Citations
When using TDS Simulator please cite:
MATLAB version
E. García-Macías, Z.D. Harris, E. Martínez-Pañeda. TDS Simulator: A MATLAB App to model temperature-programmed hydrogen desorption. International Journal of Hydrogen Energy 94, 510-524 (2024) [PDF]
Python version
N. Marrani, T. Hageman, E. Martínez-Pañeda. A neural network machine-learning approach for characterising hydrogen trapping parameters from TDS experiments. International Journal of Hydrogen Energy 167, 150874 (2025) [PDF]
List of publications that have used TDS Simulator:
▪ F. Lu, H. Lu, N. Min, W. Li. An in-situ investigation into dislocation-mediated hydrogen desorption behavior of martensitic steels. Corrosion Science 259, 113468 (2025)
▪ S. Yang, A. Díaz, A.M. De Jesus, D. Meng, S.P. Zhu. Machine learning-assisted intelligent identification of hydrogen trap information in temperature-programmed hydrogen desorption. Engineering Failure Analysis 182, 10180 (2025)
▪ C. Santos Maldonado, A. Zafra, E. Martínez-Pañeda, P. Sandmann, R. Morana, M.-S. Pham. Influence of dislocation cells in the hydrogen diffusivity, trapping and embrittlement of wrought and additively manufactured Inconel 718. Communications Materials 5, 223 (2024)
