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Ivan defended his PhD thesis
We are proud to announce that Ivan defended his PhD Thesis entitled “Primena mašinskog učenja i veštačke inteligencije u spektroskopiji plazme” (“Application of Machine Learning and Artificial Intelligence in Plasma Spectroscopy”) on 18th October 2024 at the Faculy of Physics of University of Belgrade. Thesis advisors were Doc. Dr. Marijana Gavrilović Božović and Dr. Milivoje Ivković, the PhD Defense Committee president was Prof. Dr. Bratislav Obradović while the Committee members were Prof. Dr. Ivan Dojčinović and Dr. Vladimir Srećković.
We wish him all the best in his future work!
New paper by Ivan, Bilja and Ivke
During the work on the realization of NOVA2LIBS4fusion project financed by the Science Fund of the Republic of Serbia Ivke, Bilja and Ivan published an article in Spectrochimica Acta B: Atomic Spectroscopy journal entitled Resolving studies of Balmer alpha lines relevant to the LIBS analysis of hydrogen isotope retention
SPIG 2024
Ivke, Biljana, Neša, Milica, Ivan and Nikola participated in 32nd Symposium of Physics of Ionized Gases (SPIG 2024), held in Belgrade at the Serbian Academy of Sciences and Art. Ivke was member of the Scientific Committee for the sixth consecutive time. Ivan was in the Ogranizing Committee, while Bilja served as the co – secretary of the conference.
During the final day of the conference, Ivan gave a progress report lecture entitled “Application of Machine Learning and Artificial Intelligence in Plasma Spectroscopy“.
At the poster presentation part of the conference, Biljana presented the poster entitled “Fast Photography in the Service of Spatially and Temporally Resolved LIBS Diagnostics of Doped Tungsten”, while Ivan presented the posters entitled “Detection of Rhenium in Tungsten Using LIBS with Additional Fast Pulse Discharge” and “Influence of the Ablation Angle Change on Spectral Line Intensities in LIBS Experiments“. Apart from this, we also presented, or participated in the following posters:
Target Selection for LIBS Studies of Hydrogen Isotope Retention – Dragan Ranković, Biljana Stankov, Ivan Traparić, Miroslav Kuzmanović and Milivoje Ivković
During the conference, we also had a pleasure of hosting our friend and collaborator Dr. Chihiro Suzuki – san from NIFS Japan, who gave a talk entitled “Comprehensive Z-dependence Analysis of Soft X-ray Spectra from Highly Charged Heavy Ions Using Magnetically Confined High-temperature Plasmas“.
New publication by Ivke, Bilja and Ivan
During the work on the realization of NOVA2LIBS4fusion project financed by the Science Fund of the Republic of Serbia Ivke, Bilja and Ivan published an article in Spectrochimica Acta B: Atomic Spectroscopy journal entitled LIBS depth-profile analysis of W/Cu functionally graded material
Ivan became Research Assistant
We proudly announce that since 7th November 2022., Ivan has a new scientific title of Research Assistant at the Insitute of Physics Belgrade. We wish him a lot of success in his research in the years to come.
Ivan took part in this year ITER International School held in Aix – en – Provence
It is our great pleasure to report that Ivan was accepted to participate in this year ITER International School 2023. The topic of the summer school was Energetic Particles in Fusion Plasmas, where the school gathered leading experts in this filed that gave lectures to the students. Part of the summer school was also dedicated to the visit of ITER site, where students had the opportunity to see the site and to hear recent advances in the construction of the largest tokamak so far.
Ivan presented part of his PhD thesis work on 14th SCSLSA
14th SCSLSA was held in Bajna Bašta from 19th to 23rd June. Ivan was invited to give a progress report on his wok on application of Machine Learning algorithms on the determination of Stark Broadening line widths. The talk was entitled Stark Broadening Modeling with ML and AI Algorithms and abstract is given below. 
During past 20 years many Stark broadening models were developed that can calculate spectral lineshape and estimate a line width that is extensively used in plasma diagnostics of both astrophysical and laboratory plasmas. Some of these calculations yield results relatively fast, some of them need a lot of computational time. Therefore, idea of creating a machine learning (ML) model emerged as a tool for fast estimation of Stark width without need of huge computational time. In our approach, out of three tested models, random forest (RF) algorithm showed the best predictive power after it has been trained, where the coefficient of determination R2 = 0.94 was obtained. Model was trained on a database created by merging parameters from Stark B and NIST atomic databases, it had 14 input parameters that were used to predict final Stark width. Results were compared with experimental ones as well as with SCP theory. We also checked for regularities in Stark effect, and they were also confirmed and in agreement with previous findings.
Ivan took part in scientific excursion organised by Faculty of Physics
From 29th May until 3rd June Ivan took part in scientific excursion jointly organised by Faculty of Physics of University of Belgrade and Physical Society of Serbia. Firstly they visited Electrotechnical Faculty of University of Brno, where they saw Laboratory for High Voltages and High Currents.
Next they visited Institute of Plasma Physics of Czech Academy of Sciences and Arts where they had a lecture given by prof. Jan Horacek from IPP about fusion and tokamak physics in general. This was followed by the tour through PALS laboratory, where they saw a PW iodine laser system.
The next day they went to Dresden, to visit Helmholtz Zentrum Dresden – Rossendorf scientific institute, where they had opportunity to see free – electron laser system located at ELBE facility, as well as PW laser system DRACO that was recently put in operation.
At the end, they were guests in ELI beams facility, where they saw the most powerful laser systems in the world and had pleasure of hearing interesting lectures from experts employed there.
Ivan’s new publication
We are pleased to announce that Ivan, together with Ivke has published the article entitled Determination of austenitic steel alloys composition using laser-induced breakdown spectroscopy (LIBS) and machine learning algorithms in European Physical Journal D (EPJ D).
Ivan participated at SLSP6
Ivan took participation at 6th Spectral Line Shapes in Plasma Workshop (SLSP6) where he held 15 minute lecture entitled Stark Broadening Modeling with ML Algorithms, in which he presented his recent work on application of machine learning algorithms for modeling of Stark spectral line broadening.
