Supplemental material
Aerosol Science and Technology
Volume 53, 2019 - Issue 10
Open access
1,200
Views
9
CrossRef citations to date
0
Altmetric
Original Articles
Optimizing the performance of aerosol photoacoustic cells using a finite element model. Part 2: Application to a two-resonator cell
Michael I. CotterellCollege for Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, UK; ;Observation Based Research, Met Office, Exeter, UK; Correspondence[email protected]
http://orcid.org/0000-0001-5533-7856View further author information
, http://orcid.org/0000-0001-5533-7856View further author information
Gareth P. WardElectromagnetic and Acoustic Materials Group, Department of Physics and Astronomy, University of Exeter, Exeter, UKView further author information
, Alastair P. HibbinsElectromagnetic and Acoustic Materials Group, Department of Physics and Astronomy, University of Exeter, Exeter, UKView further author information
, Andy WilsonObservation Based Research, Met Office, Exeter, UK; View further author information
, Jim M. HaywoodCollege for Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, UK; ;Observation Based Research, Met Office, Exeter, UK; View further author information
& Justin M. LangridgeObservation Based Research, Met Office, Exeter, UK; View further author information
Pages 1128-1148
|
Received 22 Mar 2019, Accepted 24 Jun 2019, Published online: 03 Sep 2019
Related Research Data
Optimizing the performance of aerosol photoacoustic cells using a finite element model. Part 2: Application to a two-resonator cell
Source:
Taylor & Francis
Optimizing the performance of aerosol photoacoustic cells using a finite element model. Part 2: Application to a two-resonator cell
Source:
Taylor & Francis
Optimizing the Performance of Aerosol Photoacoustic Cells using a Finite Element Model. Part 2: Application to a Two-Resonator Cell
Source:
Taylor & Francis
Related research
People also read lists articles that other readers of this article have read.
Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.
Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.