Author: Olga I. AgapovaPublisher: Kendall Hunt
ISBN: 9780787257668
Category : Chemistry
Languages : en
Pages : 250
Book Description
ChemDiscovery Student Guide
Author: Olga I. AgapovaPublisher: Kendall Hunt
ISBN: 9780787257668
Category : Chemistry
Languages : en
Pages : 250
Book Description
ChemDiscovery Teacher Edition
Author: Olga I. AgapovaPublisher: Kendall Hunt
ISBN: 9780787257682
Category : Chemistry
Languages : en
Pages : 338
Book Description
ChemDiscovery Lab Manual
Author: Olga I. AgapovaPublisher: Kendall Hunt
ISBN: 9780787257675
Category : Chemistry
Languages : en
Pages : 148
Book Description
Visualization in Science Education
Author: John K. GilbertPublisher: Springer Science & Business Media
ISBN: 1402036132
Category : Science
Languages : en
Pages : 375
Book Description
This book addresses key issues concerning visualization in the teaching and learning of science at any level in educational systems. It is the first book specifically on visualization in science education. The book draws on the insights from cognitive psychology, science, and education, by experts from five countries. It unites these with the practice of science education, particularly the ever-increasing use of computer-managed modelling packages.
The Cambridge Handbook of Multimedia Learning
Author: Richard E. MayerPublisher: Cambridge University Press
ISBN: 9780521838733
Category : Education
Languages : en
Pages : 688
Book Description
This 2005 book constitutes comprehensive coverage of research and theory in the field of multimedia learning.
Chemical Abstracts
Author: Journal of the American Chemical Society
Author: American Chemical SocietyPublisher:
ISBN:
Category : Chemistry
Languages : en
Pages : 1318
Book Description
Issues for 1898-1901 include Review of American chemical research, v. 4-7; 1879-1937, the society's Proceedings.
Quantum Chemistry in the Age of Machine Learning
Author: Pavlo O. DralPublisher: Elsevier
ISBN: 0323886043
Category : Science
Languages : en
Pages : 702
Book Description
Quantum chemistry is simulating atomistic systems according to the laws of quantum mechanics, and such simulations are essential for our understanding of the world and for technological progress. Machine learning revolutionizes quantum chemistry by increasing simulation speed and accuracy and obtaining new insights. However, for nonspecialists, learning about this vast field is a formidable challenge. Quantum Chemistry in the Age of Machine Learning covers this exciting field in detail, ranging from basic concepts to comprehensive methodological details to providing detailed codes and hands-on tutorials. Such an approach helps readers get a quick overview of existing techniques and provides an opportunity to learn the intricacies and inner workings of state-of-the-art methods. The book describes the underlying concepts of machine learning and quantum chemistry, machine learning potentials and learning of other quantum chemical properties, machine learning-improved quantum chemical methods, analysis of Big Data from simulations, and materials design with machine learning. Drawing on the expertise of a team of specialist contributors, this book serves as a valuable guide for both aspiring beginners and specialists in this exciting field. - Compiles advances of machine learning in quantum chemistry across different areas into a single resource - Provides insights into the underlying concepts of machine learning techniques that are relevant to quantum chemistry - Describes, in detail, the current state-of-the-art machine learning-based methods in quantum chemistry
Machine Learning in Chemistry
Author: Hugh M. CartwrightPublisher: Royal Society of Chemistry
ISBN: 1788017897
Category : Science
Languages : en
Pages : 564
Book Description
Progress in the application of machine learning (ML) to the physical and life sciences has been rapid. A decade ago, the method was mainly of interest to those in computer science departments, but more recently ML tools have been developed that show significant potential across wide areas of science. There is a growing consensus that ML software, and related areas of artificial intelligence, may, in due course, become as fundamental to scientific research as computers themselves. Yet a perception remains that ML is obscure or esoteric, that only computer scientists can really understand it, and that few meaningful applications in scientific research exist. This book challenges that view. With contributions from leading research groups, it presents in-depth examples to illustrate how ML can be applied to real chemical problems. Through these examples, the reader can both gain a feel for what ML can and cannot (so far) achieve, and also identify characteristics that might make a problem in physical science amenable to a ML approach. This text is a valuable resource for scientists who are intrigued by the power of machine learning and want to learn more about how it can be applied in their own field.
Machine Learning in Chemistry
Author: Jon Paul JanetPublisher: American Chemical Society
ISBN: 0841299005
Category : Science
Languages : en
Pages : 189
Book Description
Recent advances in machine learning or artificial intelligence for vision and natural language processing that have enabled the development of new technologies such as personal assistants or self-driving cars have brought machine learning and artificial intelligence to the forefront of popular culture. The accumulation of these algorithmic advances along with the increasing availability of large data sets and readily available high performance computing has played an important role in bringing machine learning applications to such a wide range of disciplines. Given the emphasis in the chemical sciences on the relationship between structure and function, whether in biochemistry or in materials chemistry, adoption of machine learning by chemistsderivations where they are important