Estimating aerosol particle charging parameters using a Bayesian inversion technique

C.J. Hogan Jr.; L. Li; D.-r. Chen; P. Biswas

doi:10.1016/j.jaerosci.2008.11.008

Back

Journal article

Estimating aerosol particle charging parameters using a Bayesian inversion technique

C.J. Hogan Jr., L. Li, D.-r. Chen and P. Biswas

Journal of Aerosol Science, Vol.40(4), pp.295-306

2009

DOI: https://doi.org/10.1016/j.jaerosci.2008.11.008

Files and links (1)

url

https://www.scopus.com/inward/record.uri?eid=2-s2.0-61349087888&doi=10.1016%2fj.jaerosci.2008.11.008&partnerID=40&md5=9d9b4decf123cd12fd7e98f7d45ac97bView

Metrics

4 Record Views

12 Times Cited - Web of Science

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types: Domestic collaboration
Citation topics: 8 Earth Sciences; 8.124 Environmental Sciences; 8.124.10 Aerosols
Web Of Science research areas: Engineering, Chemical; Engineering, Mechanical; Environmental Sciences; Meteorology & Atmospheric Sciences
ESI research areas: Chemistry

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

Source: InCites

Details

Title: Estimating aerosol particle charging parameters using a Bayesian inversion technique
Creators: C.J. Hogan Jr.
L. Li - Washington University in St. Louis
D.-r. Chen - Washington University in St. Louis
P. Biswas - Washington University in St. Louis
Publication Details: Journal of Aerosol Science, Vol.40(4), pp.295-306
Comment: Export Date: 11 April 2022
Academic Unit: College of Engineering Administration; Leadership Department; College of Engineering
Resource Type: Journal article
Record Identifier: 991031686707302976