MARC

Tag First Indicator Second Indicator Subfields
LEADER 00000nam a2200000 i 4500
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005 20211209153557.0
006 m o d
007 cr cn ---unuuu
008 191209s2019 dcua ob 101 0 eng d
020 |a 9780841235045  |q electronic 
035 |a ccn00906494 
040 |a NjRocCCS  |b eng  |e rda  |c NjRocCCS 
050 4 |a Q325.5  |b .M33 2019 
060 4 |a Q 325.5  |b M149 2019 
082 0 4 |a 006.3/1  |2 23 
084 |a COM094000  |a SCI013070  |2 bisacsh 
245 0 0 |a Machine learning in chemistry :  |b data-driven algorithms, learning systems, and predictions /  |c Edward O. Pyzer-Knapp, editor, Teodoro Laino, editor ; sponsored by the ACS Division of Computers in Chemistry. 
264 1 |a Washington, DC :  |b American Chemical Society,  |c 2019. 
300 |a 1 online resource (139 pages) :  |b illustrations. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a ACS symposium series,  |x 1947-5918 ;  |v 1326 
500 |a Distributed in print by Oxford University Press. 
504 |a Includes bibliographical references and index. 
505 0 0 |t Atomic-Scale Representation and Statistical Learning of Tensorial Properties /  |r Grisafi, Andrea; Wilkins, David M.; Willatt, Michael J.; Ceriotti, Michele /  |u http://dx.doi.org/10.1021/bk-2019-1326.ch001 --  |t Prediction of Mohs Hardness with Machine Learning Methods Using Compositional Features /  |r Garnett, Joy C. /  |u http://dx.doi.org/10.1021/bk-2019-1326.ch002 --  |t High-Dimensional Neural Network Potentials for Atomistic Simulations /  |r Hellström, Matti, Software for Chemistry & Materials BV, De Boelelaan 1083, 1081HV Amsterdam, The Netherlands; Behler, Jörg, Universität Göttingen, Institut für Physikalische Chemie, Theoretische Chemie, Tammannstrasse 6, 37077 Göttingen, Germany /  |u http://dx.doi.org/10.1021/bk-2019-1326.ch003 --  |t Data-Driven Learning Systems for Chemical Reaction Prediction: An Analysis of Recent Approaches /  |r Schwaller, Philippe, IBM Research – Zurich, Rueschlikon 8803, Switzerland, Department of Chemistry and Biochemistry, University of Berne, Berne 3012, Switzerland; Laino, Teodoro, IBM Research – Zurich, Rueschlikon 8803, Switzerland /  |u http://dx.doi.org/10.1021/bk-2019-1326.ch004 --  |t Using Machine Learning To Inform Decisions in Drug Discovery: An Industry Perspective /  |r Green, Darren V. S. /  |u http://dx.doi.org/10.1021/bk-2019-1326.ch005 --  |t Cognitive Materials Discovery and Onset of the 5th Discovery Paradigm /  |r Zubarev, Dmitry Y.; Pitera, Jed W. /  |u http://dx.doi.org/10.1021/bk-2019-1326.ch006 --  |t Editors’ Biographies /  |u http://dx.doi.org/10.1021/bk-2019-1326.ot001 
588 |a Description based on publisher-supplied information and home-page. 
590 |a American Chemical Society, ACS Symposium Series eBooks - 2019 Front Files. 
650 0 |a Machine learning. 
650 0 |a Chemisty  |x Computer programs. 
650 0 |a Chemistry  |x Computer simulation. 
650 0 |a Statistical hypothesis testing  |x Computer programs. 
650 0 |a Chemistry  |x Statistical methods  |x Computer programs. 
650 0 |a Chemistry  |x Molecular aspects  |x Statistical methods  |x Computer programs. 
650 0 |a Hardness  |x Forecasting  |x Computer programs. 
650 0 |a Neural networks (Computer science) 
650 0 |a Chemical reactions  |x Forecasting  |x Computer simulation. 
650 0 |a Drugs  |x Research  |x Computer simulation. 
650 0 |a Paradigm (Theory of knowledge)  |x Computer simulation. 
650 0 |a Learning by discovery  |x Computer simulation. 
650 1 2 |a Machine Learning. 
650 1 2 |a Chemistry  |x education. 
650 2 2 |a Statistics as Topic. 
650 2 2 |a Hardness. 
650 2 2 |a Neural Networks, Computer. 
650 2 2 |a Pharmaceutical Preparations  |x analysis. 
650 2 2 |a Computer Simulation. 
650 7 |a SCIENCE / Chemistry / Computational & Molecular Modeling.  |2 bisacsh 
655 7 |a Electronic books.  |2 local 
655 7 |a COMPUTERS / Data Science / Machine Learning.  |2 bisacsh 
700 1 |a Pyzer-Knapp, Edward O.,  |e editor.  |u IBM Research—UK , Daresbury, UK. 
700 1 |a Laino, Teodoro,  |e editor.  |u IBM Research—Zurich, Rueschlikon, Switzerland. 
710 2 |a American Chemical Society.  |b Division of Computers in Chemistry,  |e sponsoring body. 
776 1 |c Original  |z 9780841235052 (alk. paper)  |w (DLC) 2019048154 
830 0 |a ACS symposium series ;  |v 1326.  |x 1947-5918 
856 4 0 |u http://proxy.library.tamu.edu/login?url=http://dx.doi.org/10.1021/bk-2019-1326  |z Connect to the full text of this electronic book  |t 0 
999 f f |s 634237d6-67a5-3597-8c96-9027040cd05a  |i 606b421d-29af-3472-bbb6-dadc6e931292  |t 0 
952 f f |a Texas A&M University  |b College Station  |c Electronic Resources  |d Available Online  |t 0  |e Q325.5 .M33 2019  |h Library of Congress classification 
998 f f |a Q325.5 .M33 2019  |t 0  |l Available Online