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Established in 2020, POSTECH Mathematical Institute for Data Science (MINDS) is the community of researchers in the areas of fundamental data science, machine learning, artificial intelligence, scientific computing, and humanitarian data science. MINDS mission is to provide a platform for collaboration among researchers and to provide various opportunities for students in data science. MINDS also aims to use our data science research to serve our local and global communities pursuing humanitarian data science.

News

🌟 DACON Ranker Special Lecture: Winning Strategies for AI Competitions 🌟 2023.11.30

3nd POSTECH&Peking SIAM Student Chapter Joint Conference 2023.11.01

2023 PSSC Summer Camp 2023.10.04

[POSTECH(포항공과대학교) 수리 데이터과학 연구소 연구계약직 공고]-상시모집 2023.07.25

[POSTECH(포항공과대학교) 수리 데이터과학 연구소 연구계약직 공고] 2023.07.14

[POSTECH(포항공과대학교) 수리 데이터과학 연구소 연구교수 채용 공고] 2023.06.12

Seminar | Joint seminar for probability and mathematical biology 2023.05.02

[POSTECH(포항공과대학교) 수리 데이터과학 연구소 연구계약직 공고] 2023.02.15

Upcoming Events

Schedule

MINDS SEMINAR

MINDS Seminar Series | Robert Klöfkorn (Lund University) - Solving PDEs with DUNE and DUNE-FEM

MINDS SEMINAR

period : 2023-04-11 ~ 2023-04-11

time : 17:00:00 ~ 18:00:00

개최 장소 : Math Bldg 213 & Online streaming (Zoom)

Topic : Solving PDEs with DUNE and DUNE-FEM

개요

Date	2023-04-11 ~ 2023-04-11	Time	17:00:00 ~ 18:00:00
Speaker	Robert Klöfkorn	Affiliation	Lund University
Place	Math Bldg 213 & Online streaming (Zoom)	Streaming link	ID : 688 896 1076 / PW : 54321
Topic	Solving PDEs with DUNE and DUNE-FEM
Contents	For about two decades the Distributed and Unified Numerics Environment (DUNE:https://dune-project.org) has been an active part in the scientific development of computational software and technology and it's C++ routines are the basis for several other well established open source projects, for example,DuMux (https://dumux.org) or the Open Porous Media Initiative (https://opm-project.org).Although the C++ interfaces of DUNE are highly flexible and customizable, a solid knowledge of C++ is necessary to make use of this powerful tool. In this talk we give an overview on recent development towards a Python interface for DUNE and in particular DUNE-FEM, a module which provides highly efficient implementations of hp-adaptive Discontinuous Galerkin (DG) methods for solving a wide range of non linear partial differential equations, for example, atmospheric flow or two-phase flow in porous media.Providing easier user interfaces based on Python and the Unified Form Language (UFL) opens DUNE-FEM to a broader audience, for example, Bachelor and Master students. This talk will also briefly discuss how Python and DUNE are embedded in teaching of Numerical Analysis courses at Lund University.