Literature DB >> 28265095

Solar fuels photoanode materials discovery by integrating high-throughput theory and experiment.

Qimin Yan1,2, Jie Yu3,4,5, Santosh K Suram3, Lan Zhou3, Aniketa Shinde3, Paul F Newhouse3, Wei Chen4, Guo Li6,2,5, Kristin A Persson4,7, John M Gregoire8, Jeffrey B Neaton1,2,5,9.   

Abstract

The limited number of known low-band-gap photoelectrocatalytic materials poses a significant challenge for the generation of chemical fuels from sunlight. Using high-throughput ab initio theory with experiments in an integrated workflow, we find eight ternary vanadate oxide photoanodes in the target band-gap range (1.2-2.8 eV). Detailed analysis of these vanadate compounds reveals the key role of VO4 structural motifs and electronic band-edge character in efficient photoanodes, initiating a genome for such materials and paving the way for a broadly applicable high-throughput-discovery and materials-by-design feedback loop. Considerably expanding the number of known photoelectrocatalysts for water oxidation, our study establishes ternary metal vanadates as a prolific class of photoanode materials for generation of chemical fuels from sunlight and demonstrates our high-throughput theory-experiment pipeline as a prolific approach to materials discovery.

Entities:  

Keywords:  complex oxides; density-functional theory; high-throughput experiments; photocatalysis; solar fuels materials

Year:  2017        PMID: 28265095      PMCID: PMC5373381          DOI: 10.1073/pnas.1619940114

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  10 in total

1.  Photoelectrochemical decomposition of water on nanocrystalline BiVO4 film electrodes under visible light.

Authors:  Kazuhiro Sayama; Atsushi Nomura; Zhigang Zou; Ryu Abe; Yoshimoto Abe; Hironori Arakawa
Journal:  Chem Commun (Camb)       Date:  2003-12-07       Impact factor: 6.222

2.  Energy band gaps and lattice parameters evaluated with the Heyd-Scuseria-Ernzerhof screened hybrid functional.

Authors:  Jochen Heyd; Juan E Peralta; Gustavo E Scuseria; Richard L Martin
Journal:  J Chem Phys       Date:  2005-11-01       Impact factor: 3.488

3.  Hybrid functional investigations of band gaps and band alignments for AlN, GaN, InN, and InGaN.

Authors:  Poul Georg Moses; Maosheng Miao; Qimin Yan; Chris G Van de Walle
Journal:  J Chem Phys       Date:  2011-02-28       Impact factor: 3.488

4.  Prediction and accelerated laboratory discovery of previously unknown 18-electron ABX compounds.

Authors:  Romain Gautier; Xiuwen Zhang; Linhua Hu; Liping Yu; Yuyuan Lin; Tor O L Sunde; Danbee Chon; Kenneth R Poeppelmeier; Alex Zunger
Journal:  Nat Chem       Date:  2015-04       Impact factor: 24.427

5.  The high-throughput highway to computational materials design.

Authors:  Stefano Curtarolo; Gus L W Hart; Marco Buongiorno Nardelli; Natalio Mingo; Stefano Sanvito; Ohad Levy
Journal:  Nat Mater       Date:  2013-03       Impact factor: 43.841

6.  Assessing capability of semiconductors to split water using ionization potentials and electron affinities only.

Authors:  Vladan Stevanović; Stephan Lany; David S Ginley; Willam Tumas; Alex Zunger
Journal:  Phys Chem Chem Phys       Date:  2014-02-28       Impact factor: 3.676

7.  Stability and self-passivation of copper vanadate photoanodes under chemical, electrochemical, and photoelectrochemical operation.

Authors:  Lan Zhou; Qimin Yan; Jie Yu; Ryan J R Jones; Natalie Becerra-Stasiewicz; Santosh K Suram; Aniketa Shinde; Dan Guevarra; Jeffrey B Neaton; Kristin A Persson; John M Gregoire
Journal:  Phys Chem Chem Phys       Date:  2016-03-21       Impact factor: 3.676

8.  Spectral descriptors for bulk metallic glasses based on the thermodynamics of competing crystalline phases.

Authors:  Eric Perim; Dongwoo Lee; Yanhui Liu; Cormac Toher; Pan Gong; Yanglin Li; W Neal Simmons; Ohad Levy; Joost J Vlassak; Jan Schroers; Stefano Curtarolo
Journal:  Nat Commun       Date:  2016-08-02       Impact factor: 14.919

9.  Efficiency limits for photoelectrochemical water-splitting.

Authors:  Katherine T Fountaine; Hans Joachim Lewerenz; Harry A Atwater
Journal:  Nat Commun       Date:  2016-12-02       Impact factor: 14.919

10.  Identification and design principles of low hole effective mass p-type transparent conducting oxides.

Authors:  Geoffroy Hautier; Anna Miglio; Gerbrand Ceder; Gian-Marco Rignanese; Xavier Gonze
Journal:  Nat Commun       Date:  2013       Impact factor: 14.919

  10 in total
  9 in total

1.  Materials Science in the AI age: high-throughput library generation, machine learning and a pathway from correlations to the underpinning physics.

Authors:  Rama K Vasudevan; Kamal Choudhary; Apurva Mehta; Ryan Smith; Gilad Kusne; Francesca Tavazza; Lukas Vlcek; Maxim Ziatdinov; Sergei V Kalinin; Jason Hattrick-Simpers
Journal:  MRS Commun       Date:  2019       Impact factor: 2.566

2.  Calibrating DFT Formation Enthalpy Calculations by Multifidelity Machine Learning.

Authors:  Sheng Gong; Shuo Wang; Tian Xie; Woo Hyun Chae; Runze Liu; Yang Shao-Horn; Jeffrey C Grossman
Journal:  JACS Au       Date:  2022-09-09

3.  Density of states prediction for materials discovery via contrastive learning from probabilistic embeddings.

Authors:  Shufeng Kong; Francesco Ricci; Dan Guevarra; Jeffrey B Neaton; Carla P Gomes; John M Gregoire
Journal:  Nat Commun       Date:  2022-02-17       Impact factor: 17.694

4.  Chemical transformations at the nanoscale: nanocrystal-seeded synthesis of β-Cu2V2O7 with enhanced photoconversion efficiencies.

Authors:  Chethana Gadiyar; Michal Strach; Pascal Schouwink; Anna Loiudice; Raffaella Buonsanti
Journal:  Chem Sci       Date:  2018-05-29       Impact factor: 9.825

5.  Structure motif-centric learning framework for inorganic crystalline systems.

Authors:  Huta R Banjade; Sandro Hauri; Shanshan Zhang; Francesco Ricci; Weiyi Gong; Geoffroy Hautier; Slobodan Vucetic; Qimin Yan
Journal:  Sci Adv       Date:  2021-04-21       Impact factor: 14.136

6.  Machine learned features from density of states for accurate adsorption energy prediction.

Authors:  Victor Fung; Guoxiang Hu; P Ganesh; Bobby G Sumpter
Journal:  Nat Commun       Date:  2021-01-04       Impact factor: 14.919

7.  High-Throughput Computational Screening for Bipolar Magnetic Semiconductors.

Authors:  Haidi Wang; Qingqing Feng; Xingxing Li; Jinlong Yang
Journal:  Research (Wash D C)       Date:  2022-03-15

8.  Robust and synthesizable photocatalysts for CO2 reduction: a data-driven materials discovery.

Authors:  Arunima K Singh; Joseph H Montoya; John M Gregoire; Kristin A Persson
Journal:  Nat Commun       Date:  2019-01-25       Impact factor: 14.919

Review 9.  Progress and prospects for accelerating materials science with automated and autonomous workflows.

Authors:  Helge S Stein; John M Gregoire
Journal:  Chem Sci       Date:  2019-09-20       Impact factor: 9.825

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.