Learning properties of ordered and disordered materials from multi-fidelity data (English)
- New search for: Chen, Chi
- New search for: Zuo, Yunxing
- New search for: Ye, Weike
- New search for: Li, Xiangguo
- New search for: Ong, Shyue Ping
- Further information on Ong, Shyue Ping:
- https://orcid.org/http://orcid.org/0000-0001-5726-2587
- New search for: Chen, Chi
- New search for: Zuo, Yunxing
- New search for: Ye, Weike
- New search for: Li, Xiangguo
- New search for: Ong, Shyue Ping
- Further information on Ong, Shyue Ping:
- https://orcid.org/http://orcid.org/0000-0001-5726-2587
In:
Nature Computational Science
;
1
, 1
;
46-53
;
2021
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ISSN:
- Article (Journal) / Electronic Resource
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Title:Learning properties of ordered and disordered materials from multi-fidelity data
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Additional title:Nat Comput Sci
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Contributors:Chen, Chi ( author ) / Zuo, Yunxing ( author ) / Ye, Weike ( author ) / Li, Xiangguo ( author ) / Ong, Shyue Ping ( author )
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Published in:Nature Computational Science ; 1, 1 ; 46-53
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Publisher:
- New search for: Nature Publishing Group US
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Place of publication:New York
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Publication date:2021-01-01
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Size:8 pages
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents – Volume 1, Issue 1
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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Celebrating today, inspiring tomorrow| 2021
- 2
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Open source ecosystems need equitable credit across contributionsCasari, Amanda / McLaughlin, Katie / Trujillo, Milo Z. / Young, Jean-Gabriel / Bagrow, James P. / Hébert-Dufresne, Laurent et al. | 2021
- 3
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Promises and perils of computational materials databasesHorton, M. K. / Dwaraknath, S. / Persson, K. A. et al. | 2021
- 6
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The importance of local context in COVID-19 modelsEggo, Rosalind M. / Dawa, Jeanette / Kucharski, Adam J. / Cucunuba, Zulma M. et al. | 2021
- 9
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Data curation during a pandemic and lessons learned from COVID-19Kraemer, Moritz U. G. / Scarpino, Samuel V. / Marivate, Vukosi / Gutierrez, Bernardo / Xu, Bo / Lee, Graham / Hawkins, Jared B. / Rivers, Caitlin / Pigott, David M. / Katz, Rebecca et al. | 2021
- 11
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Connecting Black women in computational biologyChirigati, Fernando / Rastogi, Ananya et al. | 2021
- 14
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Computationally designing synthesizable moleculesChirigati, Fernando et al. | 2021
- 15
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Characterizing true quantum computing powerPan, Jie et al. | 2021
- 16
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Parameter inference for systems biology modelsRastogi, Ananya et al. | 2021
- 17
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Modeling higher-order lattice anharmonicityPan, Jie et al. | 2021
- 18
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Discovering evolutionary hidden treasuresBalázsi, Gábor et al. | 2021
- 20
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Kinetics of amyloid β from deep learningMeng, Fanjie / Chung, Hoi Sung et al. | 2021
- 22
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Redefining false discoveries in cancer data analysesNajgebauer, Hanna / Perron, Umberto / Iorio, Francesco et al. | 2021
- 24
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Quantifying causality in data science with quasi-experimentsLiu, Tony / Ungar, Lyle / Kording, Konrad et al. | 2021
- 33
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Lessons from the COVID-19 pandemic for advancing computational drug repurposing strategiesGalindez, Gihanna / Matschinske, Julian / Rose, Tim Daniel / Sadegh, Sepideh / Salgado-Albarrán, Marisol / Späth, Julian / Baumbach, Jan / Pauling, Josch Konstantin et al. | 2021
- 42
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Voice-controlled quantum chemistryRaucci, Umberto / Valentini, Alessio / Pieri, Elisa / Weir, Hayley / Seritan, Stefan / Martínez, Todd J. et al. | 2021
- 46
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Learning properties of ordered and disordered materials from multi-fidelity dataChen, Chi / Zuo, Yunxing / Ye, Weike / Li, Xiangguo / Ong, Shyue Ping et al. | 2021
- 54
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Accelerating computational modeling and design of high-entropy alloysSingh, Rahul / Sharma, Aayush / Singh, Prashant / Balasubramanian, Ganesh / Johnson, Duane D. et al. | 2021
- 62
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Stable maintenance of hidden switches as a strategy to increase the gene expression stabilityKuwahara, Hiroyuki / Gao, Xin et al. | 2021
- 71
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A kinetic ensemble of the Alzheimer’s Aβ peptideLöhr, Thomas / Kohlhoff, Kai / Heller, Gabriella T. / Camilloni, Carlo / Vendruscolo, Michele et al. | 2021
- 79
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An efficient and effective method to identify significantly perturbed subnetworks in cancerYang, Le / Chen, Runpu / Goodison, Steve / Sun, Yijun et al. | 2021