output
19982026
most citedMemory Metamaterials

862 citations

Showing 2021Show all

25 papers · 1 filter

nucl-th2021★ 2 cited

A study of the elastic scattering at finite baryon density

Hyeon-dong Han, Parada T. P. Hutauruk, Seung-il Nam

We investigate the elastic scattering for the channel dominated by the resonance at finite baryon density for the symmetric nuclear matter, employing t…

cond-mat.mtrl-sci2021★ 2 cited

Observation of the superconducting proximity effect from surface states in SmB/YB thin film heterostructures via terahertz spectroscopy

Jonathan Stensberg, Xingyue Han, Seunghun Lee +5

The AC conduction of epitaxially-grown SmB thin films and superconducting heterostructures of SmB/YB are investigated via time domain terahertz spectroscopy. A two-chan…

hep-ph2021★ 15 cited

Gluon and valence quark distributions for the pion and kaon in nuclear matter

Parada T. P. Hutauruk, Seung-il Nam

In this paper we study the gluon and valence quark distributions in the pion and kaon in nuclear medium for various nuclear densities as well as in vacuum within the Nambu--Jona-La…

cond-mat.mes-hall2021★ 11 cited

A strain-engineered graphene qubit in a nanobubble

Nojoon Myoung, JungYun Han, Hee Chul Park

We propose a controllable qubit in a graphene nanobubble with emergent two-level systems induced by pseudo-magnetic fields. We found that double quantum dots can be created by the…

eess.IV2021★ 39 cited

AnoSeg: Anomaly Segmentation Network Using Self-Supervised Learning

Jouwon Song, Kyeongbo Kong, Ye-In Park +2

Anomaly segmentation, which localizes defective areas, is an important component in large-scale industrial manufacturing. However, most recent researches have focused on anomaly de…

cs.LG2021★ 11 cited

Deep Learning Based Resource Assignment for Wireless Networks

Minseok Kim, Hoon Lee, Hongju Lee +1

This paper studies a deep learning approach for binary assignment problems in wireless networks, which identifies binary variables for permutation matrices. This poses challenges i…