Research
Applications of artificial neural networks to nuclear reaction modeling
Research Projects:
- Theoretical modeling of hypernuclear reactions.
- Nuclear and particle physics research applying machine learning.
- Few-cluster nuclear reactions: toward the many-body problem.
Publications
[1] I. Halimski, S. Streckaite, D. Likandrovas, A. Gelzinis, L. Valkunas, J. Chmeliov, “Fluorescence concentration quenching in phthalocyanine solutions: Experimental observation and theoretical insights”, J. Chem. Phys. 164, 184304 (2026).
[2] P.-Y. Duerinck, A. Deltuva, J. Dohet-Eraly, M. Gattobigio, A. Kievsky, R. Lazauskas, D. Likandrovas, M. Viviani, “Excited state of the α particle: A benchmark study”, Phys. Rev. C 112, 044001 (2025).
[3] A. Deltuva, D. Jurčiukonis, D. Likandrovas, J. Torres Fernandez, “Three-Body Calculation of Deuteron–Nucleus Scattering Using Microscopic Global Optical Potential”, Few Body Syst. 65, 68 (2024).
Other activities
Conferences:
- The 69th Open Readings 2026 International Conference for Students of Physics and Natural Sciences.
- The 14th Young Scientists Conference “Interdisciplinary Research in Physical and Technological Sciences”.
- 46th Lithuanian National Physics Conference.
- The 67th Open Readings 2024 International Scientific Conference for Students of Physics and Natural Sciences.
Awards
- Best Poster Presentation Award in the “Astrophysics and Theoretical Physics” section, The 69th Open Readings 2026 International Conference for Students of Physics and Natural Sciences.
Internships
- 2024 Student Summer Internship.
Schools
- IFJ PAN Particle Physics Summer Student Programme 2023.
About myself
Education:
Theoretical Physics and Astrophysics Master's degree studies at Vilnius University,
2025 - present. Bachelor's degree in Physics at Vilnius University, 2021-2025.
Darius Likandrovas