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wyszukanych pozycji: 6
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Materials Discovery and Design: By Means of Data Science and Optimal Learning
ISBN: 9783319994642 / Angielski / Twarda / 2018 / 256 str. Termin realizacji zamówienia: ok. 22 dni roboczych. Thus, the importance of this book lies in emphasizing that the full value of knowledge driven discovery using data can only be realized by integrating statistical and information sciences with materials science, which is increasingly dependent on high throughput and large scale computational and experimental data gathering efforts.
Thus, the importance of this book lies in emphasizing that the full value of knowledge driven discovery using data can only be realized by integrating...
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cena:
684,33 |
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Materials Discovery and Design: By Means of Data Science and Optimal Learning
ISBN: 9783030076023 / Angielski / Miękka / 2019 / 256 str. Termin realizacji zamówienia: ok. 22 dni roboczych. |
cena:
684,33 |
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Information Science for Materials Discovery and Design
ISBN: 9783319238708 / Angielski / Twarda / 2015 / 307 str. Termin realizacji zamówienia: ok. 22 dni roboczych. A perspective is presented that offers a paradigm (codesign loop for materials design) to involve iteratively learning from experiments and calculations to develop materials with optimum properties.
A perspective is presented that offers a paradigm (codesign loop for materials design) to involve iteratively learning from experiments and calculatio...
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cena:
925,87 |
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Frustrated Materials and Ferroic Glasses
ISBN: 9783319969138 / Angielski / Twarda / 2018 / 276 str. Termin realizacji zamówienia: ok. 22 dni roboczych. |
cena:
483,04 |
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Frustrated Materials and Ferroic Glasses
ISBN: 9783030072704 / Angielski / Miękka / 2019 / 276 str. Termin realizacji zamówienia: ok. 22 dni roboczych. |
cena:
342,14 |
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Information Science for Materials Discovery and Design
ISBN: 9783319795416 / Angielski / Miękka / 2019 / 307 str. Termin realizacji zamówienia: ok. 22 dni roboczych. This book deals with an information-driven approach to plan materials discovery and design, iterative learning. The authors present contrasting but complementary approaches, such as those based on high throughput calculations, combinatorial experiments or data driven discovery, together with machine-learning methods. Similarly, statistical methods successfully applied in other fields, such as biosciences, are presented. The content spans from materials science to information science to reflect the cross-disciplinary nature of the field. A perspective is presented that offers a paradigm...
This book deals with an information-driven approach to plan materials discovery and design, iterative learning. The authors present contrasting but co...
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cena:
925,87 |
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