activity
20192024
collaborators

5 papers

cond-mat.mtrl-sci2024

Crystal Structure-Based Multioutput Property Prediction of Lithium Manganese Nickel Oxide using EfficientNet-B0

Chee Sien Wong, Benediktus Madika, Jiwon Yeom +2

Here, we present an EfficientNet-B0-based model to directly predict multiple properties of lithium manganese nickel oxides (LMNO) using their crystal structure images. The model is…

physics.app-ph2023

Revisiting contrast mechanism of lateral piezoresponse force microscopy

Jaegyu Kim, Seongwoo Cho, Jiwon Yeom +2

Piezoresponse force microscopy (PFM) has been widely used for nanoscale analysis of piezoelectric properties and ferroelectric domains. Although PFM is useful because of its simple…

physics.app-ph2022

Switchable tribology of ferroelectrics

Seongwoo Cho, Iaroslav Gaponenko, Kumara Cordero-Edwards +9

Artificially induced asymmetric tribological properties of ferroelectrics offer an alternative route to visualize and control ferroelectric domains. Here, we observe the switchable…

cs.CV2022

3D Convolutional Neural Networks for Dendrite Segmentation Using Fine-Tuning and Hyperparameter Optimization

Jim James, Nathan Pruyne, Tiberiu Stan +6

Dendritic microstructures are ubiquitous in nature and are the primary solidification morphologies in metallic materials. Techniques such as x-ray computed tomography (XCT) have pr…

cond-mat.mtrl-sci2019

Nanoscale characterization of the impact of beverages on the enamel surface of human teeth

Panpan Li, Chungik Oh, Hongjun Kim +7

Here we quantitatively evaluate the early stages of mechanical and morphological changes of polished human enamel surfaces induced by soft drinks using atomic force microscopy. Wit…