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“.

Nikola joined our Lab

We are thrilled to announce that we have a new member in our Lab! Nikola will do his thesis research in our Lab and we wish him all the best in future!

Ivan participated in the ICSLS 2024 conference


The ICSLS 2024 conference was held in Japan from 2nd to 7th June at Prefectural Budokan in Otsu. Ivan took part at this conference, where he had two posters. One poster was about the joint work with LHD colleagues on the application of generative artificial intelligence in modeling of emitted tungsten UTA structure in EUV spectral range. The second poster was the presentation of NOVA2LIBS4fusion project results regarding the study of separation of hydrogen and deuterium spectral lines relevant for tritium retention studies.

Finally, he also had the honor of visiting the NIFS facility in Toki. Here, he held a seminar about the results disseminated at the conference, and also took a tour of LHD device that is in operation at NIFS.

Bilja stayed at ENEA Frascati Research Center for two weeks

As a part of the realisation of NOVA2LIBS4fusion project, Biljana had a scientific stay at the ENEA Frascati Research Center. There she had the opportunity to collaborate directly with Dr. Violeta Lazić, where they performed LIBS experiments and the analysis of the experimental results is underway.

Milica gave a lecture on 17th Photonics Workshop

17th Photonics Workshop was held from 10th – 14th March at the Ski Resort Kopaonik. Milica was invited to give a lecture on her work on diagnostics of Laser Induced Plasma from thin oil film. The talk was entitled Diagnostics of laser-induced plasma from a thin oil film.

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.

Milica presented the results from her PhD thesis on IX International School and Conference on Photonics

IX International School and Conference on Photonics was held in Belgrade from 28th August to 1st September. Milica was invited to give a progress report on her work on application of LIBS in determination of trace metals in oils. The talk was entitled Application of laser-induced breakdown spectroscopy for the determination of trace metals in oils.

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.