User profiles for Junu Kim
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Perovskite solar cells with atomically coherent interlayers on SnO2 electrodes
In perovskite solar cells, the interfaces between the perovskite and charge-transporting layers
contain high concentrations of defects (about 100 times that within the perovskite layer), …
contain high concentrations of defects (about 100 times that within the perovskite layer), …
Interface engineering driven stabilization of halide perovskites against moisture, heat, and light for optoelectronic applications
Moisture, heat, and light instabilities of halide perovskites (HPs) represent a serious Achilles'
heel that must be overcome, to enable future advancements in perovskite‐based …
heel that must be overcome, to enable future advancements in perovskite‐based …
Challenges, opportunities, and prospects in metal halide perovskites from theoretical and machine learning perspectives
Metal halide perovskite (MHP) is a promising next generation energy material for various
applications, such as solar cells, light emitting diodes, lasers, sensors, and transistors. MHPs …
applications, such as solar cells, light emitting diodes, lasers, sensors, and transistors. MHPs …
Efficient electron extraction of SnO2 electron transport layer for lead halide perovskite solar cell
SnO 2 electron transport layer (ETL) has been spotlighted with its excellent electron extraction
and stability over TiO 2 ETL for perovskite solar cells (PSCs), rapidly approaching the …
and stability over TiO 2 ETL for perovskite solar cells (PSCs), rapidly approaching the …
Machine learning of first-principles force-fields for alkane and polyene hydrocarbons
Machine learning (ML) interatomic potentials (ML-IAPs) are generated for alkane and
polyene hydrocarbons using on-the-fly adaptive sampling and a sparse Gaussian process …
polyene hydrocarbons using on-the-fly adaptive sampling and a sparse Gaussian process …
Genhpf: General healthcare predictive framework for multi-task multi-source learning
Despite the remarkable progress in the development of predictive models for healthcare,
applying these algorithms on a large scale has been challenging. Algorithms trained on a …
applying these algorithms on a large scale has been challenging. Algorithms trained on a …
A thermally stable, barium-stabilized α-CsPbI 3 perovskite for optoelectronic devices
The all-inorganic perovskite CsPbI3 has emerged as an alternative photovoltaic material to
organic–inorganic hybrid perovskites due to its non-volatile composition and comparable …
organic–inorganic hybrid perovskites due to its non-volatile composition and comparable …
Unfolding the Influence of Metal Doping on Properties of CsPbI3 Perovskite
Low‐temperature α‐phase stabilization using HI or zwitterions in cesium lead iodide (CsPbI
3 ) endures the metastable phase properties but is thermally unstable. Doping with a small …
3 ) endures the metastable phase properties but is thermally unstable. Doping with a small …
Modulation of the optical bandgap and photoluminescence quantum yield in pnictogen (Sb3+/Bi3+)-doped organic–inorganic tin (IV) perovskite single crystals and …
Water-stable, lead-free zero-dimensional (0D) organic–inorganic hybrid colloidal tin(IV)
perovskite, A 2 SnX 6 (A is a monocationic organic ion and X is a halide) nanocrystals (NCs) …
perovskite, A 2 SnX 6 (A is a monocationic organic ion and X is a halide) nanocrystals (NCs) …
Hybrid Modeling of an Active Pharmaceutical Ingredient Flow Synthesis in a Ring-Opening Reaction of an Epoxide with a Grignard Reagent
This work presents hybrid modeling of an active pharmaceutical ingredient flow synthesis in
a ring-opening reaction of an epoxide with a Grignard reagent. Conducting this reaction in a …
a ring-opening reaction of an epoxide with a Grignard reagent. Conducting this reaction in a …