output
20152026
most citedThe role of charge recombination to spin-triplet excitons in non-fullerene acceptor organic solar cells

455 citations

11 papers

physics.chem-ph2026

Electron-Informed Coarse-Graining Molecular Representation Learning for Real-World Molecular Physics

Gyoung S. Na, Chanyoung Park

Various representation learning methods for molecular structures have been devised to accelerate data-driven chemistry. However, the representation capabilities of existing methods…

cond-mat.mes-hall2025

Interface-engineered voltage-driven magnetic tunnel junctions with ultra-low-energy magnetization switching

Yu Zhang, Meng Xu, Bowei Zhou +9

Electric-field control of spin states offers a promising route to ultra-low-power, ultra-fast magnetization switching in spintronic devices such as magnetic tunnel junctions (MTJs)…

cond-mat.mtrl-sci2024★ 11 cited

Machine Learning Prediction Models for Solid Electrolytes based on Lattice Dynamics Properties

Jiyeon Kim, Donggeon Lee, Dongwoo Lee +3

Recently, machine-learning approaches have accelerated computational materials design and the search for advanced solid electrolytes. However, the predictors are currently limited…

physics.optics2022★ 102 cited

Indefinite and Bidirectional Near Infrared Nanocrystal Photoswitching

Changhwan Lee, Emma Z. Xu, Kevin W. C. Kwock +14

Materials whose luminescence can be switched by optical stimulation drive technologies ranging from superresolution imaging1-4, nanophotonics5, and optical data storage6-8, to targ…

cond-mat.mes-hall2022★ 10 cited

Ferroelectricity-driven phonon Berry curvature and non-linear phonon Hall transports

Jino Im, Choong H. Kim, Hosub Jin

Berry curvature (BC) governs topological phases of matter and generates anomalous transport. When a magnetic field is applied, phonons can acquire BC indirectly through spin-lattic…

cond-mat.mtrl-sci2022★ 55 cited

Revealing 3-dimensional core-shell interface structures at the single-atom level

Hyesung Jo, Dae Han Wi, Taegu Lee +12

Nanomaterials with core-shell architectures are prominent examples of strain-engineered materials, where material properties can be designed by fine-tuning the misfit strain at the…