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[null,"1.","Record Nr.",null,"UNINA9910495785303321"]
[null,null,"Autore",null,"Bellon avec la collaboration de Cécile"]
[null,null,"Titolo",null,"Où sont les bibliothèques françaises spoliées par les nazis ? / / Martine Poulain"]
[null,null,"Pubbl/distr/stampa",null,"Villeurbanne, : Presses de l’enssib, 2019"]
[null,null,"ISBN",null,"2-37546-108-8"]
[null,null,"Descrizione fisica",null,"1 online resource (234 p.)"]
[null,null,"Collana",null,"Papiers"]
[null,null,"Soggetti",null,"History"]
[{"$nulls":4},"Bibliothèque nationale de France"]
[{"$nulls":4},"confiscation"]
[{"$nulls":4},"restitution"]
[{"$nulls":4},"collection d'ouvrages"]
[{"$nulls":4},"nazisme"]
[{"$nulls":4},"spoliations"]
[null,null,"Lingua di pubblicazione",null,"Francese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","L’ampleur des pillages effectués par les forces nazies durant la Seconde Guerre mondiale dans tous les pays occupés a été révélée à la Libération. Des opérations d’identification et de restitution des livres spoliés ont été mises en œuvre, notamment en Europe occidentale.  En mars 2017, un colloque international, co-organisé par le Centre Gabriel Naudé de l’Enssib, posait cette question : où sont les livres spoliés par les nazis ? Une partie des contributions sont rassemblées dans cet ouvrage, plus particulièrement, celles cherchant à localiser quelque 14 000 livres spoliés déposés dans une quarantaine de bibliothèques françaises entre 1950 et 1953 et à en connaître les caractéristiques."]
[null,"2.","Record Nr.",null,"UNINA9910951798703321"]
[null,null,"Autore",null,"Sukumar N"]
[null,null,"Titolo",null,"Navigating Molecular Networks / / by N. Sukumar"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024"]
[null,null,"ISBN",null,"9783031762901"]
[{"$nulls":4},"9783031762895"]
[null,null,"Edizione",null,"[1st ed. 2024.]"]
[null,null,"Descrizione fisica",null,"1 online resource (151 pages)"]
[null,null,"Collana",null,"SpringerBriefs in Materials, , 2192-1105"]
[null,null,"Disciplina",null,"530.13"]
[null,null,"Soggetti",null,"Statistical physics"]
[{"$nulls":4},"Biophysics"]
[{"$nulls":4},"Biomolecules"]
[{"$nulls":4},"Graph theory"]
[{"$nulls":4},"Stochastic processes"]
[{"$nulls":4},"Machine learning"]
[{"$nulls":4},"Soft condensed matter"]
[{"$nulls":4},"Statistical Physics"]
[{"$nulls":4},"Molecular Biophysics"]
[{"$nulls":4},"Graph Theory"]
[{"$nulls":4},"Stochastic Networks"]
[{"$nulls":4},"Machine Learning"]
[{"$nulls":4},"Soft Materials"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Molecular Networks -- Transformations of Chemical Space -- Spectral Graph Theory -- Universality and Random Matrix Theory -- Mapping and Navigating Chemical Space Networks -- Generative AI – Growing the Network -- Discovery and Creativity."]
[null,null,null,"Sommario/riassunto","This book delves into the foundational principles governing the treatment of molecular networks and \"chemical space\"—the comprehensive domain encompassing all physically achievable molecules—from the perspectives of vector space, graph theory, and data science. It explores similarity kernels, network measures, spectral graph theory, and random matrix theory, weaving intriguing connections between these diverse subjects. Notably, it emphasizes the visualization of molecular networks. The exploration continues by "]
[{"$nulls":4},"delving into contemporary generative deep learning models, increasingly pivotal in the pursuit of new materials possessing specific properties, showcasing some of the most compelling advancements in this field. Concluding with a discussion on the meanings of discovery, creativity, and the role of artificial intelligence (AI) therein. 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."]