Michael B. Howland Data-verified
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Researcher
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Biography and Research Information
OverviewAI-generated summary
Michael B. Howland's research focuses on understanding diffusion processes, particularly in the context of passive samplers used for environmental monitoring. His work investigates non-steady-state Fickian diffusion models to reduce uncertainty in estimating diffusion coefficients within gel layers. This approach is applied to diffusive gradients in thin-films (DGT) passive samplers, which are utilized to measure water pollutants. Howland has published a total of four publications, receiving 50 citations, and holds an h-index of 3. His research network includes collaborators from the University of Arkansas at Fayetteville, such as Julian L. Fairey, Samuel D. Hodges, and Margaret K. Bozarth, with whom he has co-authored publications.
Metrics
- h-index: 3
- Publications: 4
- Citations: 52
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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