Margaret K. Bozarth
Researcher
Graduate Student Researcher
Research Areas
Biomedical Subjects
Biography and Research Information
OverviewAI-generated summary
Margaret K. Bozarth, a graduate student at the University of Arkansas at Fayetteville, investigates environmental monitoring techniques. Her recent publication focuses on the application of non-steady-state Fickian diffusion models to passive samplers, specifically addressing the reduction of uncertainty in estimating gel layer diffusion coefficients for diffusive gradients in thin films. This work contributes to the refinement of methods used for assessing water pollutants. Bozarth collaborates with researchers Julian L. Fairey, Michael B. Howland, and Samuel D. Hodges, all affiliated with the University of Arkansas at Fayetteville, on shared publications. Her scholarly output to date includes one publication, which has garnered 10 citations, and an h-index of 1.
Metrics
- h-index: 1
- Publications: 1
- Citations: 10
Selected Publications
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Non-Steady-State Fickian Diffusion Models Decrease the Estimated Gel Layer Diffusion Coefficient Uncertainty for Diffusive Gradients in Thin-Films Passive Samplers (2023)
Collaboration Network
Top Collaborators
- Non-Steady-State Fickian Diffusion Models Decrease the Estimated Gel Layer Diffusion Coefficient Uncertainty for Diffusive Gradients in Thin-Films Passive Samplers
- Non-Steady-State Fickian Diffusion Models Decrease the Estimated Gel Layer Diffusion Coefficient Uncertainty for Diffusive Gradients in Thin-Films Passive Samplers
- Non-Steady-State Fickian Diffusion Models Decrease the Estimated Gel Layer Diffusion Coefficient Uncertainty for Diffusive Gradients in Thin-Films Passive Samplers
- Non-Steady-State Fickian Diffusion Models Decrease the Estimated Gel Layer Diffusion Coefficient Uncertainty for Diffusive Gradients in Thin-Films Passive Samplers
- Non-Steady-State Fickian Diffusion Models Decrease the Estimated Gel Layer Diffusion Coefficient Uncertainty for Diffusive Gradients in Thin-Films Passive Samplers
- Non-Steady-State Fickian Diffusion Models Decrease the Estimated Gel Layer Diffusion Coefficient Uncertainty for Diffusive Gradients in Thin-Films Passive Samplers
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