{"id":71,"date":"2023-04-18T06:03:18","date_gmt":"2023-04-18T06:03:18","guid":{"rendered":"https:\/\/f-schmitz.net\/benedikt\/?page_id=71"},"modified":"2024-04-16T09:06:04","modified_gmt":"2024-04-16T09:06:04","slug":"neutron-prediction-tool","status":"publish","type":"page","link":"https:\/\/f-schmitz.net\/benedikt\/projekte-projects\/neutron-prediction-tool\/","title":{"rendered":"Neutron Prediction"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"71\" class=\"elementor elementor-71\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-58294c5f elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"58294c5f\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-194c59cb\" data-id=\"194c59cb\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1d7c9f77 elementor-widget elementor-widget-heading\" data-id=\"1d7c9f77\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\">Eckdaten<\/h5>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7327387a elementor-widget elementor-widget-text-editor\" data-id=\"7327387a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul><li>Zeit: 01\/2019 \u2013 03\/2023<\/li><li>An der TU Darmstadt, TEMF, Prof. Boine-Frankenheim<\/li><li>Teil der Forschung zur Dissertation<\/li><li>Fokus:<ul><li>Monte Carlo Simulation (mit <a href=\"https:\/\/phits.jaea.go.jp\/\">PHITS<\/a>)<\/li><li>Hochleistungsrechnen (auf Windowscluster)<\/li><li>KI gest\u00fctze Modellierung (mit <a href=\"https:\/\/keras.io\/\">Keras<\/a> und <a href=\"https:\/\/www.tensorflow.org\/\">Tensorflow<\/a>)<\/li><\/ul><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-736bd199 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"736bd199\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1af655f9 elementor-widget elementor-widget-heading\" data-id=\"1af655f9\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\">Ergebnisse<\/h5>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4a33271c elementor-widget elementor-widget-text-editor\" data-id=\"4a33271c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Dieses Projekt resultierte in mehreren Publikationen:<\/p><ul><li>Datenrepository zur Modellierung Neutronen Yields<\/li><li>KI Modell zur Vorhersage und Optimierung<\/li><li>Ein peer-reviewed Artikel<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-66 elementor-top-column elementor-element elementor-element-29d7390\" data-id=\"29d7390\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-3093d675 elementor-widget elementor-widget-heading\" data-id=\"3093d675\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\">BESCHREIBUNG<\/h5>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3da881fb elementor-widget elementor-widget-text-editor\" data-id=\"3da881fb\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Das Ziel dieses Projektes ist das Finden eines Surrogatmodels f\u00fcr doppelt differentielle Neutronen Yields.<\/p><p>Basierend auf einem extensiven Simulationsdatensatz wurde ein Surrogatmodel basierend auf K\u00fcnstlichen Neuronalen Netzen entwickelt. W\u00e4hrend die Simulationen gewisse Bereiche gut abbilden kann, kann es nicht in Bereiche extrapolieren die nicht im Rahmen der Simulationen getestet wurden. <br \/>Es ist wichtig zu verstehen, dass die Spektren komplexes Verhalten an den Tag legen aber . durch eine Aufteilung der Modellierung viel gewonnen werden kann. <br \/>Daher wurden 2 Modelle trainiert welche zusammen notwendig sind um ein volles Spektrum vorherzusagen. <br \/>Beide Modelle und detaillierte Informationen sind hier verlinkt.<\/p><p>Das aktuelle Model ist nutzbar, kann aber mit neuen Daten weiter verbessert werden.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-63f954be elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"63f954be\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-255db933\" data-id=\"255db933\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-658da4b9 elementor-widget elementor-widget-heading\" data-id=\"658da4b9\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\">META<\/h5>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2777f652 elementor-widget elementor-widget-text-editor\" data-id=\"2777f652\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul><li>Time: 01\/2019 \u2013 03\/2023<\/li><li>At TU Darmstadt, TEMF, Prof. Boine-Frankenheim<\/li><li>Part of my PhD research<\/li><li>Focus:<ul><li>Monte Carlo Simulations (with <a href=\"https:\/\/phits.jaea.go.jp\/\">PHITS<\/a>)<\/li><li>High Performance Computing (using a Windowscluster)<\/li><li>AI supported modeling (using <a href=\"https:\/\/keras.io\/\">Keras<\/a> and <a href=\"https:\/\/www.tensorflow.org\/\">Tensorflow<\/a>)<\/li><\/ul><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7b5f0af0 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"7b5f0af0\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4cfc7881 elementor-widget elementor-widget-heading\" data-id=\"4cfc7881\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\">DEliverables<\/h5>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1711b7c1 elementor-widget elementor-widget-text-editor\" data-id=\"1711b7c1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>The project resultet in several deliverables:<\/p><ul><li>Datarepsitory for the modelling of double differential neutron yields.<\/li><li>AI model for the prediction and optimization of experimental parameters<\/li><li>One peer reviewed article<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-66 elementor-top-column elementor-element elementor-element-349e5c50\" data-id=\"349e5c50\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-3fc095d9 elementor-widget elementor-widget-heading\" data-id=\"3fc095d9\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\">Description<\/h5>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7d94bf54 elementor-widget elementor-widget-text-editor\" data-id=\"7d94bf54\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>This project aims to determine a surrogate model for double differential neutron yields.<\/p><p>Based on an extensive simulation dataset, a surrogate model based on artificial neural networks was developed. While the simulations can represent certain areas well, it cannot extrapolate to areas that were not tested in the simulations. <br \/>It is important to understand that the spectra exhibit complex behavior but much can be gained by splitting the modeling. <br \/>Therefore 2 models were trained which together are necessary to predict a full spectrum. <br \/>Both models and detailed information are linked here.<\/p><p>The model at the current state is usable, but if further data is generated it might still be improved by extensive retraining.<\/p><p>\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-347b4803 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"347b4803\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-50d8845\" data-id=\"50d8845\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-177abfa0 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"177abfa0\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6c6a96c8 elementor-widget elementor-widget-image-gallery\" data-id=\"6c6a96c8\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image-gallery.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-image-gallery\">\n\t\t\t<div id='gallery-1' class='gallery galleryid-71 gallery-columns-4 gallery-size-thumbnail'><figure class='gallery-item'>\n\t\t\t<div class='gallery-icon landscape'>\n\t\t\t\t<a data-elementor-open-lightbox=\"yes\" data-elementor-lightbox-slideshow=\"6c6a96c8\" data-elementor-lightbox-title=\"neutrons\" data-e-action-hash=\"#elementor-action%3Aaction%3Dlightbox%26settings%3DeyJpZCI6ODAsInVybCI6Imh0dHBzOlwvXC9mLXNjaG1pdHoubmV0XC9iZW5lZGlrdFwvd3AtY29udGVudFwvdXBsb2Fkc1wvMjAyM1wvMDRcL25ldXRyb25zLnBuZyIsInNsaWRlc2hvdyI6IjZjNmE5NmM4In0%3D\" href='https:\/\/f-schmitz.net\/benedikt\/wp-content\/uploads\/2023\/04\/neutrons.png'><img decoding=\"async\" width=\"150\" height=\"150\" src=\"https:\/\/f-schmitz.net\/benedikt\/wp-content\/uploads\/2023\/04\/neutrons-150x150.png\" class=\"attachment-thumbnail size-thumbnail\" alt=\"\" srcset=\"https:\/\/f-schmitz.net\/benedikt\/wp-content\/uploads\/2023\/04\/neutrons-150x150.png 150w, https:\/\/f-schmitz.net\/benedikt\/wp-content\/uploads\/2023\/04\/neutrons-300x300.png 300w, https:\/\/f-schmitz.net\/benedikt\/wp-content\/uploads\/2023\/04\/neutrons-1024x1024.png 1024w, https:\/\/f-schmitz.net\/benedikt\/wp-content\/uploads\/2023\/04\/neutrons-768x768.png 768w, https:\/\/f-schmitz.net\/benedikt\/wp-content\/uploads\/2023\/04\/neutrons.png 1181w\" sizes=\"(max-width: 150px) 100vw, 150px\" \/><\/a>\n\t\t\t<\/div><\/figure><figure class='gallery-item'>\n\t\t\t<div class='gallery-icon landscape'>\n\t\t\t\t<a data-elementor-open-lightbox=\"yes\" data-elementor-lightbox-slideshow=\"6c6a96c8\" data-elementor-lightbox-title=\"Neutron Model Chart\" data-e-action-hash=\"#elementor-action%3Aaction%3Dlightbox%26settings%3DeyJpZCI6Mzg0LCJ1cmwiOiJodHRwczpcL1wvZi1zY2htaXR6Lm5ldFwvYmVuZWRpa3RcL3dwLWNvbnRlbnRcL3VwbG9hZHNcLzIwMjRcLzA0XC9OZXV0cm9uRmxvd0NoYXJ0LnBuZyIsInNsaWRlc2hvdyI6IjZjNmE5NmM4In0%3D\" data-elementor-lightbox-description=\"This flow chart displays the full training and application scheme of the model. \" href='https:\/\/f-schmitz.net\/benedikt\/wp-content\/uploads\/2024\/04\/NeutronFlowChart.png'><img decoding=\"async\" width=\"150\" height=\"150\" src=\"https:\/\/f-schmitz.net\/benedikt\/wp-content\/uploads\/2024\/04\/NeutronFlowChart-150x150.png\" class=\"attachment-thumbnail size-thumbnail\" alt=\"\" aria-describedby=\"gallery-1-384\" \/><\/a>\n\t\t\t<\/div>\n\t\t\t\t<figcaption class='wp-caption-text gallery-caption' id='gallery-1-384'>\n\t\t\t\tFlow chart on how to use the models. \n\t\t\t\t<\/figcaption><\/figure><figure class='gallery-item'>\n\t\t\t<div class='gallery-icon landscape'>\n\t\t\t\t<a data-elementor-open-lightbox=\"yes\" data-elementor-lightbox-slideshow=\"6c6a96c8\" data-elementor-lightbox-title=\"Neutrons for TNSA\" data-e-action-hash=\"#elementor-action%3Aaction%3Dlightbox%26settings%3DeyJpZCI6Mzg2LCJ1cmwiOiJodHRwczpcL1wvZi1zY2htaXR6Lm5ldFwvYmVuZWRpa3RcL3dwLWNvbnRlbnRcL3VwbG9hZHNcLzIwMjRcLzA0XC9OZXV0cm9uVE5TQS5wbmciLCJzbGlkZXNob3ciOiI2YzZhOTZjOCJ9\" data-elementor-lightbox-description=\"Model output for a typical TNSA proton beam with corresponding Monte Carlo results.\" href='https:\/\/f-schmitz.net\/benedikt\/wp-content\/uploads\/2024\/04\/NeutronTNSA.png'><img decoding=\"async\" width=\"150\" height=\"150\" src=\"https:\/\/f-schmitz.net\/benedikt\/wp-content\/uploads\/2024\/04\/NeutronTNSA-150x150.png\" class=\"attachment-thumbnail size-thumbnail\" alt=\"\" aria-describedby=\"gallery-1-386\" \/><\/a>\n\t\t\t<\/div>\n\t\t\t\t<figcaption class='wp-caption-text gallery-caption' id='gallery-1-386'>\n\t\t\t\tNeutron model for a TNSA beam.\n\t\t\t\t<\/figcaption><\/figure><figure class='gallery-item'>\n\t\t\t<div class='gallery-icon landscape'>\n\t\t\t\t<a data-elementor-open-lightbox=\"yes\" data-elementor-lightbox-slideshow=\"6c6a96c8\" data-elementor-lightbox-title=\"Model with Training Data\" data-e-action-hash=\"#elementor-action%3Aaction%3Dlightbox%26settings%3DeyJpZCI6Mzg1LCJ1cmwiOiJodHRwczpcL1wvZi1zY2htaXR6Lm5ldFwvYmVuZWRpa3RcL3dwLWNvbnRlbnRcL3VwbG9hZHNcLzIwMjRcLzA0XC9OZXV0cm9uZW5Nb2RlbC5wbmciLCJzbGlkZXNob3ciOiI2YzZhOTZjOCJ9\" data-elementor-lightbox-description=\"This figure displays a comparison between the model&#039;s prediction and the training data for a dedicated set of parameters. \" href='https:\/\/f-schmitz.net\/benedikt\/wp-content\/uploads\/2024\/04\/NeutronenModel.png'><img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"150\" src=\"https:\/\/f-schmitz.net\/benedikt\/wp-content\/uploads\/2024\/04\/NeutronenModel-150x150.png\" class=\"attachment-thumbnail size-thumbnail\" alt=\"\" aria-describedby=\"gallery-1-385\" \/><\/a>\n\t\t\t<\/div>\n\t\t\t\t<figcaption class='wp-caption-text gallery-caption' id='gallery-1-385'>\n\t\t\t\tNeutron Model prediction compared to training data.\n\t\t\t\t<\/figcaption><\/figure>\n\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-57fe639b elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"57fe639b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2afa047c elementor-widget elementor-widget-heading\" data-id=\"2afa047c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\">Links und Referenzen \/ Links and References<\/h5>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-63d0f39e elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"63d0f39e\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-5d18b58\" data-id=\"5d18b58\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-7326947e elementor-widget elementor-widget-text-editor\" data-id=\"7326947e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ol><li>B. Schmitz<br \/><a href=\"https:\/\/tudatalib.ulb.tu-darmstadt.de\/handle\/tudatalib\/3906\">Neutron Yield Spectra simulated with Monte Carlo code<\/a><br \/><a href=\"https:\/\/git.rwth-aachen.de\/surrogat-models\/neutron-data\">Corresponding Gitlab<\/a><\/li><li><p>B. Schmitz<br \/><a href=\"https:\/\/tudatalib.ulb.tu-darmstadt.de\/handle\/tudatalib\/3905\">Modeling a Neutron Yield Model<\/a><br \/><a href=\"https:\/\/git.rwth-aachen.de\/surrogat-models\/surrogate-modeling-for-neutron-production\">Corresponding Gitlab<\/a><\/p><\/li><li><p>B. Schmitz, S. Scheuren<br \/><a href=\"https:\/\/doi.org\/10.3390\/jne5020009\">Neutron Yield Predictions with Artificial Neural Networks: A Predictive Modeling Approach<\/a><br \/>J. Nucl. Eng. <b>2024<\/b>, <em>5<\/em>(2), 114-127<\/p><\/li><\/ol>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Eckdaten Zeit: 01\/2019 \u2013 03\/2023 An der TU Darmstadt, TEMF, Prof. Boine-Frankenheim Teil der Forschung zur Dissertation Fokus: Monte Carlo Simulation (mit PHITS) Hochleistungsrechnen (auf Windowscluster) KI gest\u00fctze Modellierung (mit Keras und Tensorflow) Ergebnisse Dieses Projekt resultierte in mehreren Publikationen: Datenrepository zur Modellierung Neutronen Yields KI Modell zur Vorhersage und Optimierung Ein peer-reviewed Artikel BESCHREIBUNG [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":33,"menu_order":76,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-71","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/f-schmitz.net\/benedikt\/wp-json\/wp\/v2\/pages\/71","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/f-schmitz.net\/benedikt\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/f-schmitz.net\/benedikt\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/f-schmitz.net\/benedikt\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/f-schmitz.net\/benedikt\/wp-json\/wp\/v2\/comments?post=71"}],"version-history":[{"count":18,"href":"https:\/\/f-schmitz.net\/benedikt\/wp-json\/wp\/v2\/pages\/71\/revisions"}],"predecessor-version":[{"id":393,"href":"https:\/\/f-schmitz.net\/benedikt\/wp-json\/wp\/v2\/pages\/71\/revisions\/393"}],"up":[{"embeddable":true,"href":"https:\/\/f-schmitz.net\/benedikt\/wp-json\/wp\/v2\/pages\/33"}],"wp:attachment":[{"href":"https:\/\/f-schmitz.net\/benedikt\/wp-json\/wp\/v2\/media?parent=71"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}