Synthesis, optical imaging, and absorption spectroscopy information for 179072 metallic oxides


Zakutayev, A. et al. Excessive Throughput Experimental Supplies Database. (2017)


Hattrick-Simpers, J. R., Gregoire, J. M. & Kusne, A. G. Perspective: Composition–construction–property mapping in high-throughput experiments: turning information into data. APL Mater four, 53211–53212 (2016).


Ramprasad, R., Batra, R., Pilania, G., Mannodi-Kanakkithodi, A. & Kim, C. Machine studying in supplies informatics: current functions and prospects. Npj Comput. Mater three, 54 (2017).


Gómez-Bombarelli, R. et al. Computerized chemical design utilizing a data-driven steady illustration of molecules. ACS Cent. Sci. four, 268–276 (2018).


Campbell, S. J. et al. Visualizing the drug goal panorama. Drug Discov. Right this moment 15, three–15 (2010).


Jordan, A. M. & Roughley, S. D. Drug discovery chemistry: a primer for the non-specialist. Drug Discov. Right this moment 14, 731–744 (2009).


Yosipof, A. et al. Information mining and machine studying instruments for combinatorial materials science of all-oxide photovoltaic cells. Mol. Inform. 34, 367–379 (2015).


Jain, A. et al. Commentary: The supplies challenge: a supplies genome method to accelerating supplies innovation (2013).


Stein, H. S., Guevarra, D., Newhouse, P. F., Soedarmadji, E. & Gregoire, J. Machine studying of optical properties of supplies – predicting spectra from photos and pictures from spectra. Chem. Sci 10, 47–55 (2019).


Stein, H. S., Soedarmadji, E., Newhouse, P. F., Guevarra, D. & Gregoire, J. M. Synthesis, optical imaging, and absorption spectroscopy information for 179072 metallic oxides. figshare (2019).


Sołtys, M., Jaroszewicz, S. & Rzepakowski, P. Ensemble strategies for uplift modeling. Information Min. Knowl. Discov. 29, 1–29 (2015).


Ward, L. & Wolverton, C. Atomistic calculations and supplies informatics: A assessment. Curr. Opin. Stable State Amp Mater. Sci 21, 167–176 (2017).


Kirklin, S. et al. The Open Quantum Supplies Database (OQMD): assessing the accuracy of DFT formation energies. Npj Comput. Mater. 1, 15010 (2015).


Suram, S. Okay., Newhouse, P. F. & Gregoire, J. M. Excessive throughput mild absorber discovery, half 1: an algorithm for automated tauc evaluation. ACS Comb. Sci 18, 673–681 (2016).


Schwarting, M., Siol, S., Talley, Okay., Zakutayev, A. & Phillips, C. Automated algorithms for band hole evaluation from optical absorption spectra. Mater. Discov 10, 43–52 (2017).


People, M., Heber, G., Koziol, Q., Pourmal, E. & Robinson, D. An outline of the HDF5 expertise suite and its functions. Proceedings of the EDBT/ICDT 2011 Workshop on Array Databases – AD ’11 36–47 ACM Press, (2011).


Liu, X. et al. Inkjet Printing Assisted Synthesis of Multicomponent Mesoporous Steel Oxides for Ultrafast Catalyst Exploration. Nano Lett. 12(11), 5733–5739 (2012).


Mitrovic, S. et al. Colorimetric screening for high-throughput discovery of sunshine absorbers. ACS Comb. Sci. 17, 176–181 (2015).


Mitrovic, S. et al. Excessive-throughput on-the-fly scanning ultraviolet-visible dual-sphere spectrometer. Rev. Sci. Instrum. 86, 13904 (2015).


Newhouse, P. F. et al. Discovery and characterization of a pourbaix-stable, 1.eight eV direct hole bismuth manganate photoanode. Chem. Mater. 29, 10027–10036 (2017).


Newhouse, P. F. et al. Photo voltaic gasoline photoanodes ready by inkjet printing of copper vanadates. J. Mater. Chem. A four, 7483–7494 (2016).


Newhouse, P. F. et al. Combinatorial alloying improves bismuth vanadate photoanodes by way of decreased monoclinic distortion. Power Environ. Sci. 11, 2444–2457 (2018).

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