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| Home > Publications database > Virtual Experiments combined with Machine Learning to improve Data Evaluation of SANS measurements > print |
| 001 | 910115 | ||
| 005 | 20240529111744.0 | ||
| 037 | _ | _ | |a FZJ-2022-03623 |
| 100 | 1 | _ | |a Robledo, Jose Ignacio |0 P:(DE-Juel1)195622 |b 0 |u fzj |
| 111 | 2 | _ | |a JCNS WORKSHOP 2022 TRENDS AND PERSPECTIVES IN NEUTRON SCATTERING: EXPERIMENTS AND DATA ANALYSIS IN THE DIGITAL AGE |c Evangelische Akademie Tutzing |d 2022-10-11 - 2022-10-14 |w Germany |
| 245 | _ | _ | |a Virtual Experiments combined with Machine Learning to improve Data Evaluation of SANS measurements |
| 260 | _ | _ | |c 2022 |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
| 336 | 7 | _ | |a conferenceObject |2 DRIVER |
| 336 | 7 | _ | |a CONFERENCE_POSTER |2 ORCID |
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| 520 | _ | _ | |a In this work we present our research line that has begun as part of the “Global Neutron Scientist” (GneuS) call N.º 1 this year. We present our strategy to combine virtual experiments with Machine Learning (ML) techniques to improve the data evaluation procedure in Small Angle Neutron Scattering (SANS) experiments. In particular, we describe the virtual experiments we are planning to do at a SANS instrument at MLZ with the VITESS software [1] to create a training database for ML algorithms, and we discuss aproposed first step exploratory analysis to the generated data using Multivariate Statistical methodologies. This analysis will give insight to the adequate ML algorithms that we will explore. [1] C. Zendler, K. Lieutenant, D. Nekrassov, M. Fromme, Vitess 3 – Virtual Instrumentation Tool for the European Spallation, J. Phys. Conf. Ser. 528 (2014) 012036. |
| 536 | _ | _ | |a 632 - Materials – Quantum, Complex and Functional Materials (POF4-632) |0 G:(DE-HGF)POF4-632 |c POF4-632 |f POF IV |x 0 |
| 536 | _ | _ | |a 6G4 - Jülich Centre for Neutron Research (JCNS) (FZJ) (POF4-6G4) |0 G:(DE-HGF)POF4-6G4 |c POF4-6G4 |f POF IV |x 1 |
| 700 | 1 | _ | |a Lieutenant, Klaus |0 P:(DE-Juel1)178839 |b 1 |u fzj |
| 909 | C | O | |o oai:juser.fz-juelich.de:910115 |p VDB |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)195622 |
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| 913 | 1 | _ | |a DE-HGF |b Forschungsbereich Materie |l From Matter to Materials and Life |1 G:(DE-HGF)POF4-630 |0 G:(DE-HGF)POF4-632 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-600 |4 G:(DE-HGF)POF |v Materials – Quantum, Complex and Functional Materials |x 0 |
| 913 | 1 | _ | |a DE-HGF |b Forschungsbereich Materie |l Großgeräte: Materie |1 G:(DE-HGF)POF4-6G0 |0 G:(DE-HGF)POF4-6G4 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-600 |4 G:(DE-HGF)POF |v Jülich Centre for Neutron Research (JCNS) (FZJ) |x 1 |
| 914 | 1 | _ | |y 2022 |
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| 980 | _ | _ | |a poster |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-Juel1)JCNS-2-20110106 |
| 980 | _ | _ | |a I:(DE-Juel1)PGI-4-20110106 |
| 980 | _ | _ | |a I:(DE-82)080009_20140620 |
| 980 | _ | _ | |a UNRESTRICTED |
| 981 | _ | _ | |a I:(DE-Juel1)JCNS-2-20110106 |
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