Data-Centric Science for Materials Innovation
Data-centric science for materials innovation. With the development and availability of high-speed computers, networks, and huge data storage, researchers can utilize a large volume and wide variety of materials data generated by experimental facilities and computations. The emergence of these big data as well as advanced analytical techniques has opened unprecedented opportunities for materials research. The cover shows miscibility maps for various combinations of elements in binary alloys. The maps are constructed using data derived from experimental thermodynamic databases, electronic-structure databases, along with data predicted by harnessing machine-learning methods on existing repositories of electronic-structure data. Red and green symbols indicate immiscible and miscible systems, respectively. The white symbols represent systems without available experimental data, while the blue symbols indicate the boundary of alloys consisting of dissimilar elements. The background shows 5000 predicted thermal conductivity results. See the technical theme that begins on p. 659.
Data-Centric Science for Materials Innovation
Data-centric science for materials innovation
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- Published online by Cambridge University Press:
- 10 September 2018, pp. 659-663
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Harnessing the Materials Project for machine-learning and accelerated discovery
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- 10 September 2018, pp. 664-669
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Data-driven design of inorganic materials with the Automatic Flow Framework for Materials Discovery
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- 10 September 2018, pp. 670-675
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NOMAD: The FAIR concept for big data-driven materials science
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- 10 September 2018, pp. 676-682
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Strategies for accelerating the adoption of materials informatics
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- 10 September 2018, pp. 683-689
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Progress in nanoinformatics and informational materials science
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- 10 September 2018, pp. 690-695
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Provenance, workflows, and crystallographic tools in materials science: AiiDA, spglib, and seekpath
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- 10 September 2018, pp. 696-702
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Energy Quarterly
Editorial
Energy provisioning in the developing world
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- 10 September 2018, p. 653
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Energy Sector Analysis
Understanding corrosion of flexible pipes at subsea oil and gas wells
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- 10 September 2018, pp. 654-655
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Regional Initiative
Renewable energy in Kazakhstan rises in the shadow of fossil fuels
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- 10 September 2018, pp. 656-658
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Departments
News & Analysis
Materials News
Research Highlights: Perovskites
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- 10 September 2018, pp. 645-646
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Energy Focus: Semitransparent organic PV generates power while reducing heat
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- 10 September 2018, pp. 646-647
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Nano Focus: Gold nanoheaters enable optically controlled soft robots
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- 10 September 2018, pp. 647-648
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Nano Focus: Remote-controlled wearable tribo-sensor is compatible with water
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- 10 September 2018, p. 648
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Multi-material 3D printing produces expandable microlattices
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- 10 September 2018, p. 649
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Science Policy
US National Academies report recommends changes to graduate STEM education
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- 10 September 2018, pp. 650-652
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Society News
Informing the next R&D generation: The Erice School on Materials for Renewable Energy and Sustainability
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- 10 September 2018, p. 710
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Rigoberto Advincula elected to National Academy of Science and Technology
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- 10 September 2018, p. 711
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Materials for sustainable energy—JUAMI Kampala, Uganda; December 10–21
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- 10 September 2018, p. 711
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Diversity in MS&E
Professional societies and African American engineering leaders: Paving pathways and empowering legacies
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- 10 September 2018, pp. 703-709
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