Research Output per year
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 2018 2019
A Perspective on Inverse Design of Battery Interphases using Multi-scale Modelling, Experiments and Generative Deep Learning
Bhowmik, A., Castelli, I. E., García-Lastra, J. M., Jørgensen, P. B., Winther, O. & Vegge, T., 2019, In : Energy Storage Materials. 21, p. 446-456Research output: Contribution to journal › Journal article › Research › peer-review
Open Access
File
Deep Learning Spectroscopy: Neural Networks for Molecular Excitation Spectra
Ghosh, K., Stuke, A., Todorović, M., Jørgensen, P. B., Schmidt, M. N., Vehtari, A. & Rinke, P., 2019, In : Advanced Science. 6, 7 p., 1801367.Research output: Contribution to journal › Journal article › Research › peer-review
Open Access
File
Materials property prediction using symmetry-labeled graphs as atomic position independent descriptors
Jørgensen, P. B., Garijo del Río, E., Schmidt, M. N. & Jacobsen, K. W., 2019, In : Physical Review B. 100, 10, 12 p., 104114.Research output: Contribution to journal › Journal article › Research › peer-review
Open Access
File
Deep Generative Models for Molecular Science
Jørgensen, P. B., Schmidt, M. N. & Winther, O., 2018, In : Molecular Informatics. 37, 1-2, 9 p., 1700133.Research output: Contribution to journal › Journal article › Research › peer-review
Open Access
File
Machine learning-based screening of complex molecules for polymer solar cells
Jørgensen, P. B., Mesta, M., Shil, S., García Lastra, J. M., Jacobsen, K. W., Thygesen, K. S. & Schmidt, M. N., 2018, In : Journal of Chemical Physics. 148, 13 p., 241735.Research output: Contribution to journal › Journal article › Research › peer-review
Open Access
File
Projects 2016 2019
- 1 Finished
A Bayesian Approach to Neural Networks
Jørgensen, P. B., Schmidt, M. N., Mørup, M., Hansen, L. K., Darkner, S. & Lilienfeld, O. A. V.
Technical University of Denmark
15/03/2016 → 12/06/2019
Project: PhD