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Nature
Resumen/Descripción – provisto por la editorial en inglés
Nature is a weekly international journal publishing the finest peer-reviewed research in all fields of science and technology on the basis of its originality, importance, interdisciplinary interest, timeliness, accessibility, elegance and surprising conclusions. Nature also provides rapid, authoritative, insightful and arresting news and interpretation of topical and coming trends affecting science, scientists and the wider public.Palabras clave – provistas por la editorial
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Disponibilidad
| Institución detectada | Período | Navegá | Descargá | Solicitá |
|---|---|---|---|---|
| No detectada | desde jul. 2012 / hasta dic. 2023 | Nature.com | ||
| No detectada | desde jul. 2006 / hasta ago. 2012 | Ovid |
Información
Tipo de recurso:
revistas
ISSN impreso
0028-0836
ISSN electrónico
1476-4687
Editor responsable
Springer Nature
País de edición
Reino Unido
Fecha de publicación
1869-
Tabla de contenidos
Thermal imaging of dust hiding the black hole in NGC 1068
Violeta Gámez Rosas
; Jacob W. Isbell; Walter Jaffe; Romain G. Petrov; James H. Leftley; Karl-Heinz Hofmann; Florentin Millour; Leonard Burtscher; Klaus Meisenheimer; Anthony Meilland; Laurens B. F. M. Waters; Bruno Lopez; Stéphane Lagarde; Gerd Weigelt; Philippe Berio; Fatme Allouche; Sylvie Robbe-Dubois; Pierre Cruzalèbes; Felix Bettonvil; Thomas Henning; Jean-Charles Augereau; Pierre Antonelli; Udo Beckmann; Roy van Boekel; Philippe Bendjoya; William C. Danchi; Carsten Dominik; Julien Drevon; Jack F. Gallimore; Uwe Graser; Matthias Heininger; Vincent Hocdé; Michiel Hogerheijde; Josef Hron; Caterina M. V. Impellizzeri; Lucia Klarmann; Elena Kokoulina; Lucas Labadie; Michael Lehmitz; Alexis Matter; Claudia Paladini; Eric Pantin; Jörg-Uwe Pott; Dieter Schertl; Anthony Soulain; Philippe Stee; Konrad Tristram; Jozsef Varga; Julien Woillez; Sebastian Wolf; Gideon Yoffe; Gerard Zins
Palabras clave: Multidisciplinary.
Pp. 403-407
Nuclear spin-wave quantum register for a solid-state qubit
Andrei Ruskuc; Chun-Ju Wu; Jake Rochman; Joonhee Choi; Andrei Faraon
Palabras clave: Multidisciplinary.
Pp. 408-413
Magnetic control of tokamak plasmas through deep reinforcement learning
Jonas Degrave; Federico Felici; Jonas Buchli; Michael Neunert; Brendan Tracey; Francesco Carpanese; Timo Ewalds; Roland Hafner; Abbas Abdolmaleki; Diego de las Casas; Craig Donner; Leslie Fritz; Cristian Galperti; Andrea Huber; James Keeling; Maria Tsimpoukelli; Jackie Kay; Antoine Merle; Jean-Marc Moret; Seb Noury; Federico Pesamosca; David Pfau; Olivier Sauter; Cristian Sommariva; Stefano Coda; Basil Duval; Ambrogio Fasoli; Pushmeet Kohli; Koray Kavukcuoglu; Demis Hassabis; Martin Riedmiller
<jats:title>Abstract</jats:title><jats:p>Nuclear fusion using magnetic confinement, in particular in the tokamak configuration, is a promising path towards sustainable energy. A core challenge is to shape and maintain a high-temperature plasma within the tokamak vessel. This requires high-dimensional, high-frequency, closed-loop control using magnetic actuator coils, further complicated by the diverse requirements across a wide range of plasma configurations. In this work, we introduce a previously undescribed architecture for tokamak magnetic controller design that autonomously learns to command the full set of control coils. This architecture meets control objectives specified at a high level, at the same time satisfying physical and operational constraints. This approach has unprecedented flexibility and generality in problem specification and yields a notable reduction in design effort to produce new plasma configurations. We successfully produce and control a diverse set of plasma configurations on the Tokamak à Configuration Variable<jats:sup>1,2</jats:sup>, including elongated, conventional shapes, as well as advanced configurations, such as negative triangularity and ‘snowflake’ configurations. Our approach achieves accurate tracking of the location, current and shape for these configurations. We also demonstrate sustained ‘droplets’ on TCV, in which two separate plasmas are maintained simultaneously within the vessel. This represents a notable advance for tokamak feedback control, showing the potential of reinforcement learning to accelerate research in the fusion domain, and is one of the most challenging real-world systems to which reinforcement learning has been applied.</jats:p>
Palabras clave: Multidisciplinary.
Pp. 414-419
Resolving the gravitational redshift across a millimetre-scale atomic sample
Tobias Bothwell; Colin J. Kennedy; Alexander Aeppli; Dhruv Kedar; John M. Robinson; Eric Oelker; Alexander Staron; Jun Ye
Palabras clave: Multidisciplinary.
Pp. 420-424
Differential clock comparisons with a multiplexed optical lattice clock
Xin Zheng; Jonathan Dolde; Varun Lochab; Brett N. Merriman; Haoran Li; Shimon Kolkowitz
Palabras clave: Multidisciplinary.
Pp. 425-430
Scaling of the strange-metal scattering in unconventional superconductors
Jie Yuan; Qihong Chen; Kun Jiang; Zhongpei Feng; Zefeng Lin; Heshan Yu; Ge He; Jinsong Zhang; Xingyu Jiang; Xu Zhang; Yujun Shi; Yanmin Zhang; Mingyang Qin; Zhi Gang Cheng; Nobumichi Tamura; Yi-feng Yang; Tao Xiang; Jiangping Hu; Ichiro Takeuchi; Kui Jin; Zhongxian Zhao
Palabras clave: Multidisciplinary.
Pp. 431-436
Hydrogen trapping and embrittlement in high-strength Al alloys
Huan Zhao; Poulami Chakraborty; Dirk Ponge; Tilmann Hickel; Binhan Sun; Chun-Hung Wu; Baptiste Gault; Dierk Raabe
<jats:title>Abstract</jats:title><jats:p>Ever more stringent regulations on greenhouse gas emissions from transportation motivate efforts to revisit materials used for vehicles<jats:sup>1</jats:sup>. High-strength aluminium alloys often used in aircrafts could help reduce the weight of automobiles, but are susceptible to environmental degradation<jats:sup>2,3</jats:sup>. Hydrogen ‘embrittlement’ is often indicated as the main culprit<jats:sup>4</jats:sup>; however, the exact mechanisms underpinning failure are not precisely known: atomic-scale analysis of H inside an alloy remains a challenge, and this prevents deploying alloy design strategies to enhance the durability of the materials. Here we performed near-atomic-scale analysis of H trapped in second-phase particles and at grain boundaries in a high-strength 7xxx Al alloy. We used these observations to guide atomistic ab initio calculations, which show that the co-segregation of alloying elements and H favours grain boundary decohesion, and the strong partitioning of H into the second-phase particles removes solute H from the matrix, hence preventing H embrittlement. Our insights further advance the mechanistic understanding of H-assisted embrittlement in Al alloys, emphasizing the role of H traps in minimizing cracking and guiding new alloy design.</jats:p>
Palabras clave: Multidisciplinary.
Pp. 437-441
Warming weakens the night-time barrier to global fire
Jennifer K. Balch; John T. Abatzoglou; Maxwell B. Joseph; Michael J. Koontz; Adam L. Mahood; Joseph McGlinchy; Megan E. Cattau; A. Park Williams
Palabras clave: Multidisciplinary.
Pp. 442-448
Evolution of inner ear neuroanatomy of bats and implications for echolocation
R. Benjamin Sulser; Bruce D. Patterson; Daniel J. Urban; April I. Neander; Zhe-Xi Luo
Palabras clave: Multidisciplinary.
Pp. 449-454
Genome-edited powdery mildew resistance in wheat without growth penalties
Shengnan Li; Dexing Lin; Yunwei Zhang; Min Deng; Yongxing Chen; Bin Lv; Boshu Li; Yuan Lei; Yanpeng Wang; Long Zhao; Yueting Liang; Jinxing Liu; Kunling Chen; Zhiyong Liu; Jun Xiao; Jin-Long Qiu; Caixia Gao
Palabras clave: Multidisciplinary.
Pp. 455-460