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Small data machine learning in materials science
Published 2023-03-01“…Finally, the future directions for small data machine learning in materials science were proposed.…”
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Study of Commodity VR for Computational Material Sciences
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Interdependence of fundamental and applied research in material science
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The Intersection Between Semantic Web and Materials Science
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NANOTECHNOLOGY IN CONSTRUCTION MATERIAL SCIENCE: REALITY AND PROSPECTS
Published 2009-05-01Get full text
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Combinatorial solid state materials science and technology
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268
Conservation of Plastics (materials science, degradation and preservation)
Published 2011-12-01“… Reseña del libro: Conservation of Plastics (materials science, degradation and preservation) Yvonne Shashoua Butterworth – Heinemann Oxford, 2008 285 páginas más 14 páginas introductorias, ilustraciones, tablas, esquemas, 195 x 250 cm ISBN: 978-0-7506-6495-0 …”
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269
Editorial: Deep learning in computational materials science
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270
Applications of generative adversarial networks in materials science
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271
Modern metallography – the basis of foundry material science
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272
Application and prospects of large models in materials science
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273
MODERN EDUCATIONAL APPROACHES TO STUDYING OF MATERIALS SCIENCE
Published 2016-12-01Subjects: “…materials science…”
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274
Shared metadata for data-centric materials science
Published 2023-09-01“…The expansive production of data in materials science, their widespread sharing and repurposing requires educated support and stewardship. …”
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275
Responsive Materials: Leading the development of materials science
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276
In Situ SEM at Elevated Temperature for Materials Science
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277
Proceedings of ASEAN - Pakistan Conference on Materials Science
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278
INNOVATION TECHNOLOGIES IN ROAD CONSTRUCTION MATERIAL SCIENCE
Published 2015-05-01“…Activation technologies of road construction materials considered in a single package represent an up-to-date progressively developing scientific and research direction in the transport material science. The essence of the activation technology for materials lies in an intensive increase of physical and chemical activity of their components in the interphase boundaries that is realized in various technological conversions. …”
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Materials Science at Swiss Universities of Applied Sciences
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Improving supervised machine learning for materials science
Published 2023“…Despite the widespread applications of machine learning models in materials science, in many cases the performance of machine learning models is not sufficiently accurate enough to meet the needs of materials design. …”
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