Transition Metals In Coordination Environments

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Machine Learning in Chemistry

Machine Learning in Chemistry
Author :
Publisher : American Chemical Society
Total Pages : 189
Release :
ISBN-10 : 9780841299009
ISBN-13 : 0841299005
Rating : 4/5 (005 Downloads)

Book Synopsis Machine Learning in Chemistry by : Jon Paul Janet

Download or read book Machine Learning in Chemistry written by Jon Paul Janet and published by American Chemical Society. This book was released on 2020-05-28 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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


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Machine Learning in Chemistry
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Recent advances in machine learning or artificial intelligence for vision and natural language processing that have enabled the development of new technologies
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Inorganic and Organometallic Transition Metal Complexes with Biological Molecules and Living Cells provides a complete overview of this important research area
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Transition Metals in Coordination Environments
Language: en
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This book focuses on the electronic properties of transition metals in coordination environments. These properties are responsible for the unique and intricate