Update research.rst (#1529)

Author: Kostap7

docs/user/research.rst

@@ -120,6 +120,7 @@ Here is a list of research papers that used DeepXDE. If you would like your pape
 PINN
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+#. K\. Prantikos, S. Chatzidakis, L.H. Tsoukalas, & A. Heifetz. `Physics-informed neural network with transfer learning (TL-PINN) based on domain similarity measure for prediction of nuclear reactor transients <https://www.nature.com/articles/s41598-023-43325-1>`_. *Scientific Reports*, 13, 16840, 2023.
 #. V\. Medvedev, A. Erdmann, & A. Rosskopf. `Modeling of near- and far-field diffraction from EUV absorbers using physics-informed neural networks <https://ieeexplore.ieee.org/abstract/document/10221390>`_. *Photonics & Electromagnetics Research Symposium (PIERS)*, 297-305, 2023.
 #. S\. Song, & H. Jin. `Identifying constitutive parameters for complex hyperelastic solids using physics-informed neural networks <https://arxiv.org/abs/2308.15640>`_. *arXiv preprint arXiv:2308.15640*, 2023.
 #. Z\. Hao, J. Yao, C. Su, H. Su, Z. Wang, F. Lu, Z. Xia, Y. Zhang, S. Liu, L. Lu, & J. Zhu. `PINNacle: A comprehensive benchmark of physics-informed neural networks for solving PDEs <https://arxiv.org/abs/2306.08827>`_. *arXiv preprint arXiv:2306.08827*, 2023.