E-LIB Suche - Ergebnisse für: Bradnam, S.

1

Application of VERDI detectors for ITER materials activatio..:

Savva, M.I. ; Bradnam, S.C. ; Vasilopoulou, T....
Fusion Engineering and Design. 191 (2023) - p. 113559 , 2023

2

Development of a new ground level cosmic ray neutron monito:

, In: 2023 IEEE Nuclear Science Symposium, Medical Imaging Conference and International Symposium on Room-Temperature Semiconductor Detectors (NSS MIC RTSD),

Croft, S. ; Alton, T. L. ; Binnersley, C. L.... - p. 1-1 , 2023

Link: https://doi.org/10.1109/..

3

Key technological aspects of recent DT operations at JET:

JET Contributors ; Villari, R ; Batistoni, P...
https://publikationen.bibliothek.kit.edu/1000163105. , 2023

Link: https://publikationen.bi..

4

Spectroscopic camera analysis of the roles of molecularly a..:

Karhunen J ; Holm A ; Aleiferis S...
info:eu-repo/semantics/altIdentifier/wos/WOS:000898660300004. , 2023

Link: https://hdl.handle.net/1..

5

Peripheral temperature gradient screening of high-Z impurit..:

Field A. R ; Casson F. J ; Fajardo D...
info:eu-repo/semantics/altIdentifier/wos/WOS:000899399500001. , 2023

Link: https://hdl.handle.net/1..

6

Testing a prediction model for the H-mode density pedestal ..:

Saarelma S ; Connor J. W ; Bilkova P...
info:eu-repo/semantics/altIdentifier/wos/WOS:000960722700001. , 2023

Link: https://hdl.handle.net/1..

7

Predictive JET current ramp-up modelling using QuaLiKiz-neu..:

Ho A ; Citrin J ; Challis C. D...
info:eu-repo/semantics/altIdentifier/wos/WOS:000970856500001. , 2023

Link: https://hdl.handle.net/1..

8

Performance Comparison of Machine Learning Disruption Predi..:

Aymerich E ; Cannas B ; Pisano F...
info:eu-repo/semantics/altIdentifier/wos/WOS:000933812000001. , 2023

Link: https://hdl.handle.net/1..

9

Comparing pedestal structure in JET-ILW H-mode plasmas with..:

Field A. R ; Chapman-Oplopoiou B ; Connor J. W...
info:eu-repo/semantics/altIdentifier/wos/WOS:000906337100007. , 2023

Link: https://hdl.handle.net/1..

10

A new novel-1-step shutdown dose rate method combining bene..:

Eade, T. ; Bradnam, S.C. ; Kanth, P.
Fusion Engineering and Design. 181 (2022) - p. 113213 , 2022

Link: https://doi.org/10.1016/..

11

Benchmarking of emergent radiation transport codes for fusi..:

Valentine, A. ; Berry, T. ; Bradnam, S...
Fusion Engineering and Design. 180 (2022) - p. 113197 , 2022

Link: https://doi.org/10.1016/..

12

Overview of JET results for optimising ITER operation:

Mailloux J ; Abid N ; Abraham K...
info:eu-repo/semantics/altIdentifier/wos/WOS:000829648300001. , 2022

Link: https://hdl.handle.net/2..

13

Disruption prediction with artificial intelligence techniqu..:

Vega J ; Murari A ; Dormido-Canto S...
volume:18. , 2022

Link: https://hdl.handle.net/1..

14

The role of ETG modes in JET-ILW pedestals with varying lev..:

Chapman-Oplopoiou B ; Hatch D. R ; Field A. R...
info:eu-repo/semantics/altIdentifier/wos/WOS:000813909400001. , 2022

Link: https://hdl.handle.net/1..

15

First-Principles Density Limit Scaling in Tokamaks Based on..:

Giacomin M ; Pau A ; Ricci P...
info:eu-repo/semantics/altIdentifier/wos/WOS:000806849800007. , 2022

Link: https://hdl.handle.net/1..