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1
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 [Revista revisada por pares]

England: Nature Publishing Group

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2
A Critical Review of the Use of Virtual Reality in Construction Engineering Education and Training
A Critical Review of the Use of Virtual Reality in Construction Engineering Education and Training
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A Critical Review of the Use of Virtual Reality in Construction Engineering Education and Training

Wang, Peng ; Wu, Peng ; Wang, Jun ; Chi, Hung-Lin ; Wang, Xiangyu

International journal of environmental research and public health, 2018-06, Vol.15 (6), p.1204 [Revista revisada por pares]

Switzerland: MDPI AG

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3
SymPy: symbolic computing in Python
SymPy: symbolic computing in Python
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SymPy: symbolic computing in Python

Meurer, Aaron ; Smith, Christopher P ; Paprocki, Mateusz ; Certík, Ondrej ; Kirpichev, Sergey B ; Rocklin, Matthew ; Kumar, AMiT ; Ivanov, Sergiu ; Moore, Jason K ; Singh, Sartaj ; Rathnayake, Thilina ; Vig, Sean ; Granger, Brian E ; Muller, Richard P ; Bonazzi, Francesco ; Gupta, Harsh ; Vats, Shivam ; Johansson, Fredrik ; Pedregosa, Fabian ; Curry, Matthew J ; Terrel, Andy R ; Roucka, Stepán ; Saboo, Ashutosh ; Fernando, Isuru ; Kulal, Sumith ; Cimrman, Robert ; Scopatz, Anthony

PeerJ Comput.Sci, 2017-01, Vol.3, p.e103, Article e103 [Revista revisada por pares]

San Diego: PeerJ. Ltd

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4
A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses
A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses
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A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses

Qiao, Ning ; Mostafa, Hesham ; Corradi, Federico ; Osswald, Marc ; Stefanini, Fabio ; Sumislawska, Dora ; Indiveri, Giacomo

Frontiers in neuroscience, 2015-04, Vol.9, p.141-141 [Revista revisada por pares]

Switzerland: Frontiers Research Foundation

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5
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 [Revista revisada por pares]

United States: National Academy of Sciences

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6
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 [Revista revisada por pares]

United States: Public Library of Science

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7
Walking along chromosomes with super-resolution imaging, contact maps, and integrative modeling
Walking along chromosomes with super-resolution imaging, contact maps, and integrative modeling
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Walking along chromosomes with super-resolution imaging, contact maps, and integrative modeling

Nir, Guy ; Farabella, Irene ; Pérez Estrada, Cynthia ; Ebeling, Carl G ; Beliveau, Brian J ; Sasaki, Hiroshi M ; Lee, S Dean ; Nguyen, Son C ; McCole, Ruth B ; Chattoraj, Shyamtanu ; Erceg, Jelena ; AlHaj Abed, Jumana ; Martins, Nuno M C ; Nguyen, Huy Q ; Hannan, Mohammed A ; Russell, Sheikh ; Durand, Neva C ; Rao, Suhas S P ; Kishi, Jocelyn Y ; Soler-Vila, Paula ; Di Pierro, Michele ; Onuchic, José N ; Callahan, Steven P ; Schreiner, John M ; Stuckey, Jeff A ; Yin, Peng ; Aiden, Erez Lieberman ; Marti-Renom, Marc A ; Wu, C-Ting Copenhaver, Gregory P.

PLoS genetics, 2018-12, Vol.14 (12), p.e1007872-e1007872 [Revista revisada por pares]

United States: Public Library of Science

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8
TopologyNet: Topology based deep convolutional and multi-task neural networks for biomolecular property predictions
TopologyNet: Topology based deep convolutional and multi-task neural networks for biomolecular property predictions
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TopologyNet: Topology based deep convolutional and multi-task neural networks for biomolecular property predictions

Cang, Zixuan ; Wei, Guo-Wei Dunbrack, Roland L.

PLoS computational biology, 2017-07, Vol.13 (7), p.e1005690-e1005690 [Revista revisada por pares]

United States: Public Library of Science

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9
Deep Learning Spectroscopy: Neural Networks for Molecular Excitation Spectra
Deep Learning Spectroscopy: Neural Networks for Molecular Excitation Spectra
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Deep Learning Spectroscopy: Neural Networks for Molecular Excitation Spectra

Ghosh, Kunal ; Stuke, Annika ; Todorović, Milica ; Jørgensen, Peter Bjørn ; Schmidt, Mikkel N. ; Vehtari, Aki ; Rinke, Patrick

Advanced science, 2019-05, Vol.6 (9), p.1801367-n/a [Revista revisada por pares]

Germany: John Wiley & Sons, Inc

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10
Deep learning approach to peripheral leukocyte recognition
Deep learning approach to peripheral leukocyte recognition
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Deep learning approach to peripheral leukocyte recognition

Wang, Qiwei ; Bi, Shusheng ; Sun, Minglei ; Wang, Yuliang ; Wang, Di ; Yang, Shaobao Zhang, Jie

PloS one, 2019-06, Vol.14 (6), p.e0218808-e0218808 [Revista revisada por pares]

United States: Public Library of Science

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