LEADER 00000cam a2200721 i 4500 
003    OCoLC 
005    20240129213017.0 
006    m     o  d         
007    cr cnu---unuuu 
008    221012t20232023njua    ob    001 0 eng   
010      2022042566 
015    GBC399457|2bnb 
016 7  021049718|2Uk 
019    1381119915 
020    9781119819783|qelectronic book 
020    1119819784|qelectronic book 
020    9781119819769|qelectronic book 
020    1119819768|qelectronic book 
020    9781119819776|qelectronic book 
020    1119819776|qelectronic book 
020    |qhardcover 
024 7  10.1002/9781119819783|2doi 
029 1  AU@|b000073024270 
029 1  UKMGB|b021049718 
035    (OCoLC)1351773258|z(OCoLC)1381119915 
037    9781119819752|bO'Reilly Media 
040    DLC|beng|erda|cDLC|dOCLCF|dUKAHL|dDG1|dN$T|dDG1|dYDX
       |dORMDA|dUKMGB|dOCLCO 
042    pcc 
049    INap 
082 00 549/.68 
082 00 549/.68|223/eng20221121 
099    |h[O'Reilly electronic resource] 
245 00 AI-guided design and property prediction for zeolites and 
       nanoporous materials /|cedited by German Sastre, Frits 
       Daeyaert.|h[O'Reilly electronic resource] 
264  1 Hoboken, NJ :|bJohn Wiley and Sons, Inc.,|c2023. 
264  4 |c©2023 
300    1 online resource (xxvi, 431 pages) :|billustrations 
       (chiefly color) 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
504    Includes bibliographical references and index. 
505 0  The confluence of organo-cations, inorganic species, and 
       molecular modeling on the discovery of new zeolite 
       structures and compositions / Christopher M. Lew, Dan Xie,
       Joel E. Schmidt, Saleh Elomari, Tracy M. Davis, and Stacey
       I. Zones -- Efficient data utilization in training machine
       learning models for nanoporous materials screening / Jiham
       Kim. 
520    AI-Guided Design and Property Prediction for Zeolites and 
       Nanoporous Materials A cohesive and insightful compilation
       of resources explaining the latest discoveries and methods
       in the field of nanoporous materials In Artificial 
       Intelligence for Zeolites and Nanoporous Materials: Design,
       Synthesis and Properties Prediction a team of 
       distinguished researchers delivers a robust compilation of
       the latest knowledge and most recent developments in 
       computational chemistry, synthetic chemistry, and 
       artificial intelligence as it applies to zeolites, porous 
       molecular materials, covalent organic frameworks and metal
       -organic frameworks. The book presents a common language 
       that unifies these fields of research and advances the 
       discovery of new nanoporous materials. The editors have 
       included resources that describe strategies to synthesize 
       new nanoporous materials, construct databases of materials,
       structure directing agents, and synthesis conditions, and 
       explain computational methods to generate new materials. 
       They also offer material that discusses AI and machine 
       learning algorithms, as well as other, similar approaches 
       to the field. Readers will also find a comprehensive 
       approach to artificial intelligence applied to and written
       in the language of materials chemistry, guiding the reader
       through the fundamental questions on how far computer 
       algorithms and numerical representations can drive our 
       search of new nanoporous materials for specific 
       applications. Designed for academic researchers and 
       industry professionals with an interest in synthetic 
       nanoporous materials chemistry, Artificial Intelligence 
       for Zeolites and Nanoporous Materials: Design, Synthesis 
       and Properties Prediction will also earn a place in the 
       libraries of professionals working in large energy, 
       chemical, and biochemical companies with responsibilities 
       related to the design of new nanoporous materials. 
588    Description based on online resource; title from digital 
       title page (viewed on April 27, 2023). 
590    O'Reilly|bO'Reilly Online Learning: Academic/Public 
       Library Edition 
650  0 Zeolites|xAnalysis. 
650  0 Nanostructured materials|xAnalysis. 
650  0 Molecules|xModels. 
650  0 Artificial intelligence. 
650  6 Zéolites|xAnalyse. 
650  6 Nanomatériaux|xAnalyse. 
650  6 Molécules|xModèles. 
650  6 Intelligence artificielle. 
650  7 artificial intelligence.|2aat 
650  7 Artificial intelligence|2fast 
650  7 Molecules|xModels|2fast 
650  7 Zeolites|xAnalysis|2fast 
700 1  Sastre, German,|eeditor. 
700 1  Daeyaert, Frederik F.,|eeditor. 
776 08 |iPrint version:|tAI-guided design and property prediction
       for zeolites and nanoporous materials|dHoboken : John 
       Wiley and Sons Ltd, 2023|z9781119819752|w(DLC)  2022042565
856 40 |uhttps://ezproxy.naperville-lib.org/login?url=https://
       learning.oreilly.com/library/view/~/9781119819752/?ar
       |zAvailable on O'Reilly for Public Libraries 
938    Askews and Holts Library Services|bASKH|nAH41203656 
938    EBSCOhost|bEBSC|n3536595 
994    92|bJFN