International School on Modeling in Crystal Growth is an accompanying event of the International Workshop on Modelling in Crystal Growth.

08:00 – 08:30 Registration
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08:30 – 09:00 Lecture 1
Introduction
Various scales and technics for modelling crystal growth.
Contents, organization and schedule of the school.
Thierry Duffar
University Grenoble Alpes/Grenoble INP, CNRS, SIMAP, Grenoble, France
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09:00-10:00 Lecture 2
Economical aspects
Several industrial examples on how modeling can help. Costs and benefits.
Marc Hainke^{1, 2
1} Fraunhofer IISB, Erlangen, Germany
² Ostbayerische Technische Hochschule (OTH) Amberg-Weiden, Weiden, Germany
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10:00–10:20  Coffee break
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10:20–11:50  Lecture 3
Macro 1: Physical phenomena
Transport equations to be modeled (incl. magnetic field, dislocations, point defects …)
Jeffrey J. Derby
Department of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis,U.S.A.
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11:50–12:10   Coffee break
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12:10 – 13:40  Lecture 4
Macro 2: Resolution techniques
How it works (Mesh, Matrix, Gauss, Newton, implicit/explicit …), FEM, FVM, view factors, impact of numerical parameters …
Simon Brandon
Technion – Israel Institute of Technology, Haifa, Israel
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13:40–15:10   Lunch break
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15:00 – 18:30  Practical session 1
PRACTICAL 1 : CGSim
Building a model: Czochralski growth of Si crystal
Playing with the numerical parameters (mesh, Δt, accuracy…) and some process effects (counter/co rotation …)
Andrey Smirnov
Semiconductor Technology Research d.o.o. Beograd, Belgrade, Serbia

08:30-10.00  Lecture 8
Macro 4: Case study
Industrial development of crystal growth technology based on crystal growth modeling
Lijun Liu
Xi’an Jiaotong University, China
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10:00-10.20  Coffee break
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10:20-11.50  Lecture 9
Phase field
How it works. What can and cannot be expected.
Mathis Plapp
Laboratoire de Physique de la Matière Condensée, CNRS, Ecole Polytechnique, Institut Polytechnique de Paris, Palaiseau, France
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11:50-12.10  Coffee break
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12:10-13.40  Lecture 10
Artificial Intelligence
Exemples of uses in crystal growth. How it works.
Kentaro Kutsukake^1,2
1Institute of Materials and Systems for Sustainability, Nagoya University, Nagoya, Japan
^{2Graduate School of Engineering, Nagoya University, Nagoya, Japan}
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13:40-15.00  Lunch break
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15:00-18.30  Practical session 3
PRACTICAL 3: parallel Workshops, 1.5  hours each
Groups of up to 5 students. Each group attends two workshops.

• Phase field (Mathis Plapp)
• AI-Neural network (Kentaro Kutsukake)
• Monte Carlo for Epitaxy (Roberto Bergamaschini)
• More CGSim (STR)
• Elmer (Kaspars Dadzik)
• Molecular Dynamics, short demo (Talid Sinno)

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19:00-22:00  School dinner