Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Progress and Applications of Deep Learning in Vibrational Spectroscopy

Progress and Applications of Deep Learning in Vibrational Spectroscopy

Mei, Congli
Jiang, Hui

Paperback

General Mathematics

ISBN10: 6208459753
ISBN13: 9786208459758
Publisher: LAP Lambert Academic Publishing
Published: Sep 15 2025
Pages: 248
Weight: 0.74
Height: 0.56 Width: 6.00 Depth: 9.00
Language: English
Vibrational spectroscopy is a cornerstone in molecular analysis, offering detailed insights into chemical compositions and dynamics. Recent years have witnessed a paradigm shift with the integration of deep learning, which excels in automatically extracting intricate patterns from raw spectral data, bypassing traditional preprocessing steps. This synergy has significantly enhanced the precision and speed of applications ranging from material science to biomedical diagnostics. This book comprehensively explores the transformative impact of deep learning on vibrational spectroscopy modeling, emphasizing its superiority over traditional machine learning approaches. This book also provides an overview of the latest research and applications in vibrational spectroscopy over the past three years and offers insights into future directions for spectroscopic modeling in the face of big data challenges.

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