Data Science in Chemistry

Artificial Intelligence, Big Data, Chemometrics and Quantum Computing with Jupyter
1. Auflage 2020
ISBN: 978-3-11-062939-2
Verlag: De Gruyter

Buch, Englisch, 522 Seiten, Format (B × H): 170 mm x 240 mm, Gewicht: 902 g

Reihe: De Gruyter Textbook

The ever-growing wealth of information has led to the emergence of a fourth paradigm of science. This new field of activity – data science – includes computer science, mathematics and a given specialist domain. This book focuses on chemistry, explaining how to use data science for deep insights and take chemical research and engineering to the next level. It covers modern aspects like Big Data, Artificial Intelligence and Quantum computing.

Zielgruppe

Students and educators in Chemistry or Chemical Engineering; scie

Autoren/Hrsg.

Gressling, Thorsten

Fachgebiete

• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Verfahrenstechnik, Chemieingenieurwesen
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein Soziale und ethische Aspekte der EDV
• Naturwissenschaften Chemie Physikalische Chemie
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Naturwissenschaften Chemie Chemie Allgemein Chemometrik, Chemoinformatik

Über Autor(innen)

Dr. Gressling received his PhD in solid-state and theoretical chemistry from Kiel University in 1996. After three decades of working in software development and the emerging field of data science, he is now employed as Business Leader Artificial Intelligence at the software consultancy ARS.