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- Korea Astronomy and Space Science InstituteKR157 papers
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11 papers · 1 filter
Predicting Euler Characteristics and Constructing Topological Structure Using Machine Learning Techniques
Gyunghun Yu, Seong Min Park, Han Gyu Yoon +4
This study proposes a novel approach to extract topological properties, specifically the Euler characteristic, from input images using neural networks without relying on large pre-…
Network Edge Inference for Large Language Models: Principles, Techniques, and Opportunities
Zhixiong Chen, Bingjie Zhu, Jiangzhou Wang +3
Large language models (LLMs) have advanced rapidly, emerging as versatile tools across fields thanks to their exceptional language understanding, generation, and reasoning capabili…
Full-polarization millimeter wavelength variability of Sagittarius A* during the 2018 EHT campaign
Ezequiel Albentosa-Ruiz, Jasmin E. Washington, Nicola Marchili +272
Sagittarius A* (Srg A*), the supermassive black hole at the center of the Milky Way, provides a unique laboratory to study accretion dynamics and plasma processes near the event ho…
Band Renormalization in Monolayer MoS2 Induced by Multipole Screening
Woojoo Lee, Seungwoo Yoo, Marios Zacharias +2
Dielectric screening plays a crucial role in shaping the electronic structure of two-dimensional (2D) materials. In 2D semiconductors, screened Coulomb interactions arising from th…
Gender shapes the relationship between productivity and journal prestige in science
Vitor H. Ribeiro, Andre S. Sunahara, Golnaz Shahtahmassebi +2
Gender disparities in academia manifest and persist in various aspects of the scientific enterprise, yet their influence on the interplay between research productivity and journal…
Interpretable liquid crystal phase classification via two-by-two ordinal patterns
Leonardo G. J. M. Voltarelli, Natalia Osiecka-Drewniak, Marcin Piwowarczyk +4
Liquid crystal textures encode rich structural information, yet mapping these images to mesophase identity remains challenging because visually similar patterns can arise from dist…