LEADER 01687nam0 2200385 i 450 001 VAN0124134 005 20230703114333.667 017 70$2N$a9789811067815 100 $a20191008d2017 |0itac50 ba 101 $aeng 102 $aSG 105 $a|||| ||||| 200 1 $aBayesian Optimization for Materials Science$fDaniel Packwood 210 $aSingapore$cSpringer$d2017 215 $aviii, 42 p.$cill.$d24 cm 410 1$1001VAN0113994$12001 $aSpringerBriefs in the mathematics of materials$1210 $aBerlin [etc.]$cSpringer$v3 500 1$3VAN0235437$aBayesian Optimization for Materials Science$91562536 606 $a82-XX$xStatistical mechanics, structure of matter [MSC 2020]$3VANC021931$2MF 606 $a62F15$xBayesian inference [MSC 2020]$3VANC024528$2MF 610 $aBayesian Optimization$9KW:K 610 $aCatalyst$9KW:K 610 $aDensity-functional theory$9KW:K 610 $aIntermolecular interaction$9KW:K 610 $aSurface$9KW:K 620 $aSG$dSingapore$3VANL000061 700 1$aPackwood$bDaniel$3VANV095601$0767494 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240614$gRICA 856 4 $uhttp://doi.org/10.1007/978-981-10-6781-5$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$1IT-CE0120$2VAN08 912 $fN 912 $aVAN0124134 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS e-book 0578 $e08eMF578 20191008 996 $aBayesian Optimization for Materials Science$91562536 997 $aUNICAMPANIA