Participants

*Alphabetical order
From overseas

  • Andrea Bertozzi, University of California, Los Angeles
  • Xingzhi Bian, Shanghai University
  • Frédéric Flin, National Centre for Meteorological Research
  • Harald Garcke, University of Regensburg
  • Michael Gößwein, University of Duisburg-Essen
  • Philip Herbert, Heriot-Watt University
  • Matthias Hieber, Technical University of Darmstadt
  • Michael Hintermüller, Humboldt University of Berlin
  • John King, The University of Nottingham
  • Balázs Kovács, University of Regensburg
  • Michał Łasica, The Polish Academy of Sciences
  • Chun Liu, Illinois Institute of Technology
  • Jeremy Louis Marzuola, University of North Carolina at Chapel Hill
  • Tim Laux, University of Bonn
  • Olivier Pierre-Louis, CNRS, Institute for Light and Matter
  • Paola Pozzi, University of Duisburg-Essen
  • Thomas Ranner, University of Leeds
  • Arnold Reusken, RWTH Aachen University
  • Elisabetta Rocca, University of Pavia
  • Marcel J. Rost, Leiden University
  • Piotr Rybka, University of Warsaw
  • James A. Sethian, University of California, Berkeley
  • Bjorn Stinner, University of Warwick
  • Yves van Gennip, Delft University of Technology
  • Chandrasekhar Venkataraman, University of Sussex
  • John S. Wettlaufer, Yale University
  • Axel Voigt, (TU Dresden)
  • Glen Wheeler, University of Wollongong

From Japan

  • Tokuhiro Eto, Yahoo Japan Corporation
  • Mi-Ho Giga, The University of Tokyo
  • Hiroki Hibino, Kwansei Gakuin University
  • Pen-Yuan Hsu, The University of Tokyo
  • Takashi Kagaya, Muroran Institute of Technology
  • Masato Kimura, Kanazawa University
  • Yoshihito Kohsaka, Kobe University
  • Miyuki Koiso, Kyushu University
  • Shodai Kubota, Kanagawa University
  • Hirotoshi Kuroda, Hokkaido University
  • Qing Liu, Okinawa Institute of Science and Technology Graduate University
  • Kuniyasu Misu, Hokkaido University
  • Hiroyoshi Mitake, The University of Tokyo
  • Hitoshi Miura, Nagoya City University
  • Tatsu-Hiko Miura, Hirosaki University
  • Tatsuya Miura, Tokyo Institute of Technology
  • Masashi Mizuno, Nihon University
  • Takayuki Nakamuro, The University of Tokyo
  • Atsushi Nakayasu, Kyoto University
  • Masaki Ohnuma, Tokushima University
  • Takeshi Ohtsuka, Gunma University
  • Shinya Okabe, Tohoku University
  • Jun Okamoto, Kyoto University
  • Norbert Požár, Kanazawa University
  • Koya Sakakibara, Okayama University of Science
  • Ken Shirakawa, Chiba University
  • Koichi Sudoh, Osaka University
  • Keisuke Takasao, Kyoto University
  • Shuntaro Tsubouchi, The University of Tokyo
  • Yuki Ueda, Waseda University
  • Masaaki Uesaka, The University of Tokyo
  • Hiroshi Watanabe, Oita University
  • Masahiro Yamamoto, The University of Tokyo

Click Here to find the participants' list of 2022

Submission

Submission of topics

Submission for 2024 will be annouced later.

Program

as of April 28

Archive of the pre-conference ONLINE#2 in 2023

preliminary meeting for the 81st Fujihara seminar

June 6 – 8, 2023

Program

Tuesday, June 6

1:00–1:25 PDT / 10:00–10:25 CEST / 17:00–17:25 JST
Tim Laux (Universität Bonn)
The large-data limit of the MBO scheme for data clustering

2:00–2:25 PDT / 11:00–11:25 CEST / 18:00–18:25 JST
Axel Voigt (Technische Universität Dresden)
Fluid deformable surfaces

Wednesday, June 7

6:00–6:25 PDT / 15:00–15:25 CEST / 22:00–22:25 JST
Masashi Mizuno (Nihon University)
A stochastic model of grain boundary motion

7:00–7:25 PDT / 16:00–16:25 CEST / 23:00–23:25 JST
Andrea Bertozzi (University of California, Los Angeles)
Energy Minimizing Surface Tension Configurations for Microparticles

Thursday, June 8

1:00–1:25 PDT / 10:00–10:25 CEST / 17:00–17:25 JST
Hitoshi Miura (Nagoya City University)
Spontaneous oscillatory phenomenon in crystal growth, accompanied by accelerated growth rate

2:00–2:25 PDT / 11:00–11:25 CEST / 18:00–18:25 JST
Arnold Reusken (RWTH Aachen University)
Tangential Navier-Stokes equations on evolving surfaces: Analysis and simulations

Organizers:

  • Charles M. Elliott (University of Warwick)
  • Yoshikazu Giga (The University of Tokyo)
  • Nao Hamamuki (Hokkaido University)
  • Michael Hinze (University of Koblenz · Landau)
  • Vanessa Styles (University of Sussex)
  • Etsuro Yokoyama (Gakushuin University)
  • Secretariat: Satoko Kimura / labgiga@ms.u-tokyo.ac.jp

Archive of the pre-conference ONLINE in 2022

Tuesday, June 7 2022

4:00–4:25 EDT / 10:00–10:25 CEST / 17:00–17:25 JST
Elisabetta Rocca (University of Pavia)
"A Cahn–Hilliard–Keller–Segel model with generalized logistic source describing tumor growth"

*Presentation file available
*Abstract available

5:00–5:25 EDT / 11:00–11:25 CEST / 18:00–18:25 JST
Koichi Sudoh (Osaka University)
"Surface diffusion driven evolution of periodic arrays of high aspect ratio holes: Experiment and simulation"

*Presentation file available



Wednesday, June 8 2022

8:00–8:25 EDT / 14:00–14:25 CEST / 21:00–21:25 JST
Jeremy Louis Marzuola (University of North Carolina at Chapel Hill)
"Recent progress on 2nd and 4th order nonlinear parabolic models related to epitaxy"

*Presentation file available

9:00–9:25 EDT / 15:00–15:25 CEST / 22:00–22:25 JST
Chun Liu (Illinois Institute of Technology)
"Energetic variational approaches for active and reactive fluids"

*Presentation file available
*Abstract available



Thursday, June 9 2022

4:00–4:25 EDT / 10:00–10:25 CEST / 17:00–17:25 JST
Takashi Kagaya (Muroran Institute of Technology)
"Singular Neumann boundary condition for a class of fully nonlinear parabolic equations"

*Presentation file available
*Abstract available

5:00–5:25 EDT / 11:00–11:25 CEST / 18:00–18:25 JST
Balázs Kovács (University of Regensburg)
"A convergent algorithm for the interaction of mean curvature flow and diffusion"

*Presentation file available
*Abstract available



Topics from participants(As of January 6)

*alphabetical order

Name Topic (s)
Andrea Bertozzi Phase field models and threshold dynamics in microfluidics and data science
free boundary problems in data science; surface area minimization problems in micro fluidic encapsulation
Energy minimizing surfaces for microencapsulation
Xingzhi Bian
Tokuhiro Eto I'm interested in solving the mean curvature flow and the Mullins-Sekerka flow in terms of translating them into variational problems. Deep learning scheme for PDE is currently hot subject to me.
Frédéric Flin A tentative presentation title:
Snow isothermal metamorphism described by a phase-field model applicable on microtomographic images: first results and outlooks
Main topics of interest:
-snow and ice physics
-modeling of free boundaries
-tomography and image analysis
Harald Garcke Viscoelastic phase field models for tumor growth
Interaction of mean curvature flow and diffusion on surfaces
Mi-Ho Giga Partial differential equations of diffusion type
Michael Gößwein Geometric Flows, Parabolic PDEs
Philip Herbert Shape optimisation using Lipschitz functions
Hiroki Hibino
Matthias Hieber
Michael Hintermüller
Pen-Yuan Hsu I am interested in regularity theory for the Navier-Stokes equations, self similar solution, vortex, and tornado-like flow simulation.
Takashi Kagaya Geometric flow, Boundary condition, Asymptotic behavior
Masato Kimura
John King Mathematical biology and continuum mechanics
Yoshihito Kohsaka higher order geometric evolution equation
Miyuki Koiso crystalline variational problems
Balázs Kovács
Shodai Kubota optimal control problem
Hirotoshi Kuroda
Michal Lasica My interests include functionals of linear growth, gradient flows and fourth order problems.
Chun Liu
Qing Liu I am interested in the following topics:
(1) recent developments in convex analysis for material sciences, image processing, control theory, etc: I would like to learn more recent math models arising in these fields for which convexity structures of PDEs or solutions plays an important role.
(2) analysis on non-Euclidean geometry and applications in control theory and data science: For example, analysis and PDEs on general metric spaces has recently attracted a great deal of attention. I am interested in this topic very much. I hope to find more real-world applications in connection with machine learning and data science to motivate our further work.
Dionisios Margetis 4th-order singular parabolic PDE for epitaxial growth with exponential mobility
Jeremy Louis Marzuola Weighted gradient flows in material science models
Kuniyasu Misu obstacle problem
mean curvature flow equation
minimal surface
Hiroyoshi Mitake
Hitoshi Miura
Tatsu-Hiko Miura Interested in PDEs in thin domains and on surfaces
Tatsuya Miura elastic curve, elastic knot, elastic flow, surface diffusion flow, Topping conjecture, isoperimetric inequality, minimal surface, singular set of distance function
Masashi Mizuno grain boundary motion and mean curvature flow, a stochastic model of grain boundary dynamics, nonlinear Fokker-Planck model
Takayuki Nakamuro crystallization, nucleation, crystal growth, transmission microscopy, image analysis, material science
Operando Observation of Crystallization at the Molecular Level by TEM
Atsushi Nakayasu
Masaki Ohnuma
Takeshi Ohtsuka Geometric evolution equation, Crystalline motion, Level set method, Allen-Cahn type equation, Viscosity solution, Numerical analysis, Evolution of spirals
Shinya Okabe Geometric evolution equations, Higher order parabolic equations, Sobolev gradient flows, Obstacle problems.
Jun Okamoto Calculus of variations, Phase-field model
Olivier Pierre-Louis I can talk about: Dynamic Programming; Thermal fluctuations of clusters at surfaces.
I would like to hear about: Cahn-Hilliard and Cahn-Allen models; Control and optimal control.
Norbert Požár Continuum limit of dislocations with annihilation in one dimension
Paola Pozzi At the moment I am interested in the problem of finding a formulation of parametric elastic flow for curves in R^n that is amenable for FE- analysis and at the same yields good mesh properties. This is an ongoing research project in collaboration with Bjoern Stinner and not all results are finalized yet, therefore I would be extremely grateful if you could ask me in advance, whether I am ready to give a talk on this subject, before deciding to assign me a time slot (if any is available).
Thomas Ranner Numerical methods - especially finite element methods
Numerical analysis of partial differential equations
Fluid flow problems
Biologically inspired problems
Elisabetta Rocca Recent advances in phase-field modelling and analysis for tutor growth dynamics
Marcel J. Rost I can talk about:
  • 1) an unusual, non-random nucleation of adatom islands on Pt(111)
  • 2) a surprising place-exchange mechanism, where two oxygens lift a Pt atom almost 1monolayer high
  • 3) a general growth mechanism that leads to nano-island formation during surface reactions with increased lattice constant
  • 4) an overview on: surface science meets electrochemistry: our challenges for the future
I am interested in:
  • a) proper interfacial energy descriptions taking into account also local curvature (Gibbs-Thomson), interaction energies, and surface strain/stress
  • b) 3-fold symmetry of the herringbone reconstruction including stress/strain relation
  • c) Frumkin Isotherms with rate constant or (even better) differential equation descriptions allowing the inclusion of diffusion terms
Piotr Rybka crystal growth, Cahn-Hilliard type equations, total variation flow, convergence of gradient systems, stabilization of solutions to gradient flows
Koya Sakakibara Mathematical and numerical analysis of moving boundary problems
James A. Sethian
Ken Shirakawa gradient system of Kobayashi--Warren--Carter type, phase-field model of grain boundary motion, optimal control problem governed by Kobyashi--Warren--Carter type system
Bjorn Stinner If still possible I'd be delighted if I could give a talk titled "A finite element method for a network of curves evolving by curvature flow with triple junctions"
It is based on joint work with Paola Pozzi and a paper that has recently appeared. Here is a short abstract:
We present a computational method for curvature flow of a network of planar curves. Specifically, we study three parametrised curves that are connected by a triple junction in which conditions are imposed on the angles at which the curves meet. One of the key problems is the choice of a suitable tangential velocity that allows for motion of the triple junction, does not lead to mesh degeneration, and is amenable to an error analysis.
The idea is to start with a classical formulation that accounts for the geometric evolution, i.e., the movement in normal direction of the curves and the angel conditions in the triple junction. We then add a tangential movement such that the impact on the geometric evolution scales with a small regularisation parameter.
The problem admits a natural variational formulation that can be naturally discretised with finite elements. Convergence of the new semi-discrete finite element scheme including optimal error estimates for a fixed regularisation parameter are proved. The influence of the regularisation on the properties of the scheme and the accuracy of the results is numerically investigated.
Koichi Sudoh 1) Experimental research on surface morphology.
2) Modeling and simulation of morphological evolution.
Keisuke Takasao Partial differential equation, Mean curvature flow, Minimal surface, Phase field method, Allen-Cahn equation.
Shuntaro Tsubouchi I am interested in regularity theory on a minimizer of certain energy functionals that involve the total variation energy. My particular interest lies in a very singular equation involving anisotropic diffusivity, which often appears in mathematical modeling of materials, including motion of fluid and crystal growth.
Yuki Ueda
Masaaki Uesaka
Yves van Gennip Differential equations on graphs; discrete-to-continuum convergence; image/data analysis applications
Variational models and PDEs (discrete and continuous) for image processing and data analysis
Chandrasekhar Venkataraman Numerical methods for PDE, Mathematical modeling especially of biological phenomena, Mathematical problems in cell biology
Hiroshi Watanabe Kobayashi-Warren-Carter model, Grain boundary motion, Phase field model, Gradient flow, Free boundary problem
John S. Wettlaufer
Glen Wheeler Geometric PDE, parabolic PDE, nonlinear PDE, Curvature flow
Masahiro Yamamoto