£83.99
£83.99
The first monograph to present the big picture of Artificial Intelligence in spectroscopy. Its rigorous mathematical basis, numerous examples, and reproducible computer calculations make it a valuable guide for theorists, practitioners, and students in chemistry and physics.
This textbook summarizes studies and significant materials on Artificial Intelligence in spectroscopy into a fundamental monograph. Its rigorous mathematical basis, in-depth detailed description, and numerous examples of applications in chemistry and physics make it valuable for theorists, practitioners, and students specializing in data processing in spectroscopy, chemometrics, and analytical chemistry.
The bibliography part briefly describes hundreds of data analytics applications for solving Artificial Intelligence-based spectroscopic tasks in industrial and research laboratories. This book differs from existing brief reviews and articles on this topic in that it forms, for the first time, the big picture of all kinds of Artificial Intelligence methods in spectroscopy. Also, the book provides quickly reproducible computer calculations, illustrating its significant theoretical statements. As such, it can also serve as a practical guide to lecturers in Artificial Intelligence in spectroscopy, including chemometrics and analytical chemistry.
Most chemists have little understanding of crystallography. This book provides a basic, non-mathematical education on crystallographic methods, written in language chemists use. It is designed for students and any chemist who has had no instruction in the subject.
When the spherical molecule C60 was discovered in 1985, a science journalist did more than just report the news. He linked the glamorous discovery to the world of soot science, contriving a spectacular argument between scientists to promote the discoverers’ claim to fame.
This entry-level textbook prepares college students for advanced science courses by bridging the gap from high school chemistry. It emphasizes the history of the discipline to create a storyline, showing how modern chemical vocabulary makes sense only in the light of history.
This multidisciplinary volume presents new research in archaeological chemistry, applying chemical techniques to study the material remains of past cultures. It shows how the field combines analytical chemistry, history, and materials science to better understand our past.
This book describes fundamental mechanisms and catalytic pathways of key enzymes like cytochromes P450 and kinases. Learn to solve kinetic and mechanistic problems and confidently present your results in high-impact journals, even without significant previous experience.
This textbook presents the foundations of electrochemistry, necessary to understand chemical power sources like batteries, hydrogen production, and corrosion protection. It is a systematic presentation from theory to practice, outlining concepts, formulas, and research methods.
Heterogeneous catalysis is founded on solid state chemistry, but the relationship is often elusive. This book provides insights into solid state chemistry to widen the vision of catalysis, covering structure, bonding, and defects and their implications.
This book sums up over half a century of research in derivative spectroscopy. For the first time, it offers the big picture of all spectroscopic and non-spectroscopic derivative methods, with reproducible calculations, serving as a practical guide for researchers and students.
Organic synthesis rarely goes to plan. To fight meagre yields and side reactions, you need to master reaction mechanisms. This book moves you from knowing the simple steps of an undergraduate degree to envisioning the convoluted mechanisms needed in professional practice.
This is the first book to form the big picture of all data analytics methods in spectroscopy. Its rigorous mathematical basis, in-depth descriptions, numerous examples, and reproducible calculations make it a valuable guide for practitioners, students, and lecturers.
This book is the first complete overview of data compression methods in analytical spectroscopy and imaging. Its rigorous mathematical basis, detailed examples, and reproducible computer calculations make it a valuable guide for theorists, practitioners, and students.
This book sums up over half a century of research in derivative spectroscopy. For the first time, it offers the big picture of all spectroscopic and non-spectroscopic derivative methods, with reproducible calculations, serving as a practical guide for researchers and students.
This is the first book to form the big picture of all data analytics methods in spectroscopy. Its rigorous mathematical basis, in-depth descriptions, numerous examples, and reproducible calculations make it a valuable guide for practitioners, students, and lecturers.
For practitioners, researchers, and students, this book covers advanced calibration and the estimation of peak parameters in overlapping spectra. It provides easily reproducible computer calculations, making it a practical guide to analytical spectrometry and chemometrics.
