About: Accelerated Discovery of Efficient Solar-cell Materials using Quantum and Machine-learning Methods

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scientific article published on 01 January 2019

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) научна статия (bg) artículo científico publicado en 2019 (es) article scientifique (publié 2019) (fr) artigo científico (publicado na 2019) (pt) articolo scientifico (pubblicato il 2019) (it) artikull shkencor i botuar më 01 janar 2019 (sq) scientific article published on 01 January 2019 (en) 2019 թվականին հրատարակված գիտական հոդված (hy) artículu científicu espublizáu en xineru de 2019 (ast) im Januar 2019 veröffentlichter wissenschaftlicher Artikel (de) наукова стаття, опублікована 1 січня 2019 (uk)
publication date	wds:Q90283197-C6AB63C8-465A-43DC-B2A9-B40D975258A4
publication date	2019-01-01 00:00:00Z (xsd:dateTime)
cites work	wds:Q90283197-044C72EA-AE0B-4A8C-9879-A0BC126FF048 wds:Q90283197-0781CAF0-9642-4382-A11D-38789133D14F wds:Q90283197-0B127E70-DF6A-4FB8-940A-5A5EC733EEA1 wds:Q90283197-0D873892-5C60-448C-8D4D-7C2718B9D1EA wds:Q90283197-310BD452-2DC2-46FC-8882-07E03517490C wds:Q90283197-374373FB-9D83-4433-AF30-32427BB93CBC wds:Q90283197-69144EB8-818C-48F7-B737-917DCC058C4E wds:Q90283197-697C70D4-1895-4AE5-A222-6E5667A9354E wds:Q90283197-70CB1E6F-E02F-4696-B551-50DABB26C9BD wds:Q90283197-865F0C43-90F2-4F7A-9419-759FED582537 wds:Q90283197-89D989D7-5ADB-45D1-B54B-18695651EB95 wds:Q90283197-9D51801E-8958-4A05-A919-F16CB01600D6 wds:Q90283197-A0569D8E-A096-4408-B4E3-C62976370791 wds:Q90283197-AFA3B287-9400-4185-B578-4C07182AF9D2 wds:Q90283197-B6E2C919-A2A9-48D7-B441-003104BC0139 wds:Q90283197-CC6A43F9-616F-49B0-8173-5BCF5A6341A3 wds:Q90283197-D374540B-902F-48CA-9817-74269844A7B1 wds:Q90283197-E8A2569E-6B20-4EFF-AA75-DF44B78006E8 wds:Q90283197-FF71B9A5-129F-4B55-925B-527A7DA7420F
cites work	Crystallography Open Database (COD): an open-access collection of crystal structures and platform for world-wide collaboration Accurate Band Gaps of Semiconductors and Insulators with a Semilocal Exchange-Correlation Potential Efficient iterative schemes for ab initio total-energy calculations using a plane-wave basis set Identification of potential photovoltaic absorbers based on first-principles spectroscopic screening of materials New developments in the Inorganic Crystal Structure Database (ICSD): accessibility in support of materials research and design. Research opportunities to advance solar energy utilization Machine learning bandgaps of double perovskites First-principles analysis of the spectroscopic limited maximum efficiency of photovoltaic absorber layers for CuAu-like chalcogenides and silicon High-throughput Identification and Characterization of Two-dimensional Materials using Density functional theory. Computational screening of high-performance optoelectronic materials using OptB88vdW and TB-mBJ formalisms. Machine learning for molecular and materials science A Statistical Learning Framework for Materials Science: Application to Elastic Moduli of k-nary Inorganic Polycrystalline Compounds Inorganic materials: The quest for new functionality Elastic properties of bulk and low-dimensional materials using Van der Waals density functional Cu-In Halide Perovskite Solar Absorbers. Backward monte carlo calculations of the polarization characteristics of the radiation emerging from spherical-shell atmospheres Convergence and machine learning predictions of Monkhorst-Pack k-points and plane-wave cut-off in high-throughput DFT calculations Solar cell designs by maximizing energy production based on machine learning clustering of spectral variations High-throughput Discovery of Topologically Non-trivial Materials using Spin-orbit Spillage
author name string	wds:Q90283197-40F9D38C-7FB6-46DF-8BAE-BF48EC2AE038 wds:Q90283197-77434659-CB5A-4EEF-88A7-81F2480DF9C8 wds:Q90283197-80084C99-220C-4D28-9F59-8B4FE5DC56DD wds:Q90283197-C26B2991-DB83-47B3-BA4F-51C8D0F25FC8 wds:Q90283197-F1C5ABF8-39EE-4837-8387-7A1400BD959F
author name string	Jie Jiang Ruth Pachter Dirk Lamoen Francesca Tavazza Marnik Bercx
rdfs:label	Accelerated Discovery of Efficient Solar-cell Materials using Quantum and Machine-learning Methods (en) Accelerated Discovery of Efficient Solar-cell Materials using Quantum and Machine-learning Methods (nl) Accelerated Discovery of Efficient Solar-cell Materials using Quantum and Machine-learning Methods (sq)
skos:prefLabel	Accelerated Discovery of Efficient Solar-cell Materials using Quantum and Machine-learning Methods (en) Accelerated Discovery of Efficient Solar-cell Materials using Quantum and Machine-learning Methods (nl) Accelerated Discovery of Efficient Solar-cell Materials using Quantum and Machine-learning Methods (sq)
name	Accelerated Discovery of Efficient Solar-cell Materials using Quantum and Machine-learning Methods (en) Accelerated Discovery of Efficient Solar-cell Materials using Quantum and Machine-learning Methods (nl) Accelerated Discovery of Efficient Solar-cell Materials using Quantum and Machine-learning Methods (sq)
author	wds:Q90283197-2A73D118-00CE-4320-8B68-5653EBDF3A86
author	Kamal Choudhary
title	wds:Q90283197-218CD80D-9C1C-427A-B217-706D0B83CE7C
title	Accelerated Discovery of Efficient Solar-cell Materials using Quantum and Machine-learning Methods (en)
instance of	wds:Q90283197-4AA7223E-8F67-498B-B92B-C0E025960739
instance of	scholarly article
main subject	wds:Q90283197-C69E5F14-7866-43CB-BA56-D6C43D2334D7
main subject	machine learning
PubMed ID	wds:Q90283197-3CA18B97-FB18-4A57-A316-1928225CEF8A
PubMed ID	http://rdf.ncbi.nlm.nih.gov/pubchem/reference/32165788
PubMed ID	32165788
published in	wds:Q90283197-7E6620C7-95F0-47C5-98BF-8881F0FE91D6
published in	Chemistry of Materials
issue	wds:Q90283197-A514D03B-53B8-4C50-809A-D77AC3DE4637
volume	wds:Q90283197-0EF35101-00FB-4552-9D53-D25859CC743F
issue	15
volume	31
DOI	wds:Q90283197-829FADBF-0A35-459F-B386-BAFD40A27650
DOI	http://dx.doi.org/10.1021/ACS.CHEMMATER.9B02166
DOI	10.1021/ACS.CHEMMATER.9B02166
arXiv ID	wds:Q90283197-64F9D2C6-8BB8-4E11-81BF-71FE9A941AFB
arXiv ID	1903.06651
PMCID	wds:Q90283197-8587B5CD-8A16-4309-BB40-2A08789FAD6D
PMCID	7067045
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q90283197
is cites work of	Ab Initio Simulations and Materials Chemistry in the Age of Big Data Designing and understanding light-harvesting devices with machine learning High-throughput Discovery of Topologically Non-trivial Materials using Spin-orbit Spillage

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