A5059713759- Advancements in Battery Materials
- Advanced Battery Technologies Research
- Advanced Battery Materials and Technologies
- Machine Learning in Materials Science
- Electronic and Structural Properties of Oxides
- Electron and X-Ray Spectroscopy Techniques
- Electrocatalysts for Energy Conversion
- Advancements in Solid Oxide Fuel Cells
- Fuel Cells and Related Materials
- Graphene research and applications
- Advanced battery technologies research
- nanoparticles nucleation surface interactions
- Advanced Thermoelectric Materials and Devices
- Supercapacitor Materials and Fabrication
- Thermal Expansion and Ionic Conductivity
- Magnesium Alloys: Properties and Applications
- Material Dynamics and Properties
- 2D Materials and Applications
- Extraction and Separation Processes
- Integrated Circuits and Semiconductor Failure Analysis
- Machine Learning and ELM
Korea Advanced Institute of Science and Technology
2020-2024
Government of the Republic of Korea
2021
Daejeon University
2021
Optimizing synthesis parameters is crucial in fabricating an ideal cathode material; however, the design space too vast to be fully explored using Edisonian approach. Here, by clustering eleven domain-expert-derived-descriptors from literature, we use inverse surrogate model build up experimental parameters-property relationship. Without struggling with trial-and-error method, enables variables prediction that serves as effective strategy for retrosynthesis. More importantly, not only did...
Multiscale and multimodal imaging of material structures properties provides solid ground on which materials theory design can flourish. Recently, KAIST announced 10 flagship research fields, include Materials Revolution: Molecular Modeling, Imaging, Informatics Integration (M3I3). The M3I3 initiative aims to reduce the time for discovery, development based elucidating multiscale processing–structure–property relationship hierarchy, are be quantified understood through a combination machine...
Ice, one of the most enigmatic materials on Earth, exhibits diverse polymorphism, with research mainly focusing commonly observed phases: hexagonal ice (Ih), cubic (Ic), and stacking-disordered (Isd). While their formation or structural changes are crucial for advancements in cloud science, climate modeling, cryogenic technology, molecular mechanisms driving these phenomena remain unexplored. Herein, utilizing transmission electron microscopy, we investigate at two different temperatures,...
Co<sub>3</sub>O<sub>4</sub> nanograins-interconnected secondary particle (Co<sub>3</sub>O<sub>4</sub> NISP) is proposed as lithium-ion battery anode material that can offer high volumetric capacity by less formation of insulating CoO during lithiation process.
As semiconductor scaling continues to reach sub-nanometer levels, two-dimensional (2D) semiconductors are emerging as a promising candidate for the post-silicon material. Among these alternatives, Bi2O2Se has risen an exceptionally 2D thanks its excellent electrical properties, attributed appropriate bandgap and small effective mass. However, unlike other materials, growth of large-scale films with precise layer control is still challenging due large surface energy caused by relatively...
Reduced graphene oxide (rGO)-based micro-supercapacitors (MSCs) have emerged as a new type of micro-energy storage device. However, the low volumetric energy density rGO hampers application MSCs in miniaturized devices. Hybridization pseudocapacitive materials with is potential approach to increase MSCs. Herein, densely packed hybrid film birnessite-type manganese (K-MnOx) supported by developed, and hybrid-film-based are found show high capacitance (490 F/cm3) that ∼ 1.2 19 times greater...
Here, we demonstrate the magnesiation mechanism of Sn nanoparticles by performing liquid-phase electron microscopy. We discover that sluggish Mg-ion diffusion into involves formation intermediate metastable phase besides an equilibrium Mg2Sn phase. The large stress likely from interface between and MgxSn leads to amorphous Mg2+xSn with Mg2+ overinsertion. Formation Mg(OH)2 on impedes insertion Sn, leading rapid capacity fading a Mg–Sn cell. study provides important insights reaction dynamics...
Binary metal sulfides have been explored as sodium storage materials owing to their high theoretical capacity and stable cyclability. Nevertheless, relative charge voltage relatively low practical make them less attractive an anode material. To resolve the problem, addition of alloying elements is considerable. Copper antimony sulfide investigated a representative case. In this study, we do not only perform electrochemical characterization on CuSbS2, but also investigate its nonequilibrium...
Abstract The surging demand for sustainable energy has spurred intensive research into electrochemical conversion devices such as fuel cells, water splitting, and metal‐air batteries. performance of oxygen electrocatalysts significantly impacts overall efficiency. Recently, spinel oxides (AB 2 O 4 ) have emerged promising candidates; however, the scarcity prior studies underscores need a thorough comprehensive exploration. This study presents computational framework that integrates machine...
The increasing demand for sustainable energy has prompted extensive investigations into electrochemical conversion devices such as fuel cells, water splitting systems, and metal-air batteries. efficiency of bifunctional oxygen electrodes plays a crucial role in overall performance. In recent times, spinel oxides (AB 2 O 4 ) have emerged promising candidates this purpose; however, the limited prior research emphasizes necessity thorough exhaustive exploration. This study introduces...
Issues related to explosions and energy density constraints are presented by lithium-ion batteries (LIBs) employing organic electrolytes. 1 The pursuit of overcoming these challenges has brought all-solid-state (ASSBs), representing the next generation batteries, prominence as a viable solution. interest been directed towards sulfide-based solid electrolytes (SEs), recognized crucial component in ASSBs due their elevated ionic conductivity. Nevertheless, encountered, encompassing hazardous...
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Lithium all-solid-state batteries (ASSBs) are a promising technology for achieving high energy density, long cycle life, and safe rechargeable battery systems. Among these, Li ASSBs using solid polymer electrolytes (SPEs) have gained attention owing to their processability, lightweight nature, flexibility, favorable electrode contacts. However, SPEs low ionic conductivity, Li+ transference number, lack mechanical strength, limiting cell performance. Therefore, the present study focuses on...
LiNixMnyCozO2 (NMC) is one of the most popular cathode materials for lithium-ion batteries. Li-rich NMC emerging as a potential candidate next-generation cathodes owing to its exceptional efficiency. The development high-performance requires demonstration structure–property relationships inherent in these complex, multicomponent systems. Herein, we construct map samples using convolutional neural networks (CNN). Our CNN models categorize crystal structure classification approach and predict...
Optimizing synthesis parameters is crucial in fabricating an ideal cathode material; however, the design space too vast to be fully explored using Edisonian approach. Here, by clustering eleven domain-expert-derived-descriptors from literature, we use inverse surrogate model build up experimental parameters-property relationship. Without struggling with trial-and-error method, enables variables prediction that serves as effective strategy for retrosynthesis. More importantly, not only did...
Machine intelligence-based optimizing synthesis parameters offers exciting opportunities in various domain of materials chemistry where large and comprehensive dataset are available. Aiming to construct a “design-to-device” pipeline for battery application with small discrepancy, we adapt machine learning model based on actual experimental data from curated literatures predict the discharge capacity Nickel-Manganese-Cobalt (NCM) cathode material. However, missing is an inherent problem...