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  Machine learning and the physical sciences

Carleo, G., Cirac, J. I., Cranmer, K., Daudet, L., Schuld, M., Tishby, N., et al. (2019). Machine learning and the physical sciences. Reviews of Modern Physics, 91(4): 045002. doi:10.1103/RevModPhys.91.045002.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0005-B0C5-5 Version Permalink: https://hdl.handle.net/21.11116/0000-0005-B0C6-4
Genre: Journal Article

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 Creators:
Carleo, Giuseppe1, Author
Cirac, J. Ignacio2, Author           
Cranmer, Kyle1, Author
Daudet, Laurent1, Author
Schuld, Maria1, Author
Tishby, Naftali1, Author
Vogt-Maranto, Leslie1, Author
Zdeborova, Lenka1, Author
Affiliations:
1external, ou_persistent22              
2Theory, Max Planck Institute of Quantum Optics, Max Planck Society, ou_1445571              

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Language(s): eng - English
 Dates: 2019-03-152019-12-062019-12
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1103/RevModPhys.91.045002
URI: https://journals.aps.org/rmp/abstract/10.1103/RevModPhys.91.045002
arXiv: 1903.10563
Other: 5888
 Degree: -

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Grant ID : No. NSF PHY- 1748958, No. ACI-1450310, No. OAC-1836650, and No. DMR-1420073
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Funding organization : National Science Foundation
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Grant ID : W911NF-13-1-0387
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Funding organization : U.S. Army Research Office
Project name : ERC
Grant ID : 714608-SMiLe
Funding program : European Unions Horizon 2020 Research and Innovation Programme
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Title: Reviews of Modern Physics
  Other : Rev. Modern Phys.
Source Genre: Journal
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Publ. Info: Minneapolis : American Physical Society
Pages: - Volume / Issue: 91 (4) Sequence Number: 045002 Start / End Page: - Identifier: ISSN: 0034-6861
CoNE: https://pure.mpg.de/cone/journals/resource/954925438533