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Daphne Klotsa

Researcher at University of North Carolina at Chapel Hill

Publications -  42
Citations -  1532

Daphne Klotsa is an academic researcher from University of North Carolina at Chapel Hill. The author has contributed to research in topics: Phase (matter) & Reynolds number. The author has an hindex of 17, co-authored 40 publications receiving 1278 citations. Previous affiliations of Daphne Klotsa include University of Nottingham & University of Warwick.

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Understanding shape entropy through local dense packing

TL;DR: It is shown quantitatively that shape drives the phase behavior of systems of anisotropic particles upon crowding through DEFs, and the mechanism that generates directional entropic forces is the maximization of entropy by optimizing local particle packing.
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Emergent collective phenomena in a mixture of hard shapes through active rotation.

TL;DR: This work investigates collective phenomena with rotationally driven spinners of concave shape to demonstrate novel phase behavior of actively rotated particles that is not possible with linear propulsion or in nondriven, equilibrium systems of identical hard particles.
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Electronic Transport in DNA

TL;DR: It is found that random and lambda-DNA have localization lengths allowing for electron motion among a few dozen basepairs only, and a novel enhancement of localization lengths is observed at particular energies for an increasing binary backbone disorder.
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Shape control and compartmentalization in active colloidal cells.

TL;DR: It is demonstrated that the shape of the active colloidal cell can be controlled and compartmentalized by varying the details of the boundary and the character of the spinners and the result is a bubble–crescent configuration, which alternates between two degenerate states over time and exhibits collective migration of the fluid along the boundary.
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Digital Alchemy for Materials Design: Colloids and Beyond.

TL;DR: In this paper, the authors exploit the malleability of the valence of colloidal nanoparticle "elements" to directly and quantitatively link building-block attributes to bulk structure through a statistical thermodynamic framework.