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Refinado por: assunto: Science & Technology - Other Topics remover
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Highly-stretchable 3D-architected Mechanical Metamaterials
Highly-stretchable 3D-architected Mechanical Metamaterials
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Highly-stretchable 3D-architected Mechanical Metamaterials

Jiang, Yanhui ; Wang, Qiming

Scientific reports, 2016-09, Vol.6 (1), p.34147-34147, Article 34147 [Periódico revisado por pares]

England: Nature Publishing Group

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2
Compositional engineering of perovskite materials for high-performance solar cells
Compositional engineering of perovskite materials for high-performance solar cells
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Compositional engineering of perovskite materials for high-performance solar cells

Jeon, Nam Joong ; Noh, Jun Hong ; Yang, Woon Seok ; Kim, Young Chan ; Ryu, Seungchan ; Seo, Jangwon ; Seok, Sang Il

Nature (London), 2015-01, Vol.517 (7535), p.476-480 [Periódico revisado por pares]

England: Nature Publishing Group

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3
Modern microprocessor built from complementary carbon nanotube transistors
Modern microprocessor built from complementary carbon nanotube transistors
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Modern microprocessor built from complementary carbon nanotube transistors

Hills, Gage ; Lau, Christian ; Wright, Andrew ; Fuller, Samuel ; Bishop, Mindy D ; Srimani, Tathagata ; Kanhaiya, Pritpal ; Ho, Rebecca ; Amer, Aya ; Stein, Yosi ; Murphy, Denis ; Arvind ; Chandrakasan, Anantha ; Shulaker, Max M

Nature (London), 2019-08, Vol.572 (7771), p.595-602 [Periódico revisado por pares]

England: Nature Publishing Group

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4
Engineering 2D Architectures toward High‐Performance Micro‐Supercapacitors
Engineering 2D Architectures toward High‐Performance Micro‐Supercapacitors
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Engineering 2D Architectures toward High‐Performance Micro‐Supercapacitors

Da, Yumin ; Liu, Jinxin ; Zhou, Lu ; Zhu, Xiaohui ; Chen, Xiaodong ; Fu, Lei

Advanced materials (Weinheim), 2019-01, Vol.31 (1), p.e1802793-n/a [Periódico revisado por pares]

Germany: Wiley Subscription Services, Inc

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5
Predicting disruptive instabilities in controlled fusion plasmas through deep learning
Predicting disruptive instabilities in controlled fusion plasmas through deep learning
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Predicting disruptive instabilities in controlled fusion plasmas through deep learning

Kates-Harbeck, Julian ; Svyatkovskiy, Alexey ; Tang, William

Nature (London), 2019-04, Vol.568 (7753), p.526-531 [Periódico revisado por pares]

England: Nature Publishing Group

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6
Anode Interface Engineering and Architecture Design for High‐Performance Lithium–Sulfur Batteries
Anode Interface Engineering and Architecture Design for High‐Performance Lithium–Sulfur Batteries
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Anode Interface Engineering and Architecture Design for High‐Performance Lithium–Sulfur Batteries

Zhao, Yuanyuan ; Ye, Yusheng ; Wu, Feng ; Li, Yuejiao ; Li, Li ; Chen, Renjie

Advanced materials (Weinheim), 2019-03, Vol.31 (12), p.e1806532-n/a [Periódico revisado por pares]

Germany: Wiley Subscription Services, Inc

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7
Improving fatty acids production by engineering dynamic pathway regulation and metabolic control
Improving fatty acids production by engineering dynamic pathway regulation and metabolic control
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Improving fatty acids production by engineering dynamic pathway regulation and metabolic control

Xu, Peng ; Li, Lingyun ; Zhang, Fuming ; Stephanopoulos, Gregory ; Koffas, Mattheos

Proceedings of the National Academy of Sciences - PNAS, 2014-08, Vol.111 (31), p.11299-11304 [Periódico revisado por pares]

United States: National Academy of Sciences

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8
Large-scale transportation network congestion evolution prediction using deep learning theory
Large-scale transportation network congestion evolution prediction using deep learning theory
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Large-scale transportation network congestion evolution prediction using deep learning theory

Ma, Xiaolei ; Yu, Haiyang ; Wang, Yunpeng ; Wang, Yinhai Gomez-Gardenes, Jesus

PloS one, 2015-03, Vol.10 (3), p.e0119044-e0119044 [Periódico revisado por pares]

United States: Public Library of Science

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9
Printing and Prototyping of Tissues and Scaffolds
Printing and Prototyping of Tissues and Scaffolds
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Printing and Prototyping of Tissues and Scaffolds

Derby, Brian

Science (American Association for the Advancement of Science), 2012-11, Vol.338 (6109), p.921-926 [Periódico revisado por pares]

United States: American Association for the Advancement of Science

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10
Nonlinear material behaviour of spider silk yields robust webs
Nonlinear material behaviour of spider silk yields robust webs
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Nonlinear material behaviour of spider silk yields robust webs

CRANFORD, Steven W ; TARAKANOVA, Anna ; PUGNO, Nicola M ; BUEHLER, Markus J

Nature (London), 2012-02, Vol.482 (7383), p.72-76 [Periódico revisado por pares]

London: Nature Publishing Group

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