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Projects

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Physics-regularized learning (MATH+ EF3-4)

Prof. Dr. Ralf Kornhuber (FU Berlin), Prof. Dr. Carsten Gräser (FU Berlin), Prof. Dr. Christof Schütte (FU Berlin/ZIB)

Jan 01, 2019 — Dec 31, 2021

This methodologically oriented project is devoted to the development and numerical analysis of learning algorithms for (typically large) data sets exploiting a priori knowledge in terms of an auxiliary physical model formulated as partial differential equation.

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Langevin dynamics of particles in membranes (A07)

Prof. Dr. Carsten Gräser (FU Berlin), Prof. Dr. Luigi Delle Site (FU Berlin), Prof. Dr. Ralf Kornhuber (FU Berlin)

Jul 01, 2018 — Jun 30, 2022

The interplay of proteins and curvature of lipid bilayers is well-known to regulate cell morphology and a variety of cellular functions, such as trafficking or signal detection. Here, interplay not only means that proteins can induce curvature by shaping and remodeling the membrane, but also that ...

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Raum-zeit-parallele adaptive Simulation von Phasenfeldmodellen auf Höchstleistungsrechnern

Prof. Dr. Carsten Gräser (FU Berlin)

May 01, 2016 — Oct 31, 2019

Förderprogramm: IKT 2020 – Forschung für Innovationen "Anwendungsorientierte HPC-Software für das Hoch-  und Höchstleistungsrechnen in Wissenschaft und Wirtschaft" Talks: 02/09/2016: C. Gräser, Nonlinearly preconditioned inexact Newton methods for nonsmooth optimization, ...

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Particles in lipid bilayers

Prof. Dr. Carsten Gräser (FU Berlin), Prof. Dr. Carsten Hartmann (BTU), Prof. Dr. Ralf Kornhuber (FU Berlin)

Oct 01, 2014 — Jun 30, 2018

The interplay of proteins and curvature of lipid bilayers is well-known to regulate cell morphology and a variety of cellular functions, such as trafficking or signal detection. Here, interplay not only means that proteins can induce curvature by shaping and re­modeling the membrane, but also ...

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Fast solvers for heterogeneous saddle point problems

Prof. Dr. Carsten Gräser (FU Berlin)

Jun 01, 2014 — May 31, 2017

Objective: The aim of this project is to develop fast solvers for heterogeneous linear saddle point problems as appearing during the iterative solution of non-smooth optimization problems, e.g., in the context of phase field models. While the development of nonlinear solvers for phase field ...