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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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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

Tabla de contenidos

The importance of lake breach floods for valley incision on early Mars

Timothy A. GoudgeORCID; Alexander M. MorganORCID; Gaia Stucky de QuayORCID; Caleb I. FassettORCID

Palabras clave: Multidisciplinary.

Pp. 645-649

Imaging two-dimensional generalized Wigner crystals

Hongyuan LiORCID; Shaowei LiORCID; Emma C. ReganORCID; Danqing Wang; Wenyu Zhao; Salman KahnORCID; Kentaro Yumigeta; Mark Blei; Takashi TaniguchiORCID; Kenji WatanabeORCID; Sefaattin TongayORCID; Alex Zettl; Michael F. CrommieORCID; Feng WangORCID

Palabras clave: Multidisciplinary.

Pp. 650-654

Non-Hermitian topological whispering gallery

Bolun HuORCID; Zhiwang ZhangORCID; Haixiao Zhang; Liyang Zheng; Wei Xiong; Zichong Yue; Xiaoyu Wang; Jianyi Xu; Ying ChengORCID; Xiaojun LiuORCID; Johan ChristensenORCID

Palabras clave: Multidisciplinary.

Pp. 655-659

Extremely anisotropic van der Waals thermal conductors

Shi En Kim; Fauzia Mujid; Akash RaiORCID; Fredrik Eriksson; Joonki SuhORCID; Preeti Poddar; Ariana Ray; Chibeom Park; Erik FranssonORCID; Yu Zhong; David A. MullerORCID; Paul ErhartORCID; David G. CahillORCID; Jiwoong ParkORCID

<jats:title>Abstract</jats:title><jats:p>The densification of integrated circuits requires thermal management strategies and high thermal conductivity materials<jats:sup>1–3</jats:sup>. Recent innovations include the development of materials with thermal conduction anisotropy, which can remove hotspots along the fast-axis direction and provide thermal insulation along the slow axis<jats:sup>4,5</jats:sup>. However, most artificially engineered thermal conductors have anisotropy ratios much smaller than those seen in naturally anisotropic materials. Here we report extremely anisotropic thermal conductors based on large-area van der Waals thin films with random interlayer rotations, which produce a room-temperature thermal anisotropy ratio close to 900 in MoS<jats:sub>2</jats:sub>, one of the highest ever reported. This is enabled by the interlayer rotations that impede the through-plane thermal transport, while the long-range intralayer crystallinity maintains high in-plane thermal conductivity. We measure ultralow thermal conductivities in the through-plane direction for MoS<jats:sub>2</jats:sub> (57 ± 3 mW m<jats:sup>−1</jats:sup> K<jats:sup>−1</jats:sup>) and WS<jats:sub>2</jats:sub> (41 ± 3 mW m<jats:sup>−1</jats:sup> K<jats:sup>−1</jats:sup>) films, and we quantitatively explain these values using molecular dynamics simulations that reveal one-dimensional glass-like thermal transport. Conversely, the in-plane thermal conductivity in these MoS<jats:sub>2</jats:sub> films is close to the single-crystal value. Covering nanofabricated gold electrodes with our anisotropic films prevents overheating of the electrodes and blocks heat from reaching the device surface. Our work establishes interlayer rotation in crystalline layered materials as a new degree of freedom for engineering-directed heat transport in solid-state systems.</jats:p>

Palabras clave: Multidisciplinary.

Pp. 660-665

The role of charge recombination to triplet excitons in organic solar cells

Alexander J. GillettORCID; Alberto PriviteraORCID; Rishat Dilmurat; Akchheta Karki; Deping QianORCID; Anton PershinORCID; Giacomo LondiORCID; William K. MyersORCID; Jaewon Lee; Jun Yuan; Seo-Jin Ko; Moritz K. Riede; Feng GaoORCID; Guillermo C. Bazan; Akshay RaoORCID; Thuc-Quyen NguyenORCID; David BeljonneORCID; Richard H. FriendORCID

Palabras clave: Multidisciplinary.

Pp. 666-671

Skilful precipitation nowcasting using deep generative models of radar

Suman RavuriORCID; Karel LencORCID; Matthew WillsonORCID; Dmitry KanginORCID; Remi Lam; Piotr Mirowski; Megan Fitzsimons; Maria Athanassiadou; Sheleem Kashem; Sam Madge; Rachel Prudden; Amol MandhaneORCID; Aidan Clark; Andrew Brock; Karen Simonyan; Raia Hadsell; Niall Robinson; Ellen Clancy; Alberto Arribas; Shakir MohamedORCID

<jats:title>Abstract</jats:title><jats:p>Precipitation nowcasting, the high-resolution forecasting of precipitation up to two hours ahead, supports the real-world socioeconomic needs of many sectors reliant on weather-dependent decision-making<jats:sup>1,2</jats:sup>. State-of-the-art operational nowcasting methods typically advect precipitation fields with radar-based wind estimates, and struggle to capture important non-linear events such as convective initiations<jats:sup>3,4</jats:sup>. Recently introduced deep learning methods use radar to directly predict future rain rates, free of physical constraints<jats:sup>5,6</jats:sup>. While they accurately predict low-intensity rainfall, their operational utility is limited because their lack of constraints produces blurry nowcasts at longer lead times, yielding poor performance on rarer medium-to-heavy rain events. Here we present a deep generative model for the probabilistic nowcasting of precipitation from radar that addresses these challenges. Using statistical, economic and cognitive measures, we show that our method provides improved forecast quality, forecast consistency and forecast value. Our model produces realistic and spatiotemporally consistent predictions over regions up to 1,536 km × 1,280 km and with lead times from 5–90 min ahead. Using a systematic evaluation by more than 50 expert meteorologists, we show that our generative model ranked first for its accuracy and usefulness in 89% of cases against two competitive methods. When verified quantitatively, these nowcasts are skillful without resorting to blurring. We show that generative nowcasting can provide probabilistic predictions that improve forecast value and support operational utility, and at resolutions and lead times where alternative methods struggle.</jats:p>

Palabras clave: Multidisciplinary.

Pp. 672-677

Mercury stable isotopes constrain atmospheric sources to the ocean

Martin JiskraORCID; Lars-Eric Heimbürger-BoavidaORCID; Marie-Maëlle Desgranges; Mariia V. Petrova; Aurélie Dufour; Beatriz Ferreira-Araujo; Jérémy Masbou; Jérôme Chmeleff; Melilotus Thyssen; David PointORCID; Jeroen E. SonkeORCID

Palabras clave: Multidisciplinary.

Pp. 678-682

Fine-root traits in the global spectrum of plant form and function

Carlos P. CarmonaORCID; C. Guillermo Bueno; Aurele ToussaintORCID; Sabrina Träger; Sandra DíazORCID; Mari MooraORCID; Alison D. Munson; Meelis PärtelORCID; Martin ZobelORCID; Riin TammeORCID

Palabras clave: Multidisciplinary.

Pp. 683-687

Pollinators contribute to the maintenance of flowering plant diversity

Na WeiORCID; Rainee L. KaczorowskiORCID; Gerardo Arceo-Gómez; Elizabeth M. O’Neill; Rebecca A. Hayes; Tia-Lynn AshmanORCID

Palabras clave: Multidisciplinary.

Pp. 688-692

Genetic and epigenetic coordination of cortical interneuron development

Kathryn C. Allaway; Mariano I. Gabitto; Orly Wapinski; Giuseppe SaldiORCID; Chen-Yu WangORCID; Rachel C. Bandler; Sherry Jingjing WuORCID; Richard BonneauORCID; Gord FishellORCID

Palabras clave: Multidisciplinary.

Pp. 693-697