Welcome to MINDS!

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 | Hojun You (Sejong University) - Introduction to Higher-order Methods: A Powerful Tool for High-fidelity Multi-physical Flow Simulations

MINDS SEMINAR

period : 2024-10-15 ~ 2024-10-15

time : 17:00:00 ~ 18:00

개최 장소 : Math Bldg 404 & Online streaming (Zoom)

Topic : Introduction to Higher-order Methods: A Powerful Tool for High-fidelity Multi-physical Flow Simulations

개요

Date	2024-10-15 ~ 2024-10-15	Time	17:00:00 ~ 18:00
Speaker	Hojun You	Affiliation	Sejong University
Place	Math Bldg 404 & Online streaming (Zoom)	Streaming link	ID : 688 896 1076 / PW : 54321
Topic	Introduction to Higher-order Methods: A Powerful Tool for High-fidelity Multi-physical Flow Simulations
Contents	Computational fluid dynamics (CFD) has been rapidly developed with the evolution of high-performance computing devices, such as many-core CPUs and hardware accelerators. At the same time, more complicated flow simulations are demanded for real-life applications, e.g., hypersonic reentry vehicles, magneto-hydrodynamic drive, and urban air mobility. These applications commonly contain massive flow separation, complex shock-vortex interaction, and laminar-to-turbulence transition where second-order finite volume methods (FVMs) are fundamentally limited. In this talk, the speaker introduces high-order methods (HOMs) as promising candidates to overcome the limitations of FVMs. Despite its bright outlook, however, there are still obstacles to be addressed for HOMs to reach industrial levels of applications. The speaker presents four critical challenges: 1. Preserving accuracy and cost-efficiency on hybrid meshes 2. Robust and accurate shock-capturing on multi-physical flows 3. Maximizing the computational performance on modern computing devices 4. Robust and accurate modeling for multi-physical flow simulations Then, the speaker presents recent novel progresses to revolutionize these challenges. Finally, Deneb, a high-performance high-order CFD solver for multi-physical flow simulations, is introduced, including highlights on its attractive features.