Research Output per year

## Personal profile

### Research Interests

Prof Kim is interested in complexity, self-organisation and non-equilibrium processes. Self-organisation is a novel property of complex systems where ordered collective behaviour emerges on a macroscale, which provides a unifying theory for many systems that are constantly changing in time and space. Prof. Kim aspires to understand fundamental mechanisms underpinning complexity (e.g. turbulence, chaos) and the regulation of such complexity into coherent structures (e.g. shear flows), and mechanisms for the breakdown of self-organisation in different systems. She pursues both theory and applications. On the theoretical front, she develops (non-equilibrium) statistical theory (e.g. using probability density function, path integrals, stochastic differential equations, fractional calculus), in particular, a new geometric/information approach, to unify different non-equilibrium processes. On the application front, in the laboratory and astrophysical plasmas, she works on turbulence, mixing, momentum transport, dynamos, magnetic activities and diffusion, fluid dynamics, magnetohydrodynamic turbulence, confinement of fusion plasmas, transport barrier dynamics and the evolution of solar magnetic fields and rotation; in biosystems, homeostasis and its breakdown (tumour, heart rhythm). Her interest in biosystems was sparked not only by the much similarity between biosystems and plasmas/fluids in view of complexity and self-organisation but also by their highly nonlinear/multiscale nature, which she can take advantage of as an excellent framework to develop a new mathematical theory and test against experiments. In particular, Pro. Kim is keen on the information thery (information length) to model complexity and self-organisation in nonlinear dynamical systems, fluid/plasma turbulence, and biosystems.

### Biography

*Supervision of postdocs: Nicolas Leprovost: 16/10/2005-31/03/2008 on PPARC (University of Sheffield); Nicolas Leprovost: 01/04/2008-30/08/2010 on STFC (University of Sheffield); Johan Anderson: 20/03/2007-19/09/2009 on EPSRC (University of Sheffield); Andrew P. Newton: 01/03/2011-30/06/2012 on STFC (University of Sheffield).

*Supervision of PhD Students: Andrew P. Newton (PhD in 2010, University of Sheffield); Jamie Douglas (PhD in 2011, University of Sheffield); Schuyler Nicholson (PhD in 2015, University of Sheffield); Mabruka Mohamed (PhD in 2015, University of Sheffield); Aditi Sood (PhD in 2015, University of Sheffield); Avan Al-Saffar (PhD in 2018, University of Sheffield); Laminu Idris (since 2017); James Heseltine (since 2018); Adrian J Guel C (since 2019).

### Education/Academic qualification

Physics, Doctorate, University of Chicago

Physics, Degree, Yonsei University

### External positions

Postdoctoral Visitor, National Centre for Atmospheric Research

Assistant Research Scientist, University of California, San Diego

Postdoctoral Fellow, University of California, San Diego

Postdoctoral Research Fellow, University of Exeter

Postdoctoral Research Fellow, University of Leeds

Associate Professor, University of Sheffield

Lecturer/Senior Lecturer, University of Sheffield

### Keywords

- QC Physics
- Magnetohydrodynamics (MHD)
- Non-equilibrium statistical mechanics
- Fluid dynamics
- Plasma physics
- Turbulence
- Self-organisation
- Magnetic fusion
- Dynamo Theory
- Shear flow physics
- Cardiac dynamics
- Homeostasis in biosystems
- QB Astronomy
- Solar interior dynamics
- Solar tachocline
- Transport
- Solar/stellar rotation and magnetic fields
- Stellar evolution
- Statistical analysis of flares

## Fingerprint Dive into the research topics where Eun-jin Kim is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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## Research Output 1995 2019

### Comparing Information Metrics for a Coupled Ornstein–Uhlenbeck Process

Heseltine, J. & Kim, E., 8 Aug 2019, In : Entropy. 21, 8, 16 p., 775.Research output: Contribution to journal › Article

### Information geometry in a reduced model of self-organised shear flows without the uniform coloured noise approximation

Kim, E. J., Jacquet, Q. & Hollerbach, R., 20 Feb 2019, In : Journal of Statistical Mechanics: Theory and Experiment. 2019, 2, 023204.Research output: Contribution to journal › Article

### Information Geometry of Spatially Periodic Stochastic Systems

Hollerbach, R. & Kim, E., 12 Jul 2019, In : Entropy. 21, 7, 12 p., 681.Research output: Contribution to journal › Article

### Information length as a new diagnostic in the periodically modulated double-well model of stochastic resonance

Hollerbach, R., Kim, E. J. & Mahi, Y., 1 Jul 2019, In : Physica A: Statistical Mechanics and its Applications. 525, p. 1313-1322 10 p.Research output: Contribution to journal › Article

### Information length as a new diagnostic of stochastic resonance

Kim, E. & Hollerbach, R., 17 Nov 2019,*Proceedings of 5th International Electronic Conference on Entropy and Its Applications.*MDPI AG, Vol. 5. 8 p. (Sciforum Electronic Conference Series; vol. 5).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding

## Activities 2017 2019

### Variability, information length and preliminary application to a general circulation model

Eun-jin Kim (Invited speaker)Activity: Talk or presentation › Invited talk

### Complexity and information length

Eun-jin Kim (Speaker)Activity: Talk or presentation › Invited talk

### Center for Astrophysics | Harvard-Smithsonian

Eun-jin Kim (Visiting researcher)Activity: Visiting an external institution › Visiting an external academic institution

### Variability and information length

Eun-jin Kim (Invited speaker)Activity: Talk or presentation › Invited talk

### Turbulence statistical analysis – time-dependent probability density function and information length

Eun-jin Kim (Invited speaker)Activity: Talk or presentation › Invited talk

## Prizes

## Variability and Self- Organisation in Stellar Evolution

Eun-jin Kim (Recipient), 23 Mar 2018

Prize: Fellowship awarded competitively