000			01881nam a2200289 i 4500
003			OSt
008			22121t20222022gw a e 001 0 eng d
020			_a9783110738049 _cRM563.57 _qpaperback
040			_aPPAK _beng _cPPAK _erda
082	0	4	_223 _a620.11028563
090	0	0	_a620.11028563 _bACC _dR
245	0	0	_aAccelerated materials discovery : _bHow to Use Artificial Intelligence to Speed Up Development / _cEdited by Phil De Luna
264		1	_aBerlin ; Boston : _bWalter de Gruyter GmbH, _c2022
264		4	_c©2022
300			_ax, 205 pages : _bcolour illustrations ; _c24 cm.
336			_atext _2rdacontent
337			_aunmediated _2rdamedia
338			_avolume _2rdacarrier
490	1		_aDe Gruyter STEM
500			_aIncludes index
520			_aTypical timelines to go from discovery to impact in the advanced materials sector are between 10 to 30 years. Advances in robotics and artificial intelligence are poised to accelerate the discovery and development of new materials dramatically. This book is a primer for any materials scientist looking to future-proof their careers and get ahead of the disruption that artificial intelligence and robotic automation is just starting to unleash. It is meant to be an overview of how we can use these disruptive technologies to augment and supercharge our abilities to discover new materials that will solve world's biggest challenges. Written by world leading experts on accelerated materials discovery from academia (UC Berkeley, Caltech, UBC, Cornell, etc.), industry (Toyota Research Institute, Citrine Informatics) and national labs (National Research Council of Canada, Lawrence Berkeley National Labs)
650	1	0	_aMaterials science _vData processing.
650	2	0	_aArtificial intelligence _vEngineering applications.
700	1		_aDe Luna, Phil, _eeditor.
830		0	_aDe Gruyter STEM
942			_2ddc _cB
999			_c190522 _d190522