Rinke-LearnSolar

Rinke, Patrick (Principal investigator)
Hoffmann, Guillaume (Project Member)
Dvorak, Marc (Project Member)
Henkel, Pascal (Project Member)
Fangnon, Azimatu (Project Member)
Homm, Henrietta (Project Member)
Laakso, Jarno (Project Member)

Department of Applied Physics

7 Article

7 results

2024
Machine-learning accelerated structure search for ligand-protected clusters
Fang, L., Laakso, J., Rinke, P. & Chen, X., 7 Mar 2024, In: Journal of Chemical Physics. 160, 9, p. 1-9 9 p., 094106.
Research output: Contribution to journal › Article › Scientific › peer-review
Structural Disorder by Octahedral Tilting in Inorganic Halide Perovskites : New Insight with Bayesian Optimization
Li, J., Pan, F., Zhang, G-X., Liu, Z., Dong, H., Wang, D., Jiang, Z., Ren, W., Ye, Z-G., Todorović, M. & Rinke, P., 2024, (E-pub ahead of print) In: Small Structures.
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
2023
Screening Mixed-Metal Sn2M(III)Ch2X3 Chalcohalides for Photovoltaic Applications
Henkel, P., Li, J., Krishnamurthy Grandhi, G., Vivo, P. & Rinke, P., Sept 2023, In: Chemistry of Materials. 35, 18, p. 7761–7769
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
File
2 Citations (Scopus)

57 Downloads (Pure)
Updates to the DScribe library : New descriptors and derivatives
Laakso, J., Himanen, L., Homm, H., Morooka, E. V., Jäger, M. O. J., Todorović, M. & Rinke, P., 21 Jun 2023, In: Journal of Chemical Physics. 158, 23, p. 1-8 8 p., 234802.
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
File
15 Citations (Scopus)

5 Downloads (Pure)
2022
Accurate Computational Prediction of Core-Electron Binding Energies in Carbon-Based Materials: A Machine-Learning Model Combining Density-Functional Theory and GW
Golze, D., Hirvensalo, M., Hernández-León, P., Aarva, A., Etula, J., Susi, T., Rinke, P., Laurila, T. & Caro, M. A., 13 Jul 2022, In: Chemistry of Materials. 34, 14, p. 6240−6254
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
File
30 Citations (Scopus)

146 Downloads (Pure)
Compositional engineering of perovskites with machine learning
Laakso, J., Todorovic, M., Li, J., Zhang, G-X. & Rinke, P., 7 Nov 2022, In: Physical Review Materials. 6, 11, p. 1-10 10 p., 113801.
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
File
8 Citations (Scopus)

358 Downloads (Pure)
Machine learning sparse tight-binding parameters for defects
Schattauer, C., Todorović, M., Ghosh, K., Rinke, P. & Libisch, F., 20 May 2022, In: npj Computational Materials. 8, 1, p. 1-11 11 p., 116.
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
File
9 Citations (Scopus)

137 Downloads (Pure)

Rinke-LearnSolar

Research output

Search results

Machine-learning accelerated structure search for ligand-protected clusters

Structural Disorder by Octahedral Tilting in Inorganic Halide Perovskites : New Insight with Bayesian Optimization

Screening Mixed-Metal Sn2M(III)Ch2X3 Chalcohalides for Photovoltaic Applications

Updates to the DScribe library : New descriptors and derivatives

Accurate Computational Prediction of Core-Electron Binding Energies in Carbon-Based Materials: A Machine-Learning Model Combining Density-Functional Theory and GW

Compositional engineering of perovskites with machine learning

Machine learning sparse tight-binding parameters for defects