Suyeon Ju - Concepedia

Author

Suyeon Ju

Seoul National University ORCID

Also Known As

Ju, Suyeon, Suyeon Ju

Publications

305

Citations

H-Index

Concepts

All Affiliations

Seoul National University Korea Institute for Advanced Study Incheon National University Ministry of Science and ICT

About

Suyeon Ju is an author at Seoul National University specializing in electrochemistry, chemistry, and engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	2	2	28
2	Chemical Engineering	2	2	28
3	Chemistry	2	2	28
4	Natural Sciences	1	1	12
5	Materials Science	1	1	16

Suyeon Ju

Publications

301

Citations

H-Index

Page 1

	Year	Citations
Adatom Doping of Transition Metals in ReSe<sub>2</sub> Nanosheets for Enhanced Electrocatalytic Hydrogen Evolution Reaction Ik Seon Kwon, In Hye Kwak, Suyeon Ju, ACS Nano	2020	106
Reconfigurable Manipulation of Oxygen Content on Metal Oxide Surfaces and Applications to Gas Sensing Gyuweon Jung, Suyeon Ju, Kangwook Choi, ACS Nano	2023	68
Training machine-learning potentials for crystal structure prediction using disordered structures Chang‐Ho Hong, Jeong Min Choi, Wonseok Jeong, Physical review. B./Physical review. B	2020	35
Disorder-Dependent Li Diffusion in Li<sub>6</sub>PS<sub>5</sub>Cl Investigated by Machine-Learning Potential Jiho Lee, Suyeon Ju, Seungwoo Hwang, ACS Applied Materials & Interfaces	2024	24
Electrochemical Degradation of Pt<sub>3</sub>Co Nanoparticles Investigated by Off-Lattice Kinetic Monte Carlo Simulations with Machine-Learned Potentials Jisu Jung, Suyeon Ju, Purun-hanul Kim, ACS Catalysis Machine-learned PotentialsEngineeringLogical ResolutionNanoheterogeneous CatalysisNanocatalysis	2023	16
In‐Memory‐Computed Low‐Frequency Noise Spectroscopy for Selective Gas Detection Using a Reducible Metal Oxide Wonjun Shin, Jaehyeon Kim, Gyuweon Jung, Advanced Science	2023	15
Application of pretrained universal machine-learning interatomic potential for physicochemical simulation of liquid electrolytes in Li-ion batteries Suyeon Ju, Jinmu You, Gijin Kim, Digital Discovery	2025	13
Computational Identification of Transition-Metal Dichalcogenides for Electrochemical CO<sub>2</sub> Reduction to Highly Reduced Species Beyond CO and HCOOH Sungwoo Kang, Suyeon Ju, Seungwu Han, The Journal of Physical Chemistry C Transition Metal ChalcogenidesChemical EngineeringEngineeringPractical Co2 ReductionNatural Sciences	2020	12
Applications and training sets of machine learning potentials Chang‐Ho Hong, Jaehoon Kim, Jaesun Kim, Science and Technology of Advanced Materials Methods	2023	12

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