Geometric crystallography -- Basic aspects of crystal diffraction -- Diffraction of high energy electrons -- Cartesian reference frames in diffractometry -- Indexing of single crystal diffraction patterns -- Ab-inito indexing of Laue patterns -- Indexing of powder diffraction pa…
Due to efficacy and optimization potential of genetic and evolutionary algorithms, they are used in learning and modeling especially with the advent of big data related problems. This book presents the algorithms and strategies specifically associated with pertinent issues in ma…
Machine learning methods have lowered the cost of exploring new structures of unknown compounds, and can be used to predict reasonable expectations and subsequently validated by experimental results. As new insights and several elaborative tools have been developed for materials…
by Black, Robert, Berlinguette, Curtis P., Brown, Amanda K., Carbone, Matthew R., Dagdelen, John, Dunn, Alex, Gates, Ian D., Gomes, Carla P., Gregoire, John M., Gusarov, Sergey, Guzman, Gustavo, Hein, Jason E., Hung, Linda, MacLeod, Benjamin P., Parlane, Fraser G. L., Siahrostami, Samira, Stoyanov, Stanislav R., Suram, Santosh K., Tamblyn, Isaac, Torrisi, Steven B., Yano, Junko
fromDe Gruyter STEM
Typical 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 mate…
by Minerals, Metals and Materials Society, World Congress on Integrated Computational Materials Engineering, Seven Springs, Pa.), Allison, John, Collins, Peter, (Peter C.), Spanos, George
In its most advanced form, Integrated Computational Materials Engineering (ICME) holistically integrates manufacturing simulation, advanced materials models and component performance analysis. This volume contains thirty-five papers presented at the 1st world Congress on Integra…
