Projects per year
Description
This work has been published in Paris SNA + MC 2024 Joint International Conference on Supercomputing in Nuclear Applications + Monte Carlo.
The folder contains:
1- Monte Carlo simulation results
2- Excel files contain the extracted data from the results files
3- figures
4- reference articles
The work used machine learning applications, so the folder contains training data and prediction data with their .m files
The folder contains:
1- Monte Carlo simulation results
2- Excel files contain the extracted data from the results files
3- figures
4- reference articles
The work used machine learning applications, so the folder contains training data and prediction data with their .m files
| Date made available | 2024 |
|---|---|
| Publisher | Lancaster University |
Access Dataset
- SNA_MCA_Saed_Alrawash_ppt_081.pptx
File: application/octet-stream, 19.3 MB
Type: Dataset
Licence: CC BY
- SNA24_SR_V2_1.docx
File: application/vnd.openxmlformats-officedocument.wordprocessingml.document, 326 KB
Type: Dataset
Licence: CC BY
- SNA24_SR_V2_MJJ.docx
File: application/vnd.openxmlformats-officedocument.wordprocessingml.document, 165 KB
Type: Dataset
Licence: CC BY
- SNA24_SR_V2.docx
File: application/vnd.openxmlformats-officedocument.wordprocessingml.document, 154 KB
Type: Dataset
Licence: CC BY
- sna24_woc_template_word_1col.docx
File: application/vnd.openxmlformats-officedocument.wordprocessingml.document, 153 KB
Type: Dataset
Licence: CC BY
- 04photon_neutron.xlsx
File: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, 435 KB
Type: Dataset
Licence: CC BY
- MC_simu.xlsx
File: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, 47.5 KB
Type: Dataset
Licence: CC BY
- Missing_table_T.xlsx
File: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, 15 KB
Type: Dataset
Licence: CC BY
- New_Microsoft_Excel_Worksheet.xlsx
File: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, 6.02 KB
Type: Dataset
Licence: CC BY
- predictionFull2.xlsx
File: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, 30.2 KB
Type: Dataset
Licence: CC BY
- prediction_missing.xlsx
File: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, 26.9 KB
Type: Dataset
Licence: CC BY
- prediction_missing_optimizable.xlsx
File: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, 5.21 KB
Type: Dataset
Licence: CC BY
- Shielding_neutrons.xlsx
File: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, 26.3 KB
Type: Dataset
Licence: CC BY
- sums_with_file_numbers.xlsx
File: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, 70.7 KB
Type: Dataset
Licence: CC BY
- testenergy.xlsx
File: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, 8.27 KB
Type: Dataset
Licence: CC BY
- Training_MissingData.xlsx
File: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, 63.7 KB
Type: Dataset
Licence: CC BY
- CoriumThickness_Gaussian_Process_Regression_Rational_Quadratic_GPR.png
File: image/png, 59 KB
Type: Dataset
Licence: CC BY
- MC_simu.xlsx
File: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, 29 KB
Type: Dataset
Licence: CC BY
- sna_modified_word.docx
File: application/vnd.openxmlformats-officedocument.wordprocessingml.document, 253 KB
Type: Dataset
Licence: CC BY
- 1_Development_of_Detailed_Investigation_inside_PCV_IRID_2019.pdf
File: application/pdf, 1.95 MB
Type: Dataset
Licence: CC BY
- A_Deep_Learning_Approach_to_Anomaly_Detection_in_Nuclear_Reactors.pdf
File: application/pdf, 3.48 MB
Type: Dataset
Licence: CC BY
- Final_article_robot_radiation_tolerance_testing.pdf
File: application/pdf, 972 KB
Type: Dataset
Licence: CC BY
- High-Performance_Single-Crystal_Diamond_Detector_f.pdf
File: application/pdf, 3.11 MB
Type: Dataset
Licence: CC BY
- ideas_for_article.docx
File: application/vnd.openxmlformats-officedocument.wordprocessingml.document, 526 KB
Type: Dataset
Licence: CC BY
- Neural_Network_Approaches_for_Mobile_Spectroscopic.pdf
File: application/pdf, 394 KB
Type: Dataset
Licence: CC BY
- 04photon_neutron.xlsx
File: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, 435 KB
Type: Dataset
Licence: CC BY
Projects
-
Radiation Hardened Robotics for Remote Inspection
Joyce, M. (Co-Investigator) & Aspinall, M. (Principal Investigator)
Engineering and Physical Sciences Research Council
1/11/22 → 31/12/25
Project: Research
Cite this
- DataSetCite
Alrawash, S. (Creator), Joyce, M. (Creator), Zhang, Z. (Creator), Aspinall, M. (Creator) (2024). Simulation for Prediction of Fuel Debris Location in Fukushima Nuclear Power Plant using Machine Learning. Lancaster University. README(.txt), Matt_s_comments(.pdf), mopp016(.pdf), s41598-022-16235-x(.pdf), Saed_Alrawash_SNA24(.pdf), Saed_Alrawash_SNA24_ma_comments_1_(.pdf), Saed_IEEE_V1_4_(.pdf), SNA_MCA_Saed_Alrawash_ppt_081(.pptx), SNA24_SR_V2_1(.docx), SNA24_SR_V2_MJJ(.docx), SNA24_SR_V2(.docx), SNA24_SR_V2_AW(.pdf), SNA24_SR_V3(.pdf), SNA24_SR_V3_modified(.pdf), sna24_woc_template_word_1col(.docx), 04photon_neutron(.xlsx), MC_simu(.xlsx), Missing_table_T(.xlsx), New_Microsoft_Excel_Worksheet(.xlsx), predictionFull2(.xlsx), prediction_missing(.xlsx), prediction_missing_optimizable(.xlsx), Shielding_neutrons(.xlsx), sums_with_file_numbers(.xlsx), testenergy(.xlsx), Training_MissingData(.xlsx), CoriumThickness_Gaussian_Process_Regression_Rational_Quadratic_GPR(.png), high_True_predict(.bmp), high_True_predict(.jpg), jps_predict_true(.jpg), jps_predict_true_box_high(.jpg), optimiser_bayesian(.png), Optimizable_GPR(.png), Optimizable_response_plot(.png), predictions_Optimizable(.jpg), response_plot_box(.bmp), response_plot_box_high(.bmp), response_plot_modified(.bmp), response_plot_modified(.jpg), response_plot_v1(.jpg), summary_of_the_trained_model(.png), summary_optimizable(.png), True_Vs_Predicted_thickness(.jpg), True_Predicted_modifed(.jpg), True_Predicted_modifedbbmp(.bmp), True_Predicted_modifedbbmp(.jpg), MC_simu(.xlsx), NeutronSource_Modified(.zip), sm_neutron(.csv), sna_modified_word(.docx), u_neutron(.csv), 1-s2(n.pdf), 1-s2(n.pdf), 10(6.pdf), 1366712(.pdf), 1_Development_of_Detailed_Investigation_inside_PCV_IRID_2019(.pdf), 25868892(.pdf), 40307(.pdf), A_Deep_Learning_Approach_to_Anomaly_Detection_in_Nuclear_Reactors(.pdf), c2ja10230g(.pdf), FDR2019_1100(.pdf), Final_article_robot_radiation_tolerance_testing(.pdf), High-Performance_Single-Crystal_Diamond_Detector_f(.pdf), idea_for_(.txt), ideas_for_article(.docx), jne-02-00018(.pdf), Neural_Network_Approaches_for_Mobile_Spectroscopic(.pdf), proposal_outlines(.txt), s41597-020-00672-2(.pdf), predictions_Optimizable(.fig), RegressionLearnerSession1(.mat), response_plot(.fig), trainRegressionModel(.asv), trainRegressionModel(.m), true_predict_gpr(.fig), 00223131(2.pdf), 04photon_neutron(.xlsx), 1-s2(n.pdf), 1-s2(n.pdf), 1-s2(n.pdf), 1-s2(n.pdf), 1-s2(n.pdf), 1-s2(n.pdf), 1-s2(n.pdf), 1-s2(n.pdf), mkrun(.com), script(.sh), scriptformac(.sh), test3(.txt), beam(.cc), beam(.mac), cf252(.mac), CMakeLists(.txt), vis(.mac), beam, beam(.in), beam(.root), beamflux(.mac), CMakeCache(.txt), cmake_install(cmake), detector(.txt), Makefile, plotHisto(.C), test1, test2, test3, vis(.mac), beam(.cc), beam(.in), beamflux(.mac), CMakeLists(.txt), plotHisto(.C), vis(.mac), ActionInitialization(.hh), Analysis(.hh), DetectorConstruction(.hh), EventAction(.hh), GlobalVars(.hh), PrimaryGeneratorAction(.hh), RunAction(.hh), SteppingAction(.hh), ActionInitialization(.cc), DetectorConstruction(.cc), EventAction(.cc), PrimaryGeneratorAction(.cc), RunAction(.cc), SteppingAction(.cc), CMakeDirectoryInformation(cmake), CMakeError(.log), CMakeOutput(.log), Makefile(cmake), Makefile2, progress(marks), TargetDirectories(.txt), ActionInitialization(.hh), Analysis(.hh), DetectorConstruction(.hh), ElectromagneticPhysics(.hh), EventAction(.hh), GammaNuclearPhysics(.hh), GammaNuclearPhysicsLEND(.hh), HadronElasticPhysicsHP(.hh), PhysicsList(.hh), PrimaryGeneratorAction(.hh), RadioactiveDecayPhysics(.hh), RunAction(.hh), SteppingAction(.hh), ActionInitialization(.cc), DetectorConstruction(.cc), EventAction(.cc), PrimaryGeneratorAction(.cc), RunAction(.cc), SteppingAction(.cc), CMakeCXXCompiler(cmake), CMakeDetermineCompilerABI_C(.bin), CMakeDetermineCompilerABI_CXX(.bin), CMakeSystem(cmake), beam(.cc.o), beam(c.o.d), build(.make), cmake_clean(cmake), compiler_depend(ernal), compiler_depend(.make), compiler_depend(.ts), depend(.make), DependInfo(cmake), flags(.make), link(.txt), progress(.make), a(.out), CMakeCCompilerId(.c), a(.out), CMakeCXXCompilerId(.cpp), ActionInitialization(.cc.o), ActionInitialization(c.o.d), DetectorConstruction(.cc.o), DetectorConstruction(c.o.d), EventAction(.cc.o), EventAction(c.o.d), PrimaryGeneratorAction(.cc.o), PrimaryGeneratorAction(c.o.d), RunAction(.cc.o), RunAction(c.o.d), SteppingAction(.cc.o), SteppingAction(c.o.d), result(.zip). 10.17635/lancaster/researchdata/709