國立虎尾科技大學 |

Machine learning for polymer informatics

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Machine learning for polymer informatics / Ying Li and Tianle Yue.
作者:	Li, Ying,
其他作者:	Yue, Tianle,
面頁冊數:	1 online resource :illustrations (some color). :
標題:	Machine learning - Industrial applications. -
電子資源:	https://dx.doi.org/10.1021/acsinfocus.7e8007
ISBN:	9780841296350

Machine learning for polymer informatics
Li, Ying,

Machine learning for polymer informatics [electronic resource] /Ying Li and Tianle Yue. - 1 online resource :illustrations (some color). - ACS in focus,2691-8307. - ACS in focus,.

Includes bibliographical references and index.

Polymers and Polymer Informatics --

"Machine learning has significantly accelerated the development of new polymer materials. Machine Learning for Polymer Informatics introduces the reader to the most popular ways of applying machine learning in polymer informatics. This primer will equip the reader to ask the right questions about the application of machine learning in their areas of interest, as well as critically interpret publications leveraging machine learning methods. The authors encourage readers to try machine learning techniques when they have sufficient data in their area of interest. The development of machine learning has far exceeded human imagination, and with sufficient data, everything is full of possibilities."--

ISBN: 9780841296350

Standard No.: 10.1021/acsinfocus.7e8007doiSubjects--Topical Terms:

805305
Machine learning
--Industrial applications.Index Terms--Genre/Form:

554714
Electronic books.

LC Class. No.: QD139.P6 / L56 2024eb

Dewey Class. No.: 547.7046

Machine learning for polymer informatics
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100 1 $a Li, Ying, $e author. $u University of Wisconsin-Madison. $3 1483806
245 1 0 $a Machine learning for polymer informatics $c Ying Li and Tianle Yue. $h [electronic resource] /
264 1 $a Washington, DC, USA : $b American Chemical Society, $c 2024.
300 $a 1 online resource : $b illustrations (some color).
336 $a text $2 rdacontent
337 $a computer $2 rdamedia
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490 1 $a ACS in focus, $x 2691-8307
504 $a Includes bibliographical references and index.
505 0 0 $t Polymers and Polymer Informatics -- $t Advancing Research through Machine Learning (ML) -- $t Making Computers "Understand" Polymers -- $t Using Supervised Learning and Associated Datasets to Predict Polymer Properties -- $t Properties Prediction for Polymers with Different ML Models -- $t Applications of Unsupervised Learning and Explainable ML in Polymer Informatics -- $t Generate Hypothetical Polymer Structures Using ML Techniques.
520 # $a "Machine learning has significantly accelerated the development of new polymer materials. Machine Learning for Polymer Informatics introduces the reader to the most popular ways of applying machine learning in polymer informatics. This primer will equip the reader to ask the right questions about the application of machine learning in their areas of interest, as well as critically interpret publications leveraging machine learning methods. The authors encourage readers to try machine learning techniques when they have sufficient data in their area of interest. The development of machine learning has far exceeded human imagination, and with sufficient data, everything is full of possibilities."-- $c Provided by publisher.
590 $a American Chemical Society, ACS In Focus eBooks - 2024 Front Files.
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650 # 0 $a Artificial intelligence $x Industrial applications. $3 796380
650 # 0 $a Polymers $x Analysis $x Automation. $3 1483808
650 # 0 $a Materials $x Data processing. $3 910115
650 # 0 $a Materials science $x Mathematical models. $3 1004493
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655 # 0 $a Electronic books. $2 local $3 554714
700 1 # $a Yue, Tianle, $e author. $u University of Wisconsin-Madison. $3 1483807
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