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2019


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Ferromagnetic colloids in liquid crystal solvents

Zarubin, G.

Universität Stuttgart, Stuttgart, 2019 (phdthesis)

icm

link (url) DOI [BibTex]

2019


link (url) DOI [BibTex]


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Fluctuating interface with a pinning potential

Pranjić, Daniel

Universität Stuttgart, Stuttgart, 2019 (mastersthesis)

icm

[BibTex]

[BibTex]


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Controlling pattern formation in the confined Schnakenberg model

Beyer, David Bernhard

Universität Stuttgart, Stuttgart, 2019 (mastersthesis)

icm

[BibTex]

[BibTex]


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Interfaces in fluids of ionic liquid crystals

Bartsch, H.

Universität Stuttgart, Stuttgart, 2019 (phdthesis)

icm

link (url) DOI [BibTex]

link (url) DOI [BibTex]

2018


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Pattern forming systems under confinement

Maihöfer, Michael

Universität Stuttgart, Stuttgart, 2018 (mastersthesis)

icm

[BibTex]

2018


[BibTex]


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Effective interactions between colloidal particles in critical solvents

Labbe-Laurent, M.

Universität Stuttgart, Stuttgart, 2018 (phdthesis)

icm

link (url) DOI [BibTex]

link (url) DOI [BibTex]


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Non-equilibrium dynamics of a binary solvent around heated colloidal particles

Wilke, Moritz

Universität Stuttgart, Stuttgart, 2018 (mastersthesis)

icm

[BibTex]

[BibTex]


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Monte Carlo study of colloidal structure formation at fluid interfaces

Meiler, Tim

Universität Stuttgart, Stuttgart, 2018 (mastersthesis)

icm

[BibTex]

[BibTex]


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Electrolyte solutions and simple fluids at curved walls

Reindl, A.

Universität Stuttgart, Stuttgart, 2018 (phdthesis)

icm

link (url) DOI [BibTex]

link (url) DOI [BibTex]


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Surface structure of liquid crystals

Sattler, Alexander

Universität Stuttgart, Stuttgart, 2018 (mastersthesis)

icm

[BibTex]

[BibTex]


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Dynamics of an active particle in confined viscous flows

Pöhnl, Ruben

Universität Stuttgart, Stuttgart, 2018 (mastersthesis)

icm

[BibTex]

[BibTex]


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Electrostatic interaction between colloids with constant surface potentials at fluid interfaces

Bebon, Rick

Universität Stuttgart, Stuttgart, 2018 (mastersthesis)

icm

[BibTex]

[BibTex]

2008


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Dynamic density functional theory (DDFT)

Rauscher, M.

In Encyclopedia of Microfluidics and Nanofluidics, pages: 428-433, Springer, New York, 2008 (incollection)

icm

[BibTex]

2008


[BibTex]


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Entropic Forces on Bio-Molecules

Hansen-Goos, H.

Universität Stuttgart, Stuttgart, 2008 (phdthesis)

icm

link (url) [BibTex]

link (url) [BibTex]


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Wetting of geometrically structured substrates

Marinescu, M.

Universität Stuttgart, Stuttgart, Germany, 2008 (mastersthesis)

icm

[BibTex]

[BibTex]


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Fluktuations- und Kapillarkräfte zwischen Kolloiden an fluiden Grenzflächen

Lehle, H.

Universität Stuttgart, Stuttgart, 2008 (phdthesis)

icm

link (url) [BibTex]

link (url) [BibTex]


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Microscopic calculation of line tensions

Merath, R.-J.

Universität Stuttgart, Stuttgart, 2008 (phdthesis)

icm

link (url) [BibTex]

link (url) [BibTex]


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Lattice model for fluid flow in narrow channels

Dotti, C.

Universität Stuttgart, Stuttgart, 2008 (phdthesis)

icm

[BibTex]

[BibTex]


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Critical Casimir forces

Mohry, T. F.

Universität Stuttgart, Stuttgart, 2008 (mastersthesis)

icm

[BibTex]

[BibTex]


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Adaptive stair-climbing behaviour with a hybrid legged-wheeled robot

Eich, M., Grimminger, F., Kirchner, F.

In Advances In Mobile Robotics, pages: 768-775, World Scientific, August 2008 (incollection)

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DOI [BibTex]

DOI [BibTex]

2003


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Coexisting Phases in Binary Platelet Mixtures

Bier, M.

Universität Stuttgart, Stuttgart, 2003 (mastersthesis)

icm

[BibTex]

2003


[BibTex]


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Capillary forces between structured substrates

De Souza, E. J.

Universität Stuttgart, Stuttgart, 2003 (mastersthesis)

icm

[BibTex]

[BibTex]


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Statistical physics of stochastic geometries

Brodatzki, U.

Universität Wuppertal, Wuppertal, 2003 (phdthesis)

icm

[BibTex]

[BibTex]


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Colloidal Particles in Critical Fluids

Schlesener, F.

Universität Stuttgart, Stuttgart, 2003 (phdthesis)

icm

[BibTex]

[BibTex]


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Diffusion in quasicrystals

Mehrer, H., Galler, R., Frank, W., Blüher, R., Strohm, A.

In Quasicrystals - Structure and Physical Properties, pages: 312-337, Wiley-VCH, Weinheim, 2003 (incollection)

icm

[BibTex]

[BibTex]


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Structure and Solvation Forces in Binary Hard-Sphere Mixtures

Grodon, C.

Universität Stuttgart, Stuttgart, 2003 (mastersthesis)

icm

[BibTex]

[BibTex]

1999


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Nonparametric regression for learning nonlinear transformations

Schaal, S.

In Prerational Intelligence in Strategies, High-Level Processes and Collective Behavior, 2, pages: 595-621, (Editors: Ritter, H.;Cruse, H.;Dean, J.), Kluwer Academic Publishers, 1999, clmc (inbook)

Abstract
Information processing in animals and artificial movement systems consists of a series of transformations that map sensory signals to intermediate representations, and finally to motor commands. Given the physical and neuroanatomical differences between individuals and the need for plasticity during development, it is highly likely that such transformations are learned rather than pre-programmed by evolution. Such self-organizing processes, capable of discovering nonlinear dependencies between different groups of signals, are one essential part of prerational intelligence. While neural network algorithms seem to be the natural choice when searching for solutions for learning transformations, this paper will take a more careful look at which types of neural networks are actually suited for the requirements of an autonomous learning system. The approach that we will pursue is guided by recent developments in learning theory that have linked neural network learning to well established statistical theories. In particular, this new statistical understanding has given rise to the development of neural network systems that are directly based on statistical methods. One family of such methods stems from nonparametric regression. This paper will compare nonparametric learning with the more widely used parametric counterparts in a non technical fashion, and investigate how these two families differ in their properties and their applicabilities. We will argue that nonparametric neural networks offer a set of characteristics that make them a very promising candidate for on-line learning in autonomous system.

am

link (url) [BibTex]

1999


link (url) [BibTex]