Author Correction: Embedding physics domain knowledge into a Bayesian network enables layer-by-layer process innovation for photovoltaics (npj Computational Materials, (2020), 6, 1, (9), 10.1038/s41524-020-0277-x)

10.1038/s41524-020-00349-9

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Main Authors: Ren, Z, Oviedo, F, Thway, M, Tian, SIP, Wang, Y, Xue, H, Perea, JD, Layurova, M, Heumueller, T, Birgersson, E, Aberle, AG, Brabec, CJ, Stangl, R, Li, Q, Sun, S, Lin, F, Peters, IM, Buonassisi, T
Other Authors: ELECTRICAL AND COMPUTER ENGINEERING
Format: Others
Published: Nature Research 2020
Online Access:https://scholarbank.nus.edu.sg/handle/10635/171573
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-1715732024-04-25T01:32:01Z Author Correction: Embedding physics domain knowledge into a Bayesian network enables layer-by-layer process innovation for photovoltaics (npj Computational Materials, (2020), 6, 1, (9), 10.1038/s41524-020-0277-x) Ren, Z Oviedo, F Thway, M Tian, SIP Wang, Y Xue, H Perea, JD Layurova, M Heumueller, T Birgersson, E Aberle, AG Brabec, CJ Stangl, R Li, Q Sun, S Lin, F Peters, IM Buonassisi, T ELECTRICAL AND COMPUTER ENGINEERING MATHEMATICS MECHANICAL ENGINEERING SOLAR ENERGY RESEARCH INST OF S'PORE 10.1038/s41524-020-00349-9 npj Computational Materials 6 1 2020-07-17T08:22:20Z 2020-07-17T08:22:20Z 2020-12-01 2020-07-16T01:50:25Z Others Ren, Z, Oviedo, F, Thway, M, Tian, SIP, Wang, Y, Xue, H, Perea, JD, Layurova, M, Heumueller, T, Birgersson, E, Aberle, AG, Brabec, CJ, Stangl, R, Li, Q, Sun, S, Lin, F, Peters, IM, Buonassisi, T (2020-12-01). Author Correction: Embedding physics domain knowledge into a Bayesian network enables layer-by-layer process innovation for photovoltaics (npj Computational Materials, (2020), 6, 1, (9), 10.1038/s41524-020-0277-x). npj Computational Materials 6 (1). ScholarBank@NUS Repository. https://doi.org/10.1038/s41524-020-00349-9 20573960 https://scholarbank.nus.edu.sg/handle/10635/171573 Nature Research Elements
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
description 10.1038/s41524-020-00349-9
author2 ELECTRICAL AND COMPUTER ENGINEERING
author_facet ELECTRICAL AND COMPUTER ENGINEERING
Ren, Z
Oviedo, F
Thway, M
Tian, SIP
Wang, Y
Xue, H
Perea, JD
Layurova, M
Heumueller, T
Birgersson, E
Aberle, AG
Brabec, CJ
Stangl, R
Li, Q
Sun, S
Lin, F
Peters, IM
Buonassisi, T
format Others
author Ren, Z
Oviedo, F
Thway, M
Tian, SIP
Wang, Y
Xue, H
Perea, JD
Layurova, M
Heumueller, T
Birgersson, E
Aberle, AG
Brabec, CJ
Stangl, R
Li, Q
Sun, S
Lin, F
Peters, IM
Buonassisi, T
spellingShingle Ren, Z
Oviedo, F
Thway, M
Tian, SIP
Wang, Y
Xue, H
Perea, JD
Layurova, M
Heumueller, T
Birgersson, E
Aberle, AG
Brabec, CJ
Stangl, R
Li, Q
Sun, S
Lin, F
Peters, IM
Buonassisi, T
Author Correction: Embedding physics domain knowledge into a Bayesian network enables layer-by-layer process innovation for photovoltaics (npj Computational Materials, (2020), 6, 1, (9), 10.1038/s41524-020-0277-x)
author_sort Ren, Z
title Author Correction: Embedding physics domain knowledge into a Bayesian network enables layer-by-layer process innovation for photovoltaics (npj Computational Materials, (2020), 6, 1, (9), 10.1038/s41524-020-0277-x)
title_short Author Correction: Embedding physics domain knowledge into a Bayesian network enables layer-by-layer process innovation for photovoltaics (npj Computational Materials, (2020), 6, 1, (9), 10.1038/s41524-020-0277-x)
title_full Author Correction: Embedding physics domain knowledge into a Bayesian network enables layer-by-layer process innovation for photovoltaics (npj Computational Materials, (2020), 6, 1, (9), 10.1038/s41524-020-0277-x)
title_fullStr Author Correction: Embedding physics domain knowledge into a Bayesian network enables layer-by-layer process innovation for photovoltaics (npj Computational Materials, (2020), 6, 1, (9), 10.1038/s41524-020-0277-x)
title_full_unstemmed Author Correction: Embedding physics domain knowledge into a Bayesian network enables layer-by-layer process innovation for photovoltaics (npj Computational Materials, (2020), 6, 1, (9), 10.1038/s41524-020-0277-x)
title_sort author correction: embedding physics domain knowledge into a bayesian network enables layer-by-layer process innovation for photovoltaics (npj computational materials, (2020), 6, 1, (9), 10.1038/s41524-020-0277-x)
publisher Nature Research
publishDate 2020
url https://scholarbank.nus.edu.sg/handle/10635/171573
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