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First-passage times to anisotropic partially reactive targets
Adrien Chaigneau1, Denis S Grebenkov1
1Laboratoire de Physique de la Matière Condensée (UMR 7643), CNRS-Ecole Polytechnique, IP Paris, 91120 Palaiseau, France.
Physical Review. E
|June 16, 2022
Summary
We developed a simple approximation for restricted diffusion towards a target in higher dimensions. This method accurately predicts reaction rates and trapping capacity, considering target shape and reactivity.
Area of Science:
- Mathematical Physics
- Physical Chemistry
- Biophysics
Background:
- Restricted diffusion in bounded domains is crucial for understanding reaction dynamics.
- Partially reactive targets in complex geometries present significant analytical challenges.
Purpose of the Study:
- To propose an explicit approximation for the principal eigenvalue of the Laplace operator with mixed boundary conditions.
- To determine the mean first-reaction time, survival probability decay, and reaction rates.
- To analyze the influence of target shape and anisotropy on diffusion-controlled reactions.
Main Methods:
- Developing an explicit approximation involving harmonic capacity, surface area, domain volume, diffusion coefficient, and reactivity.
- Validating the approximation using the finite-elements method.
- Computing harmonic capacities for prolate and oblate spheroids in various dimensions.
Main Results:
- The approximation accurately predicts reaction dynamics, including mean first-reaction time and overall reaction rate.
- A key lengthscale of the target was identified, determining its trapping capacity.
- Target anisotropy significantly affects the principal eigenvalue, with calculations performed for different spheroid shapes.
Conclusions:
- The proposed approximation offers a powerful tool for studying restricted diffusion and reaction kinetics in complex systems.
- Understanding target shape effects is vital for predicting reaction outcomes in chemical physics and biophysics.
- The findings provide insights into diffusion-controlled processes relevant to biological and chemical systems.

