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Michal Branicki

Researcher at University of Edinburgh

Publications -  40
Citations -  1585

Michal Branicki is an academic researcher from University of Edinburgh. The author has contributed to research in topics: Dynamical systems theory & Uncertainty quantification. The author has an hindex of 18, co-authored 40 publications receiving 1380 citations. Previous affiliations of Michal Branicki include The Turing Institute & University of Delaware.

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The Mosaic of Surface Charge in Contact Electrification

TL;DR: It is demonstrated that each contact-electrified piece develops a net charge of either positive or negative polarity, and each surface supports a random “mosaic” of oppositely charged regions of nanoscopic dimensions that accommodate significantly more charge per unit area than previously thought.
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Finite-time Lagrangian transport analysis: stable and unstable manifolds of hyperbolic trajectories and finite-time Lyapunov exponents

TL;DR: In this paper, the Lagrangian characterisation of flow structures arising in aperiodically time-dependent vector fields that are only known on a finite time interval is considered and a variety of examples, some with explicit solutions, that illustrate in a concrete manner the issues and phenomena that arise in the setting of finite-time dynamical systems.
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Lessons in uncertainty quantification for turbulent dynamical systems

TL;DR: A large number of new theoretical and computational phenomena which arise in the emerging statistical-stochastic framework for quantifying and mitigating model error in imperfect predictions, such as the existence of information barriers to model improvement, are developed and reviewed here with the intention to introduce mathematician, applied mathematicians, and scientists to these remarkable emerging topics with increasing practical importance.
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Fundamental limitations of polynomial chaos for uncertainty quantification in systems with intermittent instabilities

TL;DR: In this paper, the suitability of truncated polynomial chaos expansions (PCE) and truncated GramCharlier Expansions (GrChE) as possible methods for uncertainty quantification (UQ) in nonlinear systems with intermittency and positive Lyapunov exponents is examined.
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An adaptive method for computing invariant manifolds in non-autonomous, three-dimensional dynamical systems

TL;DR: In this article, a method for determining the geometry of a class of 3D invariant manifolds in non-autonomous (aperiodically time-dependent) dynamical systems is presented.