Annop Ektarawong

Chulalongkorn University — Thailand

Materials Science · Physical Sciences

15h-index727citations79works3.72yr avg
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Research Topics

Boron and Carbon Nanomaterials Research(30), MXene and MAX Phase Materials(16), Graphene research and applications(14), Diamond and Carbon-based Materials Research(13), 2D Materials and Applications(11)

Publications79 total

First-principles investigation of spin-dependent thermoelectric transport and spin Seebeck in Fe(110)/Co($$11\bar{2}0$$) heterostructures
Scientific Reports·2026Open Access
Bridging the Gap in Understanding the Mechanism of NH <sub>3</sub> Formation During NO Reduction by CO in the Presence of H <sub>2</sub> O Over Rh/Al <sub>2</sub> O <sub>3</sub> Catalysts: DFT Study
Advanced Theory and Simulations·2026Open Access
Thermodynamic Consideration and Mechanical Behavior of Boride‐Containing Solid Solutions of Hafnium−Yttrium−Boron System Revealed by a First‐Principles Analysis
Advanced Theory and Simulations·2025
Machine learning-accelerated density functional theory optimization of PtPd-based high-entropy alloys for hydrogen evolution catalysis
International Journal of Minerals Metallurgy and Materials·2025· 2 cited
Effect of titanium alloying and boron vacancies on thermodynamic stability and mechanical properties of tantalum diboride
Physica Scripta·2025
Computational study of nontoxic Cs2PtI₆ double perovskite as a lead-free photovoltaic absorber
Next Materials·2025Open Access
Roles of sulfur and nitrogen dopants in tuning cobalt phosphide catalysts for hydrogen evolution reaction
International Journal of Hydrogen Energy·2025· 1 cited
Theoretical investigation on the role of external oxygen facilitating oxidative dehydrogenation of hydrogen sulfide on Fe-based oxide catalysts
Fuel·2025· 1 cited
First‐Principles Screening of 3d‐Transition‐Metal‐Doped Hydrous Cobalt Phosphate Catalysts for Enhanced Oxygen Evolution Reaction
Advanced Theory and Simulations·2025· 1 cited
AA Stacking Phase of Diamane-like Carbon Nitrides: A First Principle Study and Its Thermal Conductivity
ACS Omega·2025· 1 citedOpen Access
Differences in the electronic and optical properties between hexagonal boron nitride monolayer and carbon-doped hexagonal boron nitride monolayer: a DFT study
2025· 1 cited
SVM machine learning model for bandgap estimation of doped TiO2 for numerical modelling of perovskite solar cell applications
2025
Insight into phase stability and mechanical behavior of HfB2 and HfB12 under high pressures and high temperatures: A first<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si538.svg" display="inline" id="d1e2969"><mml:mo>−</mml:mo></mml:math>principles investigation
Computational Materials Science·2025· 3 cited
CrystalGRW: Generative Modeling of Crystal Structures with Targeted Properties via Geodesic Random Walks
arXiv (Cornell University)·2025· 3 citedOpen Access
First-Principles Study of Amorphous Hafnium Dodecaboride
Journal of Physics Conference Series·2025Open Access
Theoretical investigation of cycling stability in TiS<sub>2</sub> anode for zinc-ion rechargeable batteries
Journal of Physics Materials·2024· 2 citedOpen Access
Machine-learning-accelerated density functional theory screening of Cu-based high-entropy alloys for carbon dioxide reduction to ethylene
Applied Surface Science·2024· 13 cited
First-principles analysis of improved thermodynamic stability and mechanical properties in pseudo-binary Y<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si117.svg" display="inline" id="d1e1074"><mml:msub><mml:mrow/><mml:mrow><mml:mn>1</mml:mn><mml:mo>−</mml:mo><mml:mi>x</mml:mi></mml:mrow></mml:msub></mml:math>V<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si118.svg" display="inline" id="d1e1086"><mml:msub><mml:mrow/><mml:mrow><mml:mi>x</mml:mi></mml:mrow></mml:msub></mml:math>B2 alloys
Computational Materials Science·2024· 4 cited
Role of Al Vacancies in Thermodynamic Stability and Elastic Properties of AlB2${\rm AlB}_{2}$‐type (Ta,Al)B2${\rm B}_{2}$: A First‐Principles Study
Advanced Theory and Simulations·2024· 2 cited
Thermodynamic Stability Prediction of Triple Transition‐Metal (Ti−Mo−V)3C2${\rm (Ti-Mo-V)}_3{\rm C}_2$ MXenes via Cluster Correlation‐Based Machine Learning
Advanced Theory and Simulations·2024· 1 cited
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Frequent Co-authors

Björn Alling(41), Thiti Bovornratanaraks(15), Meena Rittiruam(12), Tinnakorn Saelee(12), Supareak Praserthdam(12), Piyasan Praserthdam(12), Patcharaporn Khajondetchairit(11), S. I. Simak(9), Teerachote Pakornchote(7), Chayanon Atthapak(7), Udomsilp Pinsook(5), Erik Johansson(5), Jakapob Noppakhun(4), Pisit Khamloet(4), Teerachote Pakornchote(4), Lars Hultman(3), Jens Birch(3), Nuttanon Aumnongpho(3), Suphawich Boonchuay(3), Soorathep Kheawhom(3)