Contact: annop.ektarawong [AT] gmail.com Mahamakut: Room 504

Annop
Ektarawong

Research topics:
Material simulation

About me:
My research focuses on theoretical investigation of alloying behavior of various 3D and 2D solid solutions and its effect on their intrinsic properties for use in different technological applications by implementing first-principles calculations, based particularly on density functional theory and alloy theory.

Educations & Past employments:

  • Faculty member, Department of Physics, Chulalongkorn University, Thailand (2019-Present).

  • Postdoctoral researcher, Theoretical Physics Division, Linköping University, Sweden (2017-2019).

  • Ph.D., Thin film Physics Division, Linköping University, Sweden (2013-2017).

Teaching

  • General Physics

  • General Physics Laboratory

  • Introduction to Density functional Theory

  • Introduction to Phase tranformations in Metals and Alloys

Selected publications:

  • K. Mopoung, A. Ektarawong*, T. Bovornratanaraks, and B. Alling, First-principles demonstration of band filling-induced significant improvement in thermodynamic stability and Sc1-xTaxB2 solid solutions, Scientific Reports 13, 10504 (2023). Link

  • T. Saelee, S. Boonchuay, A. Sriwattana, M. Rittiruam, P. Khajondetchairit, S. Praserthdam*, A. Ektarawong*, B. Alling, and P. Praserthdam, On the enhanced performance of Pt-based high-entropy alloys catalyst during water-gas shift reaction: A density functional theory study, Applied Surface Science 623, 157023 (2023). Link

  • A. Ektarawong*, E. Johansson, T. Pakornchote, T. Bovornratanaraks, and B. Alling, Boron vacancy-driven thermodynamic stabilization and improved mechanical properties of AlB2-type tantalum diborides as revealed by first-principles calculations, Journal of Physics: Materials 6, 025002 (2023). Link

  • M. Rittiruam, S. Setasuban, J. Noppakhun, T. Saelee, A. Ektarawong, N. Aumnongpho, S. Boonchuay, P. Khajondetchairit, S. Praserthdam*, B. Alling, and P. Praserthdam, First-principles density functional theory and machine learning technique for the prediction of water adsorption site on PtPd-based high-entropy-alloy catalysts, Advanced Theory and Simulations 6, 2200926 (2023). Link