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Artificial intelligence is aiding the search for energy materials
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- Journal:
- MRS Bulletin / Volume 44 / Issue 3 / March 2019
- Published online by Cambridge University Press:
- 11 March 2019, pp. 162-163
- Print publication:
- March 2019
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Predictive modeling and design rules for solid electrolytes
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- Journal:
- MRS Bulletin / Volume 43 / Issue 10 / October 2018
- Published online by Cambridge University Press:
- 10 October 2018, pp. 746-751
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- October 2018
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Harnessing the Materials Project for machine-learning and accelerated discovery
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- Journal:
- MRS Bulletin / Volume 43 / Issue 9 / September 2018
- Published online by Cambridge University Press:
- 10 September 2018, pp. 664-669
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- September 2018
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Creation of an XAS and EELS Spectroscopy Resource within the Materials Project using FEFF9
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- Journal:
- / Volume 23 / Issue S1 / July 2017
- Published online by Cambridge University Press:
- 04 August 2017, pp. 208-209
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- July 2017
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New opportunities for materials informatics: Resources and data mining techniques for uncovering hidden relationships
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- Journal:
- Journal of Materials Research / Volume 31 / Issue 8 / 28 April 2016
- Published online by Cambridge University Press:
- 01 April 2016, pp. 977-994
- Print publication:
- 28 April 2016
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