Artificial Intelligence In Chemistry PDF Download
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| Author | : Jon Paul Janet |
| Publisher | : American Chemical Society |
| Total Pages | : 189 |
| Release | : 2020-05-28 |
| Genre | : Science |
| ISBN | : 0841299005 |
Download Machine Learning in Chemistry Book in PDF, ePub and Kindle
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
| Author | : Hugh M Cartwright |
| Publisher | : Royal Society of Chemistry |
| Total Pages | : 564 |
| Release | : 2020-07-15 |
| Genre | : Science |
| ISBN | : 1839160241 |
Download Machine Learning in Chemistry Book in PDF, ePub and Kindle
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.
| Author | : Takashiro Akitsu |
| Publisher | : Elsevier |
| Total Pages | : 280 |
| Release | : 2021-10-08 |
| Genre | : Science |
| ISBN | : 0128232722 |
Download Computational and Data-Driven Chemistry Using Artificial Intelligence Book in PDF, ePub and Kindle
Computational and Data-Driven Chemistry Using Artificial Intelligence: Volume 1: Fundamentals, Methods and Applications highlights fundamental knowledge and current developments in the field, giving readers insight into how these tools can be harnessed to enhance their own work. Offering the ability to process large or complex data-sets, compare molecular characteristics and behaviors, and help researchers design or identify new structures, Artificial Intelligence (AI) holds huge potential to revolutionize the future of chemistry. Volume 1 explores the fundamental knowledge and current methods being used to apply AI across a whole host of chemistry applications. Drawing on the knowledge of its expert team of global contributors, the book offers fascinating insight into this rapidly developing field and serves as a great resource for all those interested in exploring the opportunities afforded by the intersection of chemistry and AI in their own work. Part 1 provides foundational information on AI in chemistry, with an introduction to the field and guidance on database usage and statistical analysis to help support newcomers to the field. Part 2 then goes on to discuss approaches currently used to address problems in broad areas such as computational and theoretical chemistry; materials, synthetic and medicinal chemistry; crystallography, analytical chemistry, and spectroscopy. Finally, potential future trends in the field are discussed. Provides an accessible introduction to the current state and future possibilities for AI in chemistry Explores how computational chemistry methods and approaches can both enhance and be enhanced by AI Highlights the interdisciplinary and broad applicability of AI tools across a wide range of chemistry fields
| Author | : Nathan Brown |
| Publisher | : Royal Society of Chemistry |
| Total Pages | : 425 |
| Release | : 2020-11-04 |
| Genre | : Computers |
| ISBN | : 1839160543 |
Download Artificial Intelligence in Drug Discovery Book in PDF, ePub and Kindle
Following significant advances in deep learning and related areas interest in artificial intelligence (AI) has rapidly grown. In particular, the application of AI in drug discovery provides an opportunity to tackle challenges that previously have been difficult to solve, such as predicting properties, designing molecules and optimising synthetic routes. Artificial Intelligence in Drug Discovery aims to introduce the reader to AI and machine learning tools and techniques, and to outline specific challenges including designing new molecular structures, synthesis planning and simulation. Providing a wealth of information from leading experts in the field this book is ideal for students, postgraduates and established researchers in both industry and academia.
| Author | : Hugh M. Cartwright |
| Publisher | : Oxford University Press on Demand |
| Total Pages | : 92 |
| Release | : 1993 |
| Genre | : Computers |
| ISBN | : 9780198557364 |
Download Applications of Artificial Intelligence in Chemistry Book in PDF, ePub and Kindle
It is clear that the techniques of artificial intelligence are useful for more than just the development of thinking machines; they constitute powerful problem-solving tools in their own right and expand the range of problems in science that can be tackled. AI methods can now be used on a routine basis by scientists in academic research as well as the commercial world, it is therefore vital that science students are exposed to, and understand these techniques. This is the first book topresent an introduction to AI methods for science undergraduates. The examples are drawn mainly from chemistry but the book is suited to a general scientific audience wanting to know more about how computers can help to understand and interpret science.
| Author | : Hugh Cartwright |
| Publisher | : CRC Press |
| Total Pages | : 358 |
| Release | : 2008-05-05 |
| Genre | : Science |
| ISBN | : 0849384141 |
Download Using Artificial Intelligence in Chemistry and Biology Book in PDF, ePub and Kindle
Possessing great potential power for gathering and managing data in chemistry, biology, and other sciences, Artificial Intelligence (AI) methods are prompting increased exploration into the most effective areas for implementation. A comprehensive resource documenting the current state-of-the-science and future directions of the field is required to
| Author | : José S. Torrecilla |
| Publisher | : Frontiers Media SA |
| Total Pages | : 89 |
| Release | : 2020-07-17 |
| Genre | : |
| ISBN | : 2889638707 |
Download Artificial Intelligence in Chemistry Book in PDF, ePub and Kindle
| Author | : Thomas E. Quantrille |
| Publisher | : Elsevier |
| Total Pages | : 634 |
| Release | : 2012-12-02 |
| Genre | : Technology & Engineering |
| ISBN | : 0080571212 |
Download Artificial Intelligence in Chemical Engineering Book in PDF, ePub and Kindle
Artificial intelligence (AI) is the part of computer science concerned with designing intelligent computer systems (systems that exhibit characteristics we associate with intelligence in human behavior). This book is the first published textbook of AI in chemical engineering, and provides broad and in-depth coverage of AI programming, AI principles, expert systems, and neural networks in chemical engineering. This book introduces the computational means and methodologies that are used to enable computers to perform intelligent engineering tasks. A key goal is to move beyond the principles of AI into its applications in chemical engineering. After reading this book, a chemical engineer will have a firm grounding in AI, know what chemical engineering applications of AI exist today, and understand the current challenges facing AI in engineering. Allows the reader to learn AI quickly using inexpensive personal computers Contains a large number of illustrative examples, simple exercises, and complex practice problems and solutions Includes a computer diskette for an illustrated case study Demonstrates an expert system for separation synthesis (EXSEP) Presents a detailed review of published literature on expert systems and neural networks in chemical engineering
| Author | : Edward O. Pyzer-Knapp |
| Publisher | : |
| Total Pages | : 140 |
| Release | : 2020-10-22 |
| Genre | : Science |
| ISBN | : 9780841235052 |
Download Machine Learning in Chemistry Book in PDF, ePub and Kindle
Atomic-scale representation and statistical learning of tensorial properties -- Prediction of Mohs hardness with machine learning methods using compositional features -- High-dimensional neural network potentials for atomistic simulations -- Data-driven learning systems for chemical reaction prediction: an analysis of recent approaches -- Using machine learning to inform decisions in drug discovery : an industry perspective -- Cognitive materials discovery and onset of the 5th discovery paradigm.
| Author | : Philip Judson |
| Publisher | : Royal Society of Chemistry |
| Total Pages | : 284 |
| Release | : 2019-02-07 |
| Genre | : Chemistry |
| ISBN | : 1788014715 |
Download Knowledge-based Expert Systems in Chemistry Book in PDF, ePub and Kindle
There have been significant developments in the use of knowledge-based expert systems in chemistry since the first edition of this book was published in 2009. This new edition has been thoroughly revised and updated to reflect the advances. The underlying theme of the book is still the need for computer systems that work with uncertain or qualitative data to support decision-making based on reasoned judgements. With the continuing evolution of regulations for the assessment of chemical hazards, and changes in thinking about how scientific decisions should be made, that need is ever greater. Knowledge-based expert systems are well established in chemistry, especially in relation to toxicology, and they are used routinely to support regulatory submissions. The effectiveness and continued acceptance of computer prediction depends on our ability to assess the trustworthiness of predictions and the validity of the models on which they are based. Written by a pioneer in the field, this book provides an essential reference for anyone interested in the uses of artificial intelligence for decision making in chemistry. r in the field, this book provides an essential reference for anyone interested in the uses of artificial intelligence for decision making in chemistry.r in the field, this book provides an essential reference for anyone interested in the uses of artificial intelligence for decision making in chemistry.r in the field, this book provides an essential reference for anyone interested in the uses of artificial intelligence for decision making in chemistry.
