Machine Learning for Advanced Functional Materials /

This book presents recent advancements of machine learning methods and their applications in material science and nanotechnologies. It provides an introduction to the field and for those who wish to explore machine learning in modeling as well as conduct data analyses of material characteristics. Th...

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Bibliographic Details

Corporate Author:	SpringerLink (Online service)
Other Authors:	Joshi, Nirav (Editor), Kushvaha, Vinod (Editor), Madhushri, Priyanka (Editor)
Format:	eBook
Language:	English
Published:	Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Edition:	1st ed. 2023.
Subjects:	Optics. Machine learning. Materials. Detectors. Tumor markers. Photonics. Optical engineering. Optics and Photonics. Machine Learning. Sensors and biosensors. Tumour Biomarkers. Photonics and Optical Engineering. Photonic Devices. Electronic books.
Online Access:	Connect to the full text of this electronic book