J. Talbot Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

High Impact

Research Director

University of Central Arkansas

faculty

39 h-index 167 pubs 5,171 cited

Research Areas

SARS-CoV-2 and COVID-19 Research Plant Physiology and Cultivation Studies Protein Structure and Dynamics Microbial infections and disease research Nanoparticles: synthesis and applications Computational Drug Discovery Methods Agronomic Practices and Intercropping Systems

Links

ORCID Lab Website

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OverviewAI-generated summary

J. Talbot's research investigates complex systems, encompassing areas from granular media dynamics to molecular interactions and agricultural optimization. Talbot has explored the role of shape in the forces acting on intruders within dense granular media and has analyzed noisy Jeffery orbits using Fokker-Planck and Langevin methods in both two and three dimensions. Further work has examined search efficiency enhancement through diffusive echo and the optimization of crop yield via desynchronized planting.

In the realm of health sciences, Talbot has contributed to understanding SARS-CoV-2, including the formation mechanism of spike protein and specific antibody immune complexes for precise antibody affinity evaluation. Additionally, research has involved developing models for the computational design of microfarms and predicting the spatial and orientational distribution of SARS-CoV-2 spike proteins on sensing surfaces using a random sequential adsorption model.

With a h-index of 39 and over 167 publications, Talbot's work has been cited more than 5,171 times, designating them as a highly cited researcher. Talbot maintains an active lab website, indicating ongoing research endeavors.