LEADER 02127nam 2200481z- 450 001 9910688215903321 005 20211118 035 $a(CKB)5400000000042654 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/74040 035 $a(oapen)doab74040 035 $a(EXLCZ)995400000000042654 100 $a20202111d2020 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aNeuroimaging Approaches to the Study of Cognitive Aging 210 $cFrontiers Media SA$d2020 215 $a1 online resource (192 p.) 311 08$a2-88963-901-0 330 $aThis eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact 606 $aNeurosciences$2bicssc 606 $aScience: general issues$2bicssc 610 $aage-related brain changes 610 $acognitive aging 610 $aneuroimaging modalities 615 7$aNeurosciences 615 7$aScience: general issues 700 $aCohen$b Ronald$4edt$0484073 702 $aWright$b Clinton B$4edt 702 $aWoods$b Adam J$4edt 702 $aAlexander$b Gene E$4edt 702 $aVisscher$b Kristina$4edt 702 $aCohen$b Ronald$4oth 702 $aWright$b Clinton B$4oth 702 $aWoods$b Adam J$4oth 702 $aAlexander$b Gene E$4oth 702 $aVisscher$b Kristina$4oth 906 $aBOOK 912 $a9910688215903321 996 $aNeuroimaging Approaches to the Study of Cognitive Aging$93138066 997 $aUNINA LEADER 03615nam 22007455 450 001 9910951798703321 005 20251204110041.0 010 $a9783031762901$b(electronic bk.) 010 $z9783031762895 024 7 $a10.1007/978-3-031-76290-1 035 $a(MiAaPQ)EBC31887303 035 $a(Au-PeEL)EBL31887303 035 $a(CKB)37345588100041 035 $a(DE-He213)978-3-031-76290-1 035 $a(OCoLC)1492209760 035 $a(EXLCZ)9937345588100041 100 $a20250123d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNavigating Molecular Networks /$fby N. Sukumar 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (151 pages) 225 1 $aSpringerBriefs in Materials,$x2192-1105 311 08$aPrint version: Sukumar, N. Navigating Molecular Networks Cham : Springer,c2025 9783031762895 327 $aMolecular 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. 330 $aThis book delves into the foundational principles governing the treatment of molecular networks and "chemical space"?the comprehensive domain encompassing all physically achievable molecules?from the perspectives of vector space, graph theory, and data science. It explores similarity kernels, network measures, spectral graph theory, and random matrix theory, weaving intriguing connections between these diverse subjects. Notably, it emphasizes the visualization of molecular networks. The exploration continues by delving into contemporary generative deep learning models, increasingly pivotal in the pursuit of new materials possessing specific properties, showcasing some of the most compelling advancements in this field. Concluding with a discussion on the meanings of discovery, creativity, and the role of artificial intelligence (AI) therein. Its primary audience comprises senior undergraduate and graduate students specializing in physics, chemistry, and materials science. Additionally, it caters to those interested in the potential transformation of material discovery through computational, network, AI, and machine learning (ML) methodologies. 410 0$aSpringerBriefs in Materials,$x2192-1105 606 $aStatistical physics 606 $aBiophysics 606 $aBiomolecules 606 $aGraph theory 606 $aStochastic processes 606 $aMachine learning 606 $aSoft condensed matter 606 $aStatistical Physics 606 $aMolecular Biophysics 606 $aGraph Theory 606 $aStochastic Networks 606 $aMachine Learning 606 $aSoft Materials 615 0$aStatistical physics. 615 0$aBiophysics. 615 0$aBiomolecules. 615 0$aGraph theory. 615 0$aStochastic processes. 615 0$aMachine learning. 615 0$aSoft condensed matter. 615 14$aStatistical Physics. 615 24$aMolecular Biophysics. 615 24$aGraph Theory. 615 24$aStochastic Networks. 615 24$aMachine Learning. 615 24$aSoft Materials. 676 $a530.13 700 $aSukumar$b N$01806540 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910951798703321 996 $aNavigating Molecular Networks$94355772 997 $aUNINA