatti A., Colodro-Conde C., Congedo G., Conselice C. J., Conversi L., Copin Y., Courbin F., Courtois H. M., Cropper M., Da Silva A., Degaudenzi H., De Lucia G., Dubath F., Duncan C. A. J., Dupac X., Dusini S., Escoffier S., Farina M., Farinelli R., Faustini F., Ferriol S., Finelli F., Frailis M., Franceschi E., Fumana M., Galeotta S., George K., Gillis B., Giocoli C., Gracia-Carpio J., Grazian A., Grupp F., Haugan S. V. H., Hoekstra H., Holmes W., Hormuth F., Hornstrup A., Jahnke K., Jhabvala M., Keihänen E., Kermiche S., Kubik B., Kümmel M., Kunz M., Kurki-Suonio H., Le Brun A. M. C., Le Mignant D., Ligori S., Lilje P. B., Lindholm V., Lloro I., Mainetti G., Maino D., Maiorano E., Mansutti O., Marggraf O., Martinelli M., Martinet N., Marulli F., Massey R. J., Medinaceli E., Mei S., Melchior M., Mellier Y., Meneghetti M., Merlin E., Meylan G., Mora A., Moresco M., Moscardini L., Nakajima R., Neissner C., Niemi S.-M., Padilla C., Paltani S., Pasian F., Pedersen K., Percival W. J., Pettorino V., Pires S., Polenta G., Poncet M., Popa L. A., Raison F., Renzi A., Rhodes J., Riccio G., Romelli E., Roncarelli M., Saglia R., Sakr Z., Sapone D., Sartoris B., Schirmer M., Schneider P., Schrabback T., Secroun A., Seidel G., Serrano S., Simon P., Sirignano C., Sirri G., Skottfelt J., Stanco L., Steinwagner J., Tallada-Crespí P., Taylor A. N., Teplitz H. I., Tereno I., Toft S., Toledo-Moreo R., Torradeflot F., Tutusaus I., Valenziano L., Valiviita J., Vassallo T., Wang Y., Weller J., Zamorani G., Zinchenko I. A., Martín-Fleitas J., Scottez V.   +151 more
doaj   +1 more source

Is the Galactic center populated with young star clusters?

, 2000
We study the evolution and observability of young and compact star clusters near the Galactic center, such as the Arches cluster and the Quintuplet. The star clusters are modeled with a combination of techniques; using direct N-body, integration to calculate the motions of all stars and detailed stellar and binary evolution to follow the evolution of ...
openaire   +3 more sources

Star clusters [PDF]

, 2006
Star clusters are observed in almost every galaxy. In this thesis we address several fundamental problems concerning the formation, evolution and disruption of star clusters.
Gieles, M.
core  

Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics

Advanced Materials, EarlyView.
“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair, Hrisheekesh Thachoth Chandran, Karl Leo, Hans Kleemann   +3 more
wiley   +1 more source

The complex history of NGC 1427A revealed by its star clusters and star formation history

Astronomy & Astrophysics
Star-forming low-mass galaxies in the dense environments of galaxy clusters provide opportunities to study how environmental effects such as ram-pressure stripping, tidal interactions, or galaxy mergers shape a galaxy’s star formation history.
Fahrion Katja, Hilker Michael, Chaturvedi Avinash, Carvajal Juan P., Puzia Thomas H.   +4 more
doaj   +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

The Stellar Initial Mass Function of Early Dark Matter–free Gas Objects

The Astrophysical Journal Letters
Among the remarkable strides made by JWST is the discovery of the earliest star clusters found to date. These have been proposed as early progenitors of globular clusters, which are known to come from the early stages of star formation in the Universe ...
William Lake, Michael Y. Grudić, Smadar Naoz, Naoki Yoshida, Claire E. Williams, Blakesley Burkhart, Federico Marinacci, Mark Vogelsberger, Avi Chen   +8 more
doaj   +1 more source