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Machine Learning-Augmented Spectroscopies for Intelligent Materials Design

Machine Learning-Augmented Spectroscopies for Intelligent Materials Design PDF Author: Nina Andrejevic
Publisher: Springer Nature
ISBN: 3031148088
Category : Science
Languages : en
Pages : 106
Book Description
The thesis contains several pioneering results at the intersection of state-of-the-art materials characterization techniques and machine learning. The use of machine learning empowers the information extraction capability of neutron and photon spectroscopies. In particular, new knowledge and new physics insights to aid spectroscopic analysis may hold great promise for next-generation quantum technology. As a prominent example, the so-called proximity effect at topological material interfaces promises to enable spintronics without energy dissipation and quantum computing with fault tolerance, yet the characteristic spectral features to identify the proximity effect have long been elusive. The work presented within permits a fine resolution of its spectroscopic features and a determination of the proximity effect which could aid further experiments with improved interpretability. A few novel machine learning architectures are proposed in this thesis work which leverage the case when the data is scarce and utilize the internal symmetry of the system to improve the training quality. The work sheds light on future pathways to apply machine learning to augment experiments.

Machine Learning-Augmented Spectroscopies for Intelligent Materials Design

Machine Learning-Augmented Spectroscopies for Intelligent Materials Design PDF Author: Nina Andrejevic
Publisher: Springer Nature
ISBN: 3031148088
Category : Science
Languages : en
Pages : 106
Book Description
The thesis contains several pioneering results at the intersection of state-of-the-art materials characterization techniques and machine learning. The use of machine learning empowers the information extraction capability of neutron and photon spectroscopies. In particular, new knowledge and new physics insights to aid spectroscopic analysis may hold great promise for next-generation quantum technology. As a prominent example, the so-called proximity effect at topological material interfaces promises to enable spintronics without energy dissipation and quantum computing with fault tolerance, yet the characteristic spectral features to identify the proximity effect have long been elusive. The work presented within permits a fine resolution of its spectroscopic features and a determination of the proximity effect which could aid further experiments with improved interpretability. A few novel machine learning architectures are proposed in this thesis work which leverage the case when the data is scarce and utilize the internal symmetry of the system to improve the training quality. The work sheds light on future pathways to apply machine learning to augment experiments.

Computer Vision and Machine Learning in Agriculture, Volume 2

Computer Vision and Machine Learning in Agriculture, Volume 2 PDF Author: Mohammad Shorif Uddin
Publisher: Springer Nature
ISBN: 9811699917
Category : Agriculture
Languages : en
Pages : 269
Book Description
This book is as an extension of previous book "Computer Vision and Machine Learning in Agriculture" for academicians, researchers, and professionals interested in solving the problems of agricultural plants and products for boosting production by rendering the advanced machine learning including deep learning tools and techniques to computer vision algorithms. The book contains 15 chapters. The first three chapters are devoted to crops harvesting, weed, and multi-class crops detection with the help of robots and UAVs through machine learning and deep learning algorithms for smart agriculture. Next, two chapters describe agricultural data retrievals and data collections. Chapters 6, 7, 8 and 9 focuses on yield estimation, crop maturity detection, agri-food product quality assessment, and medicinal plant recognition, respectively. The remaining six chapters concentrates on optimized disease recognition through computer vision-based machine and deep learning strategies.

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International Conference on Multi disciplinary Technologies and challenges in Industry 4.0 PDF Author: Dr. Prakash s, dr. Silvia liberataullo, dr. Yogesh g s, dr. I manimozhi, prof. Shilpa patil.
Publisher: Archers & Elevators Publishing House
ISBN: 8194773830
Category : Antiques & Collectibles
Languages : en
Pages :
Book Description


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British Technology Index PDF Author:
Publisher:
ISBN:
Category : Engineering
Languages : en
Pages : 908
Book Description


Emerging Technologies and Systems for Biologically Plausible Implementations of Neural Functions

Emerging Technologies and Systems for Biologically Plausible Implementations of Neural Functions PDF Author: Erika Covi
Publisher: Frontiers Media SA
ISBN: 2889760006
Category : Science
Languages : en
Pages : 244
Book Description


Scientific and Technical Aerospace Reports

Scientific and Technical Aerospace Reports PDF Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 702
Book Description
Lists citations with abstracts for aerospace related reports obtained from world wide sources and announces documents that have recently been entered into the NASA Scientific and Technical Information Database.

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Government Reports Annual Index PDF Author:
Publisher:
ISBN:
Category : Research
Languages : en
Pages : 1720
Book Description
Sections 1-2. Keyword Index.--Section 3. Personal author index.--Section 4. Corporate author index.-- Section 5. Contract/grant number index, NTIS order/report number index 1-E.--Section 6. NTIS order/report number index F-Z.

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ISBN:
Category : Engineering
Languages : en
Pages : 68
Book Description


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Pure and Applied Science Books, 1876-1982 PDF Author:
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ISBN:
Category : Science
Languages : en
Pages : 7784
Book Description
Over 220,000 entries representing some 56,000 Library of Congress subject headings. Covers all disciplines of science and technology, e.g., engineering, agriculture, and domestic arts. Also contains at least 5000 titles published before 1876. Has many applications in libraries, information centers, and other organizations concerned with scientific and technological literature. Subject index contains main listing of entries. Each entry gives cataloging as prepared by the Library of Congress. Author/title indexes.

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Category : Government publications
Languages : en
Pages : 860
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