Particle Dynamics with Aggregation and Fragmentation: An Introduction for Scientists and Engineers
Language: English
Published by Oxford University Press, 2025
- Hardcover
- New

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- Title
- Particle Dynamics with Aggregation and Fragmentation: An Introduction for Scientists and Engineers
- Author
- Culbert B Laney
- Publisher
- Oxford University Press
- Publication year
- 2025
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0198920660
- ISBN 13
- 9780198920663
The main goal of this book is to provide a complete overview of particle aggregation and fragmentation. It uses broad physical principles such as conservation of mass, momentum, and energy, draws on rigorous mathematical theory and modern high-performance computing, and provides extensive references.
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About the Author
Culbert B. Laney, Affiliate Faculty, Department of Mechanical Engineering, George Mason University and Senior Project Engineer, The Aerospace Corporation
Culbert B. Laney is an Affiliate Faculty member with the Department of Mechanical Engineering at George Mason University. From 1991 to 1996, he was an Assistant Professor of Aerospace Engineering Sciences at the University of Colorado, Boulder. From 2002 to 2003, he was a Visiting Associate Professor of Mechanical and Aerospace Engineering at the University of Florida, Research Engineering and Education Facility. The author obtained a B.S. in Mathematics from the University of Maryland in 1984, an M.S. in Computer Science from Cornell University in 1989, and a Ph.D. in Applied Mathematics from Cornell University in 1991.
Culbert B. Laney is an Affiliate Faculty member with the Department of Mechanical Engineering at George Mason University. From 1991 to 1996, he was an Assistant Professor of Aerospace Engineering Sciences at the University of Colorado, Boulder. From 2002 to 2003, he was a Visiting Associate Professor of Mechanical and Aerospace Engineering at the University of Florida, Research Engineering and Education Facility. The author obtained a B.S. in Mathematics from the University of Maryland in 1984, an M.S. in Computer Science from Cornell University in 1989, and a Ph.D. in Applied Mathematics from Cornell University in 1991.
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