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:	MATHEMATICS
Format:	Others Erratum
Published:	Nature Research 2020
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/171573
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-171573
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spelling	sg-nus-scholar.10635-1715732024-11-12T21:35:10Z 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 MATHEMATICS ELECTRICAL AND COMPUTER ENGINEERING SOLAR ENERGY RESEARCH INST OF S'PORE MECHANICAL ENGINEERING Ms Shuk Fan Cecilia Wong 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 Erratum 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	MATHEMATICS
author_facet	MATHEMATICS 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 Erratum
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
_version_	1821211960510775296

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)

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