About: The Harvard Clean Energy Project: Large-Scale Computational Screening and Design of Organic Photovoltaics on the World Community Grid

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article by Johannes Hachmann et al published 22 August 2011 in Journal of Physical Chemistry Letters

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) наукова стаття, опублікована в серпні 2011 (uk) article scientifique publié en 2011 (fr) im August 2011 veröffentlichter wissenschaftlicher Artikel (de) article by Johannes Hachmann et al published 22 August 2011 in Journal of Physical Chemistry Letters (en)
publication date	wds:Q60163897-60B542CB-B615-44E8-9123-B5093AF5A4F7
publication date	2011-08-22 00:00:00Z (xsd:dateTime)
cites work	wds:Q60163897-D8705802-0118-4949-AC3C-E9476F71F611 wds:Q60163897-DCAC46BC-E9DF-4078-8CE9-F93FD7D6D837
cites work	SMILES, a chemical language and information system. 1. Introduction to methodology and encoding rules Chemical Descriptors Library (CDL): a generic, open source software library for chemical informatics
author name string	wds:Q60163897-6A58578C-E911-4892-917C-CB38476CE8B9 wds:Q60163897-9C26B31A-8DE0-4F89-B7C6-8A6C375EE986 wds:Q60163897-B167C433-1910-4803-9C2D-6DE76912D59B
author name string	Sule Atahan-Evrenk Aryeh Gold-Parker Roel S. Sánchez-Carrera
rdfs:label	The Harvard Clean Energy Project: Large-Scale Computational Screening and Design of Organic Photovoltaics on the World Community Grid (en) The Harvard Clean Energy Project: Large-Scale Computational Screening and Design of Organic Photovoltaics on the World Community Grid (nl)
skos:prefLabel	The Harvard Clean Energy Project: Large-Scale Computational Screening and Design of Organic Photovoltaics on the World Community Grid (en) The Harvard Clean Energy Project: Large-Scale Computational Screening and Design of Organic Photovoltaics on the World Community Grid (nl)
name	The Harvard Clean Energy Project: Large-Scale Computational Screening and Design of Organic Photovoltaics on the World Community Grid (en) The Harvard Clean Energy Project: Large-Scale Computational Screening and Design of Organic Photovoltaics on the World Community Grid (nl)
author	wds:Q60163897-01E4DB8D-6420-481F-862F-542DF5505780 wds:Q60163897-5090E95E-51AA-4307-8714-B12D2C9E9C5F wds:Q60163897-5F304181-F866-4CB4-9CA1-530FE78CB110 wds:Q60163897-91F03D5E-09DD-4BD1-B024-0C62ECB32CAC wds:Q60163897-D990D74B-5BB9-4436-AFFD-F83DE771973D wds:Q60163897-E59D73AB-7C8E-4CBA-A8FE-EE1CEE483020
author	Alán Aspuru-Guzik Roberto Olivares-Amaya Leslie Vogt Johannes Hachmann Carlos Amador-Bedolla Anna M. Brockway
title	wds:Q60163897-4E7DA6B0-AB79-4CDE-8F96-4E8A42C14E97
title	The Harvard Clean Energy Project: Large-Scale Computational Screening and Design of Organic Photovoltaics on the World Community Grid (en)
page(s)	wds:Q60163897-C7517919-0D06-40FF-8A00-C5F2D6EBA8B5
page(s)	2241-2251
instance of	wds:Q60163897-E7E1FD02-329A-47F1-B0A0-534A1B6AD1C8
instance of	scholarly article
main subject	wds:Q60163897-032E0C7E-13D0-4948-86E4-E1A21B029702 wds:Q60163897-70DFFE3F-68D4-445A-8B80-56172BBEE11C
main subject	photovoltaics sustainable energy
published in	wds:Q60163897-97256374-BC40-40A5-8CA4-24288FA2A608
published in	Journal of Physical Chemistry Letters
issue	wds:Q60163897-F755139B-ABEE-4470-8EA0-66DA03E532C7
volume	wds:Q60163897-E9603DC7-FDD6-423C-96CB-911AEF627B2E
issue	17
volume	2
number of pages	wds:Q60163897-B57CD799-D934-46B0-96FE-F0DF615CF14C
number of pages	11 (xsd:decimal)
DOI	wds:Q60163897-A58CA603-BB5A-4143-A1B3-1F9B6BDFA43C
DOI	http://dx.doi.org/10.1021/JZ200866S
DOI	10.1021/JZ200866S
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q60163897
is cites work of	Quantum chemistry structures and properties of 134 kilo molecules Pairing of near-ultraviolet solar cells with electrochromic windows for smart management of the solar spectrum Functional materials discovery using energy-structure-function maps Quantum-chemical insights from deep tensor neural networks Design of efficient molecular organic light-emitting diodes by a high-throughput virtual screening and experimental approach. Mapping and classifying molecules from a high-throughput structural database. Open chemistry: RESTful web APIs, JSON, NWChem and the modern web application. Machine learning for molecular and materials science Standards-based curation of a decade-old digital repository dataset of molecular information The Harvard organic photovoltaic dataset Boson sampling for molecular vibronic spectra The dye-sensitized solar cell database. Recent advances and applications of machine learning in solid-state materials science Solar Cell Materials by Design: Hybrid Pyroxene Corner-Sharing VO4 Tetrahedral Chains. Representation of molecular structures with persistent homology for machine learning applications in chemistry An ab initio electronic transport database for inorganic materials Evaluation-oriented exploration of photo energy conversion systems: from fundamental optoelectronics and material screening to the combination with data science Simulation vs Understanding A Tension, in Quantum Chemistry and Beyond. PART B The March of Simulation, for Better or Worse Atomic structures and orbital energies of 61,489 crystal-forming organic molecules Virtual Materials Intelligence for Design and Discovery of Advanced Electrocatalysts Combining Machine Learning and Computational Chemistry for Predictive Insights Into Chemical Systems
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