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001 | 911088 | ||
005 | 20240610121343.0 | ||
024 | 7 | _ | |a 10.1088/2632-2153/ac579b |2 doi |
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037 | _ | _ | |a FZJ-2022-04414 |
082 | _ | _ | |a 621.3 |
100 | 1 | _ | |a Kaspschak, Bastian |0 0000-0003-4224-2932 |b 0 |e Corresponding author |
245 | _ | _ | |a Three-body renormalization group limit cycles based on unsupervised feature learning |
260 | _ | _ | |a Bristol |c 2022 |b IOP Publishing |
336 | 7 | _ | |a article |2 DRIVER |
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536 | _ | _ | |a DFG project 196253076 - TRR 110: Symmetrien und Strukturbildung in der Quantenchromodynamik (196253076) |0 G:(GEPRIS)196253076 |c 196253076 |x 1 |
588 | _ | _ | |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de |
700 | 1 | _ | |a Meißner, Ulf-G |0 P:(DE-Juel1)131252 |b 1 |
773 | _ | _ | |a 10.1088/2632-2153/ac579b |g Vol. 3, no. 2, p. 025003 - |0 PERI:(DE-600)3017004-7 |n 2 |p 025003 - |t Machine learning: science and technology |v 3 |y 2022 |x 2632-2153 |
856 | 4 | _ | |u https://juser.fz-juelich.de/record/911088/files/Kaspschak_2022_Mach._Learn.%20_Sci._Technol._3_025003.pdf |y OpenAccess |
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914 | 1 | _ | |y 2022 |
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