Navigating Molecular Networks
Exploring the Chemical Space Concept in Novel Materials Design
Springer
ISBN 978-3-031-76289-5
Standardpreis
Bibliografische Daten
Fachbuch
Buch. Softcover
2025
15 s/w-Abbildungen, 26 Farbabbildungen, Bibliographien.
In englischer Sprache
Umfang: xviii, 114 S.
Format (B x L): 15,5 x 23,5 cm
Verlag: Springer
ISBN: 978-3-031-76289-5
Weiterführende bibliografische Daten
Das Werk ist Teil der Reihe: SpringerBriefs in Materials
Produktbeschreibung
Its primary audience comprises senior undergraduate and graduate students specializing in physics, chemistry, and materials science. Additionally, it caters to those interested in the potential transformation of material discovery through computational, network, AI, and machine learning (ML) methodologies.
Autorinnen und Autoren
Kundeninformationen
Caters to a diverse audience encompassing students and researchers in physics, chemistry, and materials science Incorporates a multipronged approach spanning from vector space analysis to random matrix theory Explores graph and deep learning applications in molecular and materials design
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Hersteller
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