| Convolutional neural networks for quality and species sorting of roundwood with image and numerical data
Achatz, J., Lukovic, M., Hilt, S., Lädrach, T., & Schubert, M. (2024). Convolutional neural networks for quality and species sorting of roundwood with image and numerical data. Expert Systems with Applications, 246, 123117 (17 pp.). https://doi.org/10.1016/j.eswa.2023.123117 |
| Simulating cumulus clouds based on self-organized criticality
Cheraghalizadeh, J., Luković, M., & Najafi, M. N. (2024). Simulating cumulus clouds based on self-organized criticality. Physica A: Statistical Mechanics and its Applications, 636, 129553 (10 pp.). https://doi.org/10.1016/j.physa.2024.129553 |
| Probing the complexity of wood with computer vision: from pixels to properties
Lukovic, M., Ciernik, L., Müller, G., Kluser, D., Pham, T., Burgert, I., & Schubert, M. (2024). Probing the complexity of wood with computer vision: from pixels to properties. Journal of the Royal Society Interface, 21(213), 20230492 (10 pp.). https://doi.org/10.1098/rsif.2023.0492 |
| Formation of electron traps in semiconducting polymers via a slow triple-encounter between trap precursor particles
Sedghi, M., Vael, C., Hu, W. H., Bauer, M., Padula, D., Landi, A., … Hany, R. (2024). Formation of electron traps in semiconducting polymers via a slow triple-encounter between trap precursor particles. Science and Technology of Advanced Materials, 25(1), 2312148 (9 pp.). https://doi.org/10.1080/14686996.2024.2312148 |
| Networking the forest infrastructure towards near real-time monitoring - a white paper
Zweifel, R., Pappas, C., Peters, R. L., Babst, F., Balanzategui, D., Basler, D., … Sterck, F. (2023). Networking the forest infrastructure towards near real-time monitoring - a white paper. Science of the Total Environment, 872, 162167 (11 pp.). https://doi.org/10.1016/j.scitotenv.2023.162167 |
| Reconstructing radial stem size changes of trees with machine learning
Luković, M., Zweifel, R., Thiry, G., Zhang, C., & Schubert, M. (2022). Reconstructing radial stem size changes of trees with machine learning. Journal of the Royal Society Interface, 19(194), 20220349 (13 pp.). https://doi.org/10.1098/rsif.2022.0349 |
| Semi-supervised learning for quality control of high-value wood products
Schubert, M., Sonderegger, W., Luković, M., & Kläusler, O. (2022). Semi-supervised learning for quality control of high-value wood products. Wood Science and Technology, 56, 1439-1453. https://doi.org/10.1007/s00226-022-01407-9 |
| Sustainable-macromolecule-assisted preparation of cross-linked, ultralight, flexible graphene aerogel sensors toward low-frequency strain/pressure to high-frequency vibration sensing
Zeng, Z., Wu, N., Yang, W., Xu, H., Liao, Y., Li, C., … Lu, X. (2022). Sustainable-macromolecule-assisted preparation of cross-linked, ultralight, flexible graphene aerogel sensors toward low-frequency strain/pressure to high-frequency vibration sensing. Small, 18(24), 2202047 (11 pp.). https://doi.org/10.1002/smll.202202047 |
| Geometry-induced nonequilibrium phase transition in sandpiles
Najafi, M. N., Cheraghalizadeh, J., Luković, M., & Herrmann, H. J. (2020). Geometry-induced nonequilibrium phase transition in sandpiles. Physical Review E, 101(3), 032116 (8 pp.). https://doi.org/10.1103/PhysRevE.101.032116 |
| Prediction of mechanical properties of wood fiber insulation boards as a function of machine and process parameters by random forest
Schubert, M., Luković, M., & Christen, H. (2020). Prediction of mechanical properties of wood fiber insulation boards as a function of machine and process parameters by random forest. Wood Science and Technology, 54(3), 703-713. https://doi.org/10.1007/s00226-020-01184-3 |
| Nanocellulose assisted preparation of ambient dried, large-scale and mechanically robust carbon nanotube foams for electromagnetic interference shielding
Zeng, Z., Wang, C., Wu, T., Han, D., Luković, M., Pan, F., … Nyström, G. (2020). Nanocellulose assisted preparation of ambient dried, large-scale and mechanically robust carbon nanotube foams for electromagnetic interference shielding. Journal of Materials Chemistry A, 8(35), 17969-17979. https://doi.org/10.1039/D0TA05961G |
| Hierarchical porous wood cellulose scaffold with atomically dispersed Pt catalysts for low-temperature ethylene decomposition
Guo, H., Warnicke, P., Griffa, M., Müller, U., Chen, Z., Schaeublin, R., … Luković, M. (2019). Hierarchical porous wood cellulose scaffold with atomically dispersed Pt catalysts for low-temperature ethylene decomposition. ACS Nano, 13(12), 14337-14347. https://doi.org/10.1021/acsnano.9b07801 |
