National Taiwan Normal University

The Theoretical Astrophysics Lab

李悅寧/Yueh-Ning Lee
https://web.ntnu.edu.tw/~ynlee/

Research Field

Physics

Introduction

My main interest is to understand how star forms from the diffuse medium, which we call the molecular cloud. Stars are fundamental building blocks of the universe, and one of their key characteristics is their mass. The process though which stars acquire their mass involves multiple physical mechanisms such as gravity, thermal pressure, turbulence, magnetic field, radiation, and cosmic rays. I perform numerical simulations of stellar cluster formation and try to understand how mass is distributed into individual stars. I also do detailed simulations of collapse of prestellar cores to understand the formation of individual stars.

The Theoretical Astrophysics Lab, led by Prof. Yueh-Ning Lee, is part of the Department of Earth Sciences at the NTNU. We use physical modeling and numerical simulation to study the star formation processes, including physics of the interstellar medium and the gas-dust interaction within protoplanetary disks.

The Department of Earth Sciences, NTNU, offers scholarship for overseas students admitted to the graduate programs. The application deadline for enrollment in Spring 2024 is July/31. Please contact the PI directly for information if you are interested in persueing graduate studies in Taiwan.


Research Topics

Astronomy, Star formation, Turbulence and gravity, Interstellar medium, Protoplanetary disk


Honor

2022 Astronomy & Astrophysics Early Career Award

2019-2024 NSTC Einstein Fellow

2019-2024 MOE Yushan Young Scholar


Educational Background

PhD in Astronomy and Astrophysics, Paris Diderot University


1 Vacancy

Job Description

The intern will work on theoretical models that describe the complex physical processes within star-forming region and the protoplanetary disks.

Preferred Intern Education Level

master

Skill sets or Qualities

Basic english communication ability is indispensable. The intern should have received training in fundamental physics, mathematics, and some programming skills.