Christoph Alexander Dösinger
1 - 4 out of 4Page size: 10
Research output
- 2025
- Published
Descriptors based on the density of states for efficient machine learning of grain-boundary segregation energies
Dösinger, C. A., Hammerschmidt, T., Peil, O. E., Scheiber, D. & Romaner, L., 13 Nov 2025, In: Computational materials science. 247.2024, 31 January, 10 p.Research output: Contribution to journal › Article › Research › peer-review
- 2024
- Published
Grain boundary segregation for the Fe-P system: Insights from atomistic modeling and Bayesian inference
Reichmann, A., Tuchinda, N., Dösinger, C. A., Scheiber, D., Razumovskiy, V. I., Peil, O. E., Matson, T. P., Schuh, C. A. & Romaner, L., 26 Jul 2024, In: Acta materialia. 279.2024, 15 October, 11 p., 120215.Research output: Contribution to journal › Article › Research › peer-review
- 2023
- Published
Efficient descriptors and active learning for grain boundary segregation
Dösinger, C. A., Hodapp, M., Peil, O., Reichmann, A., Razumovskiy, V. I., Scheiber, D. & Romaner, L., 2023, In: Physical review materials . 7.2023, 11, 11 p., 113606.Research output: Contribution to journal › Article › Research › peer-review
- 2022
- Published
Applications of Data Driven Methods in Computational Materials Design
Dösinger, C. A., Spitaler, T., Reichmann, A., Scheiber, D. & Romaner, L., 2022, In: Berg- und hüttenmännische Monatshefte : BHM. 167-2022, 1, p. 29-35 7 p.Research output: Contribution to journal › Article › Research › peer-review
