000			02879nam a22004575i 4500
999			_c387504 _d387504
001			387504
003			ES-MaUEC
005			20230418095041.0
006			a||||fo|||| 00| 0
007			cr nn 008mamaa
008			230418s2020 sz | s |||| 0|eng d
020			_a9783031023835
024	7		_a10.1007/978-3-031-02383-5 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTA404.23 _b2020 EB
100	1		_aPilania, Ghanshyam _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9688115
245	1	0	_aData-Based Methods for Materials Design and Discovery _bBasic Ideas and General Methods _cby Ghanshyam Pilania, Prasanna V. Balachandran, James E. Gubernatis, Turab Lookman.
250			_a1st edition 2020
264		1	_aCham _bSpringer International Publishing _c2020
300			_a1 recurso en línea (XVI, 172 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Materials and Optics _x2691-1949
505	0		_aPreface -- Acknowledgments -- Introduction -- Materials Representations -- Learning with Large Databases -- Learning with Small Databases -- Multi-Objective Learning -- Multi-Fidelity Learning -- Some Closing Thoughts -- Authors' Biographies.
520			_aMachine learning methods are changing the way we design and discover new materials. This book provides an overview of approaches successfully used in addressing materials problems (alloys, ferroelectrics, dielectrics) with a focus on probabilistic methods, such as Gaussian processes, to accurately estimate density functions. The authors, who have extensive experience in this interdisciplinary field, discuss generalizations where more than one competing material property is involved or data with differing degrees of precision/costs or fidelity/expense needs to be considered.
988			_aSynthesis Collection of Technology_2020
650		7	_2embne _9138253 _aMateriales _xModelos matemáticos
650		7	_2embne _9166090 _aAprendizaje automático
700	1		_aBalachandran, Prasanna V. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9688116
700	1		_aGubernatis, J. E. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9688117
700	1		_aLookman, Turab _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9688118
776	0	8	_iPrinted edition: _z9783031012556
776	0	8	_iPrinted edition: _z9783031002472
776	0	8	_iPrinted edition: _z9783031035111
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-02383-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b04/2023 _dz _eIG _zSI