Results 221 to 230 of about 639,379 (349)

A companion to the preclinical common data elements for proteomics, lipidomics, and metabolomics data in rodent epilepsy models. A report of the TASK3‐WG4 omics working group of the ILAE/AES joint translational TASK force

Epilepsia Open, EarlyView., 2022
Abstract The International League Against Epilepsy/American Epilepsy Society (ILAE/AES) Joint Translational Task Force established the TASK3 working groups to create common data elements (CDEs) for various preclinical epilepsy research disciplines.
Laura Bindila, Tore Eid, James D. Mills, Michael S. Hildebrand, Gary P. Brennan, Susan A. Masino, Vicky Whittemore, Piero Perucca, Christopher A. Reid, Manisha Patel, Kevin K. Wang, Erwin A. van Vliet   +11 more
wiley   +1 more source

Witnessing the onset of reionization through Lyman-α emission at redshift 13. [PDF]

Nature
Witstok J, Jakobsen P, Maiolino R, Helton JM, Johnson BD, Robertson BE, Tacchella S, Cameron AJ, Smit R, Bunker AJ, Saxena A, Sun F, Alberts S, Arribas S, Baker WM, Bhatawdekar R, Boyett K, Cargile PA, Carniani S, Charlot S, Chevallard J, Curti M, Curtis-Lake E, D'Eugenio F, Eisenstein DJ, Hainline KN, Jones GC, Kumari N, Maseda MV, Pérez-González PG, Rinaldi P, Scholtz J, Übler H, Williams CC, Willmer CNA, Willott C, Zhu Y.   +36 more
europepmc   +1 more source

Superconducting detectors for astronomy and astrophysics

, 2020
Faouzi Boussaha
openalex   +1 more source

Applied Artificial Intelligence in Materials Science and Material Design

Advanced Intelligent Systems, EarlyView.
AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel, Martin Børstad Eriksen, Alejandro Castro‐Alvarez, Jose H. Garcia, Marc Botifoll, Oscar Avalos‐Ovando, Jordi Arbiol, Aitor Mugarza   +7 more
wiley   +1 more source

Author Correction: A small and vigorous black hole in the early Universe. [PDF]

Nature
Maiolino R, Scholtz J, Witstok J, Carniani S, D'Eugenio F, de Graaff A, Übler H, Tacchella S, Curtis-Lake E, Arribas S, Bunker A, Charlot S, Chevallard J, Curti M, Looser TJ, Maseda MV, Rawle TD, Rodríguez Del Pino B, Willott CJ, Egami E, Eisenstein DJ, Hainline KN, Robertson B, Williams CC, Willmer CNA, Baker WM, Boyett K, DeCoursey C, Fabian AC, Helton JM, Ji Z, Jones GC, Kumari N, Laporte N, Nelson EJ, Perna M, Sandles L, Shivaei I, Sun F.   +38 more
europepmc   +1 more source

Using JADES NIRCam photometry to investigate the dependence of stellar mass inferences on the IMF in the early universe. [PDF]

Proc Natl Acad Sci U S A
Woodrum C, Rieke M, Ji Z, Baker WM, Bhatawdekar R, Bunker AJ, Charlot S, Curtis-Lake E, Eisenstein DJ, Hainline K, Hausen R, Helton JM, Hviding RE, Johnson BD, Robertson B, Sun F, Tacchella S, Whitler L, Williams CC, Willmer CNA.   +19 more
europepmc   +1 more source

FM12: A Focus Meeting on Bridging Laboratory Astrophysics and Astronomy [PDF]

, 2015
Farid Salama, L. Mashonkina, Steve Federman   +2 more
openalex   +1 more source

The First Global e-Competition on Astronomy and Astrophysics

, 2021
Charles Barclay, T. Eenmäe, Taavet Kalda, H. Papathanassiou, Nikita Poljakov, G. Rojas, T. Sepp, G. Stachowski, Aniket Sule, Ioana A. Zelko   +9 more
openalex   +2 more sources

Quantum‐Classical Simulation of Quantum Field Theory by Quantum Circuit Learning

Annalen der Physik, EarlyView.
Quantum circuit learning is employed to simulate quantum field theories (QFTs). By integrating a minimal qubit configuration and low‐depth circuits, the approach predicts real‐time dynamics accurately. It effectively simulates complex phenomena such as quench and chiral dynamics in a model of quantum electrodynamics, aligning well with classical ...
Kazuki Ikeda
wiley   +1 more source

Ninety percent circular polarization detected in a repeating fast radio burst. [PDF]

Natl Sci Rev
Jiang J, Xu J, Niu J, Lee K, Zhu W, Zhang B, Qu Y, Xu H, Zhou D, Cao S, Wang W, Wang B, Cao S, Zhang Y, Zhang C, Gan H, Han J, Hao L, Huang Y, Jiang P, Li D, Li H, Li Y, Li Z, Luo R, Men Y, Qian L, Sun J, Wang L, Xu Y, Xu R, Yang Y, Yao R, Yue Y, Yu D, Yuan J, Zhu Y.   +36 more
europepmc   +1 more source