Проект ФНИ КП06-Н62/6
„Машинно обучение чрез физично информирани невронни мрежи“
IMI-BAS Sofia University

Публикации

Публикации в списания с импакт фактор

A1. R. Luna, D. Doneva, J. A. Font, J. H. Lien and S. S. Yazadjiev, “ Quasinormal Modes in Modifed Gravity using Physics-Informed Neural Networks”, Phys.Rev.D 109, 12, 124064 (2024); Q1; IF 5.0 ; https://journals.aps.org/prd/abstract/10.1103/PhysRevD.109.124064

A2. Pombo, D. Doneva, "Effects of mass and self-interaction on nonlinear scalarization of scalar-Gauss-Bonnet black holes", Phys.Rev.D 108, 12, 124068 (2023); Q1; IF 5.0; https://journals.aps.org/prd/abstract/10.1103/PhysRevD.108.124068

A3. Angela Slavova, Ventsislav Ignatov, Memristor Cellular Nonlinear Networks, 2023, 11, 1601; Q1; IF 3.5; https://doi.org/10.3390/math11071601

A4. Petar Popivanov, Angela Slavova, “Some Non-Linear Evolution Equations and Their Explicit Smooth Solutions with Exponential Growth Written into Integral Form”, Mathematics, 2024, 12, 1003; Q1; IF 3.5 ; https://doi.org/10.3390/math12071003

Публикации в списания с импакт ранг

B1. Petar Popivanov, Angela Slavova, Graphical portraits of the solutions of binary first order nonlinear ordinary differential equation near their singular point, Springer proceedings in Mathematics and Statistics, vol. 449, pp. 21-34, 2024, SJR 0.19; https://www.springerprofessional.de/graphical-portraits-of-the-solutions-of-binary-first-order-nonli/27217744

B2. Angela Slavova, Elena Litsyn, Physics informed cellular neural networks for solving partial differential equations, Springer proceedings in Mathematics and Statistics, vol. 449, pp. 35-46, 2024, SJR 0.19 ; https://www.springerprofessional.de/en/physics-informed-cellular-neural-networks-for-solving-partial-di/27217768

B3. Petar Popivanov, Angela Slavova, Robin boundary value problem for some nonlinear nonlocal elliptic partial differential equations, Springer proceedings in Mathematics and Statistics, vol.449, pp. 77-94, 2024, SJR 0.19; https://link.springer.com/chapter/10.1007/978-3-031-53212-2_7

B4. Petar Popivanov, Borislav Yordanov, On the Loss of Regularity in a Degenerate Vibrating Beam Equation, Springer proceedings in Mathematics and Statistics, vol.449, pp. 197-208,2024, SJR 0.19; http://link.springer.com/content/pdf/10.1007/978-3-031-53212-2_18

B5. Venelin Todorov, Slavi Georgiev, Advanced stochastic Monte Carlo optimization methods, Springer proceedings in Mathematics and Statistics, vol.449, pp. 371-384, 2024, SJR 0.19; https://link.springer.com/chapter/10.1007/978-3-031-53212-2_33

B6. Angela Slavova, Ventsislav Ignatov, Edge of chaos in reaction-diffusion system with memristor synapses, Springer proceedings in Mathematics and Statistics, vol. 449, pp. 407-418, 2024, SJR 0.19; https://link.springer.com/chapter/10.1007/978-3-030-90582-8_1

B7. Venelin Todorov, Slavi Georgiev, Ivan Dimov, Novel Monte Carlo algorithm for linear algebraic systems, Springer proceedings in Mathematics and Statistics, vol. 449, pp. -445-454, 2024, SJR 0.19; DOI: 10.15439/2018F121

B8. Venelin Todorov, Slavi Georgiev, Ivan Dimov, Special lattice and digital sequences for multidimensional air pollution modelling, Springer proceedings in Mathematics and Statistics, vol.449, pp. 463-474, 2024, SJR 0.19; https://link.springer.com/chapter/10.1007/978-3-031-53212-2_41

B9. Venelin Todorov, Slavi Georgiev, Yuri Dimitrov, Novel stochastic method for multidimensional Fredholm integral equations, Springer proceedings in Mathematics and Statistics, vol.449, pp. 485-496, 2024, SJR 0.19; https://www.springerprofessional.de/en/novel-stochastic-method-for-multidimensional-fredholm-integral-e/27217802

B10. Kalin V. Staykov and Daniela D. Doneva, „ Nonlinear black hole scalarization in multi-scalar Gauss-Bonnet gravity “, J. Phys.: Conf. Ser. 2719, 012007 (2024), SJR 0.18, Q4, doi: 10.1088/1742-6596/2719/1/012007

B11. Galin Gyulchev, “A relativistic appearance of hotspots on an ultra-compact dark star”, J. Phys.: Conf. Ser. 2719, 012008 (2024), SJR 0.18, Q4,
doi: 10.1088/1742-6596/2719/1/012008

Списък на представяния на резултатите от проекта на научни форуми

  1. S.Yazadjiev, “Dynamical development of fundamental fields around black holes”, First Workshop on Soliton theory, Nonlinear dynamics and Machine Learning, https://indico.iaps.institute/event/34/attachments/17/150/book-of-abstracts.pdf
  2. D. Doneva, S. Yazadjiev “Calculating black hole quasinormal modes with physics informed neural networks,” First Workshop on Soliton theory, Nonlinear dynamics and Machine Learning, https://indico.iaps.institute/event/34/attachments/17/150/book-of-abstracts.pdf
  3. K. Staykov, “ Nonlinear black hole scalarization in multi-scalar Gauss-Bonnet gravity,” First Workshop on Soliton theory, Nonlinear dynamics and Machine Learning, https://indico.iaps.institute/event/34/attachments/17/150/book-of-abstracts.pdf
  4. G. Gyulchev, “Image of the shadow and thin accretion disk in gravity with a minimally coupled scalar field,” First Workshop on Soliton theory, Nonlinear dynamics and Machine Learning, https://indico.iaps.institute/event/34/attachments/17/150/book-of-abstracts.pdf
  5. P.Popivanov, Graphical portraits of the solutions of binary first order nonlinear ordinary differential equation near their singular point, Tenth International Conference NTADES 2023, www.ntades.eu
  6. E. Litsyn, A. Slavova,Physics informed neural networks, Tenth International Conference NTADES 2023, www.ntades.eu
  7. A. Slavova, V. Ignatov, Local activity theory and edge of chaos, Tenth International Conference NTADES 2023, www.ntades.eu
  8. Venelin Todorov, Slavi Georgiev, Ivan Dimov, Novel Monte Carlo algorithm for linear algebraic systems, Tenth International Conference NTADES 2023, www.ntades.eu
  9. Venelin Todorov, Slavi Georgiev, Ivan Dimov, Special lattice and digital sequences for multidimensional air pollution modelling, Tenth International Conference NTADES 2023, www.ntades.eu
  10. Venelin Todorov, Slavi Georgiev, Novel stochastic method for multidimensional Fredholm integral equations, Tenth International Conference NTADES 2023, www.ntades.eu