Introduction to Atmospheric Nucleation
Theory, Modeling, and Instrumentation
- 1st Edition - March 1, 2027
- Latest edition
- Editors: Shuai Jiang, Roope Halonen
- Language: English
Introduction to Atmospheric Nucleation: Theory, Modeling, and Instrumentation introduces readers to the most essential and cutting-edge advancements in the field of atmosp… Read more
Description
Description
The book builds solid connections between classical theoretical descriptions, molecular simulations and modeling, as well as laboratory techniques related to atmospheric particle formation. Part I outlines the theoretical basis of nucleation (including classical nucleation theory) and reviews the methods used in atmospheric aerosol nucleation research, giving readers a thorough understanding of the phenomena and research approaches. Part II covers cutting-edge theoretical and computational methodologies, introducing potential energy surface sampling and thermodynamic calculations of molecular clusters using quantum chemistry. Part III discusses experimental research methods, expounding the most critical technical progress in laboratory measurement through the principles and measurement analysis results of chemical ionization mass spectrometers and particle spectrometers. Part IV focuses on atmospheric modelling, offering valuable knowledge and insights into nucleation parameterizations, aerosol dynamics, and the broader climate and environment effects of aerosol nucleation.
The book concludes by discussing real-world nucleation events across diverse environments, such as pristine Arctic and highly polluted urban settings, to illustrate the variability and complexities of atmospheric nucleation. Introduction to Atmospheric Nucleation provides an excellent introductory resource for graduate students and junior researchers in atmospheric chemistry and physics. While the primary focus of this book is on atmospherically relevant molecular clusters and their formation in the gas phase, it will also be of relevance to those exploring physicochemical theories and experimental research methods at the nanoscale such as in (nano)materials science, analytical chemistry involving high-resolution mass spectrometry analysis, and computational chemistry and physics.
Key features
Key features
- Brings theory, modelling, and measurements of atmospheric nucleation together in a single resource for the first time
- Explains the fundamental theories and methodologies related to both computational modeling and experimentation
- Demonstrates links between modelling and measurement techniques, allowing researchers to more easily see the connection between the two
- Includes discussion of machine learning as it is applied in atmospheric science, lacking in existing book literature
Readership
Readership
Table of contents
Table of contents
1. Basics of Nucleation Theory
2. Overview of Atmospheric Aerosol Nucleation Methodology
3. Atmospheric Nucleation Precursors
Part II: Theoretical Methods
4. Cluster Quantum Chemistry and Configurational Sampling
5. Advanced Computational Approaches: Machine Learning/Artificial Intelligence
6. Condensational growth of clusters: kinetic theory and molecular simulations
7. General Dynamic Equation Models for Clustering
8. Molecular dynamics simulations of nucleation and cluster kinetics
Part III: Experimental Approaches
9. Characterization of nucleation molecular clusters compositions
10. Nanoparticle number and size distribution measurement
11. Laminar Flow Tube
12. Smog Chamber
Part IV: Atmospheric modelling
13. Nucleation Parameterizations in Atmospheric Models
14. Aerosol Dynamics Modeling
15. Climate and Environment Effects of Aerosol Nucleation
Part V: Conclusion
16. New particle formation observed in various environments
Product details
Product details
- Edition: 1
- Latest edition
- Published: March 1, 2027
- Language: English
About the editors
About the editors
SJ
Shuai Jiang
Shuai Jiang graduated from Wuhan University with a Bachelor of Science degree in 2011. In 2016, he obtained his Ph.D. in Atmospheric Physics and Atmospheric Environment, with his thesis titled “Thermodynamic and Kinetic Studies of Molecular Clusters for Atmospheric Aerosol Nucleation”. After graduating in 2016, he worked as an assistant professor at the Chinese Academy of Sciences for half a year. In 2017, he joined the University of Science and Technology of China (USTC) as an associate professor. During his tenure at USTC, from 2018 to 2019, he served as a visiting scholar at the University of Delaware in the United States, collaborating with Professor Murray V. Johnston, former president of the American Association for Aerosol Research. Over his six years at USTC, he introduced artificial intelligence into simulation studies of atmospheric aerosol nucleation. In 2023, he joined the College of Environmental Science and Engineering at Nankai University as an associate professor, continuing his work on theoretical calculations of atmospheric aerosol nucleation.
RH