科言猫
学术研究的AI总结
首页
文献互助
订阅
我的收藏
科研工具
选题分析
论文总结
专利管理
未登录
返回
J
Jenia Jitsev
jülich supercomputing centre
14
H指数
84
论文数
2.5K
被引数
0
相关解读
订阅
收录论文
7
发表时间
发表时间
IF
被引数
Scalable heliostat surface predictions from focal spots: Sim-to-Real transfer of inverse Deep Learning Raytracing
基于焦斑的规模化定日镜表面预测:逆向深度学习光线追踪的仿真到真实迁移
Solar Energy
IF
6.6
2025-07-12
0
OA
AI
Jan Lewen; Max Pargmann; Mehdi Cherti; Jenia Jitsev; Robert Pitz-Paal; Daniel Maldonado Quinto
分享
收藏
Inverse Deep Learning Raytracing for heliostat surface prediction
用于定日镜表面预测的逆深度学习光线跟踪
SOLAR ENERGY
IF
6.6
2025-03-01
0
OA
AI
Lewen, Jan; Pargmann, Max; Cherti, Mehdi; Jitsev, Jenia; Pitz-Paal, Robert; Quinto, Daniel Maldonado
分享
收藏
Flux density distribution forecasting in concentrated solar tower plants: A data-driven approach
SOLAR ENERGY
IF
6.6
2024-11-01
1
OA
AI
Kuhl, Mathias; Pargmann, Max; Cherti, Mehdi; Jitsev, Jenia; Quinto, Daniel Maldonado; Pitz-Paal, Robert
分享
收藏
In-situ UNet-based heliostat beam characterization method for precise flux calculation using the camera-target method
SOLAR ENERGY
IF
6.6
2024-09-01
1
OA
AI
Kuhl, Mathias; Pargmann, Max; Cherti, Mehdi; Jitsev, Jenia; Quinto, Daniel Maldonado; Pitz-Paal, Robert
分享
收藏
Deep learning for the automation of particle analysis in catalyst layers for polymer electrolyte fuel cells
用于聚合物电解质燃料电池催化剂层中颗粒分析自动化的深度学习
NANOSCALE
IF
5.1
2022-01-01
15
OA
AI
Colliard-Granero, Andre; Batool, Mariah; Jankovic, Jasna; Jitsev, Jenia; Eikerling, Michael H.; Malek, Kourosh; Eslamibidgoli, Mohammad J.
分享
收藏
Adversarial domain adaptation to reduce sample bias of a high energy physics event classifier
MACHINE LEARNING-SCIENCE AND TECHNOLOGY
IF
4.6
2021-12-27
10
OA
AI
Clavijo, J. M.; Glaysher, P.; Jitsev, J.; Katzy, J. M.
分享
收藏
Divertor power load predictions based on machine learning
NUCLEAR FUSION
IF
4
2021-03-15
1
PRE
AI
Brenzke, M.; Wiesen, S.; Bernert, M.; Coster, D.; Jitsev, J.; Liang, Y.; von Toussaint, U.
分享
收藏
研究方向
暂时未获取到该数据
合作学者
合作期刊
P
P. C. F. Glaysher
H 指数: 120 · 论文数: 973
J
J. Katzy
H 指数: 59 · 论文数: 662
Y
Y. Liang
H 指数: 56 · 论文数: 542
M
Michael Eikerling
H 指数: 52 · 论文数: 335
D
D. Coster
H 指数: 49 · 论文数: 613
查看更多