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Papers

Prediction of the Next Solar Rotation Synoptic Maps Using an Artificial Intelligence–based Surface Flux Transport Model

Authors: Hyun-Jin Jeong, Mingyu Jeon, Daeil Kim, Youngjae Kim, Ji-Hye Baek, Yong-Jae Moon, Seonghwan Choi

Journal: The Astrophysical Journal Supplement Series

Year: 2025

DOI: 10.3847/1538-4365/adc447



Patents

(국내특허등록) 연-X선 및 극자외선 파장 영역의 태양복사에너지 예측 시스템 및 그 방법

Patent No.: 제10-2931695호

Application No.: 제10-2024-0081838호

Filing Date: 2024-06-24

Registration Date: 2026-02-23

Patentee(s): 한국천문연구원, 경희대학교 산학협력단

Inventor(s): 김정헌, 윤준무, 박성홍, 안승우, 이강우, 최성환, 곽영실, 문용재

(미국특허출원) SOLAR IRRADIANCE PREDICTION SYSTEM AND METHOD FOR SOFT X-RAYS AND EUV WAVELENGTH RANGES

Applicant(s): 한국천문연구원

Filing date: 2025-06-17

Application No.: 19/240278

Inventor(s): 김정헌, 윤준무, 박성홍, 안승우, 이강우, 최성환, 곽영실, 문용재



Acknowledgement

We acknowledge support from the SpaceAI program (https://spaceai.kasi.re.kr), led by the Korea Astronomy and Space Science Institute (KASI) in partnership with Kyung Hee University (KHU), Korea Advanced Institute of Science & Technology (KAIST), and private-sector companies. SpaceAI provides a collaborative framework in which scientists, software engineers, industry experts as well as students/citizens all participate in as various project teams to solve multidisciplinary, community-wide questions in space science and technology with artificial intelligence.