Current position

BRANCHING STOCHASTIC PROCESSES FOR PATH-SPACE REPRESENTATION OF PHOTOSYNTHETIC CHARGES DRIFT-DIFFUSION :
probabilistic representations and statistical estimators in confined spaces and complex geometries

SIGMA Clermont

63178 Aubière Cedex, France +33 4 73 28 80 00

École affiliée à l'Institut National Polytechnique

Laboratoire de recherche - Institut Pascal UMR 6602

GEPEB : Génie des Procédés Energétiques et Biologiques

GSPR : Groupe de recherche sur les Systèmes Photo-Réactifs

Laboratoire Plasma et Conversion d'Énergie UMR 5213

GREPHE : Groupe de Recherche Énergétique, Plasmas et Hors Équilibre

ISC : Ingénierie Statistique de la Complexité

Theoretical modeling of photosynthetic primary steps and thermokinetic couplings. Extension of path-
space Feynman-Kac’s framework to address propagative representations of non-linearly coupled drift-
diffusion models by use of Branching Stochastic Processes. Construction of statistical estimators provi-
ding Monte Carlo numerical implementations in both confined spaces and complex geometries.

BRANCHING STOCHASTIC PROCESSES FOR PATH-SPACE REPRESENTATION OF PHOTOSYNTHETIC CHARGES DRIFT-DIFFUSION : probabilistic representations and statistical estimators in confined spaces and complex geometries

BRANCHING STOCHASTIC PROCESSES FOR PATH-SPACE REPRESENTATION OF PHOTOSYNTHETIC CHARGES DRIFT-DIFFUSION :
probabilistic representations and statistical estimators in confined spaces and complex geometries