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Origin of the enhanced pseudo-elasticity of additively manufactured Fe-17Mn-5Si-4Ni-10Cr-(V, C) shape memory alloy fabricated by laser powder bed fusion
Kim, D., Ferretto, I., Park, G. W., Leinenbach, C., Kim, W., & Lee, W. (2024). Origin of the enhanced pseudo-elasticity of additively manufactured Fe-17Mn-5Si-4Ni-10Cr-(V, C) shape memory alloy fabricated by laser powder bed fusion. Journal of Alloys and Compounds, 976, 173226 (11 pp.). https://doi.org/10.1016/j.jallcom.2023.173226
Site-specifically tailored microstructures with enhanced strength and hardening through laser powder bed fusion
Sofras, C., Čapek, J., Li, X., Roth, C. C., Leinenbach, C., Logé, R. E., … Polatidis, E. (2024). Site-specifically tailored microstructures with enhanced strength and hardening through laser powder bed fusion. Materials and Design, 237, 112539 (11 pp.). https://doi.org/10.1016/j.matdes.2023.112539
Explaining the effect of in-plane strain on thermal degradation kinetics of Cu/W nano-multilayers
Troncoso, J. F., Lorenzin, G., Cancellieri, C., & Turlo, V. (2024). Explaining the effect of in-plane strain on thermal degradation kinetics of Cu/W nano-multilayers. Scripta Materialia, 242, 115902 (5 pp.). https://doi.org/10.1016/j.scriptamat.2023.115902
Monitoring of Laser Powder Bed Fusion process by bridging dissimilar process maps using deep learning-based domain adaptation on acoustic emissions
Pandiyan, V., Wróbel, R., Richter, R. A., Leparoux, M., Leinenbach, C., & Shevchik, S. (2024). Monitoring of Laser Powder Bed Fusion process by bridging dissimilar process maps using deep learning-based domain adaptation on acoustic emissions. Additive Manufacturing, 80, 103974 (13 pp.). https://doi.org/10.1016/j.addma.2024.103974
Effect of hydrogen on the chemical state, stoichiometry and density of amorphous Al<sub>2</sub>O<sub>3</sub> films grown by thermal atomic layer deposition
Cancellieri, C., Gramatte, S., Politano, O., Lapeyre, L., Klimashin, F. F., Mackosz, K., … Jeurgens, L. P. H. (2024). Effect of hydrogen on the chemical state, stoichiometry and density of amorphous Al2O3 films grown by thermal atomic layer deposition. Surface and Interface Analysis. https://doi.org/10.1002/sia.7282
Influence of wall thickness on microstructure and mechanical properties of thin-walled 316L stainless steel produced by laser powder bed fusion
Wrobel, R., Del Guidice, L., Scheel, P., Abando, N., Maeder, X., Vassiliou, M., … Leinenbach, C. (2024). Influence of wall thickness on microstructure and mechanical properties of thin-walled 316L stainless steel produced by laser powder bed fusion. Materials and Design, 238, 112652. https://doi.org/10.1016/j.matdes.2024.112652
Healing of keyhole porosity by means of defocused laser beam remelting: operando observation by X-ray imaging and acoustic emission-based detection
de Formanoir, C., Hamidi Nasab, M., Schlenger, L., Van Petegem, S., Masinelli, G., Marone, F., … Logé, R. E. (2024). Healing of keyhole porosity by means of defocused laser beam remelting: operando observation by X-ray imaging and acoustic emission-based detection. Additive Manufacturing, 79, 103880 (18 pp.). https://doi.org/10.1016/j.addma.2023.103880
Classification of progressive wear on a multi-directional pin-on-disc tribometer simulating conditions in human joints-UHMWPE against CoCrMo using acoustic emission and machine learning
Deshpande, P., Wasmer, K., Imwinkelried, T., Heuberger, R., Dreyer, M., Weisse, B., … Pandiyan, V. (2024). Classification of progressive wear on a multi-directional pin-on-disc tribometer simulating conditions in human joints-UHMWPE against CoCrMo using acoustic emission and machine learning. Lubricants, 12(2), 47 (23 pp.). https://doi.org/10.3390/lubricants12020047
Laser metal deposition of titanium on stainless steel with high powder flowrate for high interfacial strength
Cui, D., Aggarwal, A., & Leparoux, M. (2024). Laser metal deposition of titanium on stainless steel with high powder flowrate for high interfacial strength. International Journal of Material Forming, 17(2), 18 (11 pp.). https://doi.org/10.1007/s12289-024-01820-4
Unravelling keyhole instabilities and laser absorption dynamics during laser irradiation of Ti6Al4V: a high-fidelity thermo-fluidic study
Aggarwal, A., Shin, Y. C., & Kumar, A. (2024). Unravelling keyhole instabilities and laser absorption dynamics during laser irradiation of Ti6Al4V: a high-fidelity thermo-fluidic study. International Journal of Heat and Mass Transfer, 219, 124841 (23 pp.). https://doi.org/10.1016/j.ijheatmasstransfer.2023.124841
Characterising the sticking coefficient of chemistries relevant for artificial solid electrolyte interphases
Lapeyre, L., Mackosz, K., Szmyt, W., Pethö, L., Michler, J., Raynaud, P., & Utke, I. (2023). Characterising the sticking coefficient of chemistries relevant for artificial solid electrolyte interphases. Presented at the EuroCVD/Baltic ALD 2023. Leuven.
Machine learning of twin/matrix interfaces from local stress field
Troncoso, J. F., Hu, Y., della Ventura, N. M., Sharma, A., Maeder, X., & Turlo, V. (2023). Machine learning of twin/matrix interfaces from local stress field. Computational Materials Science, 228, 112322 (11 pp.). https://doi.org/10.1016/j.commatsci.2023.112322
All-optical switching of liquid crystals at terahertz frequencies enabled by metamaterials
Beddoes, B., Perivolari, E., Kaczmarek, M., Apostolopoulos, V., & Fedotov, V. A. (2023). All-optical switching of liquid crystals at terahertz frequencies enabled by metamaterials. Optics Express, 31(11), 18336-18345. https://doi.org/10.1364/OE.488360
Encoder-decoder based convolutional neural network (EDCNN) for video classification of smoke and fire image
Caesarendra, W., Pandiyan, V., Umar, M. M., Pamungkas, D. S., Sulowicz, M., & Yassin, H. (2023). Encoder-decoder based convolutional neural network (EDCNN) for video classification of smoke and fire image. In W. R. Puspita (Ed.), AIP conference proceedings: Vol. 2665. International conference on applied engineering (p. 040012 (9 pp.). https://doi.org/10.1063/5.0127353
A molecular dynamics study of Ag-Ni nanometric multilayers: thermal behavior and stability
Baras, F., Politano, O., Li, Y., & Turlo, V. (2023). A molecular dynamics study of Ag-Ni nanometric multilayers: thermal behavior and stability. Nanomaterials, 13(14), 2134 (24 pp.). https://doi.org/10.3390/nano13142134
Material testing of micro-concrete and 3D-printed reinforcement for use in small-scale seismic testing of RC structures
Elmorsy, M., Wrobel, R., Leinenbach, C., & Vassiliou, M. F. (2023). Material testing of micro-concrete and 3D-printed reinforcement for use in small-scale seismic testing of RC structures. In M. Papadrakakis & M. Fragiadakis (Eds.), COMPDYN proceedings. 9th ECCOMAS thematic conference on computational methods in structural dynamics and earthquake engineering (COMPDYN 2023) (p. (11 pp.). https://doi.org/10.3929/ethz-b-000615924
Atomistic simulations of the crystalline-to-amorphous transformation of <em>γ</em>-Al<sub>2</sub>O<sub>3</sub> nanoparticles: delicate interplay between lattice distortions, stresses, and space charges
Gramatte, S., Politano, O., Xomalis, A., Jeurgens, L., Baras, F., & Turlo, V. (2023). Atomistic simulations of the crystalline-to-amorphous transformation of γ-Al2O3 nanoparticles: delicate interplay between lattice distortions, stresses, and space charges. Presented at the Swiss nano convention 2023. Neuchâtel.
Investigation of laser beam attenuation and energy partitioning during coaxial laser directed energy deposition process
Aggarwal, A., Leparoux, M., Turlo, V., & Leinenbach, C. (2023). Investigation of laser beam attenuation and energy partitioning during coaxial laser directed energy deposition process. Presented at the Alloys for additive manufacturing symposium (AAMS 2023). Madrid.
Neutron imaging characterization of functionally graded structures built by laser powder bed fusion
Malamud, F., Baganis, A., Busi, M., Polatidis, E., Leinenbach, C., & Strobl, M. (2023). Neutron imaging characterization of functionally graded structures built by laser powder bed fusion. Presented at the Alloys for additive manufacturing symposium (AAMS 2023). Madrid.
Powder-scale simulation and experimental characterization of internal pore defects during laser powder bed fusion
Yang, J., Schlenger, L. M., Logé, R. E., & Leinenbach, C. (2023). Powder-scale simulation and experimental characterization of internal pore defects during laser powder bed fusion. Presented at the EDMX research day 2023. Lausanne.
 

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