كتاب
Data Mining Chemistry and Crystal Structure.
العنوان: | Data Mining Chemistry and Crystal Structure. |
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المؤلفون: | Yang, Lusann Wren. |
سنة النشر: | 2014 |
مصطلحات موضوعية: | Materials Science, Computer science |
الوصف: | The availability of large amounts of data generated by high-throughput computing and experimentation has generated interest in the application of machine learning techniques to materials science. Machine learning of materials behavior requires the use of feature vectors that capture compositional or structural information influence a target property. We present methods for assessing the similarity of compositions, substructures, and crystal structures. Similarity measures are important for the classification and clustering of data points, allowing for the organization of data and the prediction of materials properties. |
Original Identifier: | ocn882196618 (DASH)12271792 |
نوع الوثيقة: | Book |
اللغة: | English |
حقوق: | This record is part of the Harvard Library Bibliographic Dataset, which is provided by the Harvard Library under its Bibliographic Dataset Use Terms and includes data made available by, among others, OCLC Online Computer Library Center, Inc. and the Library of Congress. |
Degree: | Ph.D., Harvard University, 2014. |
ملاحظات: | Keywords: Chemistry, Crystal Structure, Data Mining, Materials Properties. |
رقم الأكسشن: | edshlc.014101128.9 |
قاعدة البيانات: | Harvard Library Bibliographic Dataset |
الوصف غير متاح. |