Joonchul Kim
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View article: Interpretable machine learning boosting the discovery of targeted organometallic compounds with optimal bandgap
Interpretable machine learning boosting the discovery of targeted organometallic compounds with optimal bandgap Open
Organometallic compounds (OMCs) have attracted tremendous attention in various fields, such as photovoltaic cell and high-k dielectric application, due to their beneficial properties. Despite their potential, the progression of OMCs into i…
View article: Toward fast and accurate machine learning interatomic potentials for atomic layer deposition precursors
Toward fast and accurate machine learning interatomic potentials for atomic layer deposition precursors Open
Under thin film deposition, when used in conjunction with the semiconductor atomic layer deposition (ALD) method, the choice of precursor determines the properties and quality of the thin film. Organometallic precursors such as alkaline ea…
View article: Correlating atomistic characteristics of zeolites to their 3D-Printed Macro structural properties for prediction of mechanical response
Correlating atomistic characteristics of zeolites to their 3D-Printed Macro structural properties for prediction of mechanical response Open
A wide range of mechanical properties are vital in structures, from macro (e.g., load-bearing) down to atomistic (nanomaterial) level. To design structures with the target mechanical properties, it is crucial to understand the correlation …
View article: Predicting mechanical properties of newly generated two-dimensional materials with minimum uncertainty
Predicting mechanical properties of newly generated two-dimensional materials with minimum uncertainty Open
Two-dimensional (2D) materials exhibit exceptional properties. Thus, many studies have been conducted to discover novel 2D materials with unique characteristics or to find new ways of utilizing existing 2D materials. However, the existing …
View article: Impact of Data Partitioning to Improve Prediction Accuracy for Remaining Useful Life of Li-Ion Batteries
Impact of Data Partitioning to Improve Prediction Accuracy for Remaining Useful Life of Li-Ion Batteries Open
Predicting the remaining useful life (RUL) of a battery is critical to ensure the safe management of its manufacture and operation. In this study, a comprehensive investigation of the effect of data partitioning methods on RUL prediction w…
View article: Analysis of Coupling Between Digital Noise and Portable Smart Terminal Antenna According to Antenna Types
Analysis of Coupling Between Digital Noise and Portable Smart Terminal Antenna According to Antenna Types Open
View article: Analysis of Improvement Method of Isolation Between Digital Noise and the Mobile Handset Antenna Title
Analysis of Improvement Method of Isolation Between Digital Noise and the Mobile Handset Antenna Title Open