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Exponential BGK integrator for multiscale flow simulation
Garmirian, F., Gorji, H., & Pfeiffer, M. (2024). Exponential BGK integrator for multiscale flow simulation. In R. S. Myong, K. Xu, & J. S. Wu (Eds.), AIP conference proceedings: Vol. 2996. International symposium on rarefied gas dynamics (p. 060005). https://doi.org/10.1063/5.0187429
A soft robotic morphing wing for unmanned underwater vehicles
Giordano, A., Achenbach, L., Lenggenhager, D., Wiesemüller, F., Vonbank, R., Mucignat, C., … Kovač, M. (2024). A soft robotic morphing wing for unmanned underwater vehicles. Advanced Intelligent Systems. https://doi.org/10.1002/aisy.202300702
Simultaneous PIV–LIF measurements using RuPhen and a color camera
Shah, J., Mucignat, C., Lunati, I., & Rösgen, T. (2024). Simultaneous PIV–LIF measurements using RuPhen and a color camera. Experiments in Fluids, 65, 3 (15 pp.). https://doi.org/10.1007/s00348-023-03742-4
Amorphous matters: heterogeneity and defects of nanopore silica surfaces enhance CO<sub>2</sub> adsorption
Turchi, M., Galmarini, S., & Lunati, I. (2024). Amorphous matters: heterogeneity and defects of nanopore silica surfaces enhance CO2 adsorption. Journal of Non-Crystalline Solids, 624, 122709 (11 pp.). https://doi.org/10.1016/j.jnoncrysol.2023.122709
Atomistic simulations of calcium aluminosilicate interfaced with liquid water
Vuković, F., Garcia, N. A., Perera, S., Turchi, M., Andersson, M. P., Solvang, M., … Walsh, T. R. (2023). Atomistic simulations of calcium aluminosilicate interfaced with liquid water. Journal of Chemical Physics, 159(10), 104704 (11 pp.). https://doi.org/10.1063/5.0164817
Superhydrophobic and flexible aerogels and xerogels derived from organosilane precursors
Kanamori, K., Stojanovic, A., Pajonk, G. M., Nadargi, D. Y., Rao, A. V., Nakanishi, K., & Koebel, M. M. (2023). Superhydrophobic and flexible aerogels and xerogels derived from organosilane precursors. In M. A. Aegerter, N. Leventis, M. Koebel, & S. A. Steiner III (Eds.), Springer handbooks. Springer handbook of aerogels (pp. 367-391). https://doi.org/10.1007/978-3-030-27322-4_15
A machine learning approach for computation of cardiovascular intrinsic frequencies
Alavi, R., Wang, Q., Gorji, H., & Pahlevan, N. M. (2023). A machine learning approach for computation of cardiovascular intrinsic frequencies. PLoS One, 18(10), e0285228 (20 pp.). https://doi.org/10.1371/journal.pone.0285228
LES of dispersion in a street canyon with tree planting
Moonen, P., Gromke, C., Dorer, V., & Carmeliet, J. (2011). LES of dispersion in a street canyon with tree planting. In PHYSMOD 2011. Conference proceedings (pp. 320-327). sine nomine.
A lightweight neural network designed for fluid velocimetry
Manickathan, L., Mucignat, C., & Lunati, I. (2023). A lightweight neural network designed for fluid velocimetry. Experiments in Fluids, 64(10), 161 (17 pp.). https://doi.org/10.1007/s00348-023-03695-8
Prediction of the surface chemistry of calcium aluminosilicate glasses
Miri Ramsheh, S., Turchi, M., Perera, S., Schade, A. M., Okhrimenko, D. V., Stipp, S. L. S., … Andersson, M. P. (2023). Prediction of the surface chemistry of calcium aluminosilicate glasses. Journal of Non-Crystalline Solids, 620, 122597 (7 pp.). https://doi.org/10.1016/j.jnoncrysol.2023.122597
Data-driven stochastic particle scheme for collisional plasma simulations
Chung, K., Fei, F., Gorji, M. H., & Jenny, P. (2023). Data-driven stochastic particle scheme for collisional plasma simulations. Journal of Computational Physics, 492, 112400 (15 pp.). https://doi.org/10.1016/j.jcp.2023.112400
A comparison of DOE-2.1E daylighting and HVAC system interactions to actual building performance
Loutzenhiser, P. G., Maxwell, G. M., & Kummert, M. (2006). A comparison of DOE-2.1E daylighting and HVAC system interactions to actual building performance. In ASHRAE transactions: Vol. 112 part 2. 2006 annual meeting of the American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE) (pp. 409-417). ASHRAE.
Incorporation of salt related effects into a hygrothermal transport model
Funk, M., Nicolai, A., & Grunewald, J. (2006). Incorporation of salt related effects into a hygrothermal transport model. In Proceedings of the third international building physics conference. Research in building physics and building engineering (pp. 161-169). Boca Raton.
Empirical validation of solar gain modeling in building energy simulation codes using test cells in IEA Task 34/Annex 43
Manz, H., Loutzenhiser, P., Frank, T., Steiner, R., Reber, G., & Oelhafen, P. (2006). Empirical validation of solar gain modeling in building energy simulation codes using test cells in IEA Task 34/Annex 43. In P. Fazio, H. Ge, J. Rao, & G. Desmarais (Eds.), Proceedings of the third international building physics conference. Research in building physics and building engineering (pp. 595-601). https://doi.org/10.1201/9781003060826-93
Potential for passive cooling of buildings by night-time ventilation in present and future climates in Europe
Artmann, N., Manz, H., & Heiselberg, P. (2006). Potential for passive cooling of buildings by night-time ventilation in present and future climates in Europe. In PLEA2006. 23rd conference on passive and low energy architecture (p. 339 (6 pp.). Université de Genève.
Critical assessment of various particle Fokker-Planck models for monatomic rarefied gas flows
Kim, S., Gorji, H., & Jun, E. (2023). Critical assessment of various particle Fokker-Planck models for monatomic rarefied gas flows. Physics of Fluids, 35(4), 046117 (23 pp.). https://doi.org/10.1063/5.0143195
Projection of healthcare demand in Germany and Switzerland urged by Omicron wave (January-March 2022)
Gorji, H., Stauffer, N., Lunati, I., Caduff, A., Bühler, M., Engel, D., … Renz, H. (2023). Projection of healthcare demand in Germany and Switzerland urged by Omicron wave (January-March 2022). Epidemics, 43, 100680 (9 pp.). https://doi.org/10.1016/j.epidem.2023.100680
A lightweight convolutional neural network to reconstruct deformation in BOS recordings
Mucignat, C., Manickathan, L., Shah, J., Rösgen, T., & Lunati, I. (2023). A lightweight convolutional neural network to reconstruct deformation in BOS recordings. Experiments in Fluids, 64(4), 72 (16 pp.). https://doi.org/10.1007/s00348-023-03618-7
Energie-Detailbilanz des Eawag Forum Chriesbach
Güttinger, H., Van Velsen, S., Lehmann, B., Frank, T., Dorer, V., Lichtensteiger, T., … Beerle, D. (2009). Energie-Detailbilanz des Eawag Forum Chriesbach. Eidgenössisches Departement für Umwelt, Verkehr, Energie und Kommunikation UVEK.
Diffuse Belastung von Regenabwasser durch organische Problemstoffe und offene Fragen zum Regenwasser-Management
Burkhardt, M., Zuleeg, S., Vonbank, R., Haag, R., Schmid, P., Hean, S., … Boller, M. (2009). Diffuse Belastung von Regenabwasser durch organische Problemstoffe und offene Fragen zum Regenwasser-Management. In Hamburger Berichte zur Siedlungswasserwirtschaft: Vol. 70. 21. Kolloquium und Fortbildungskurs zur Abwasserwirtschaft (pp. 37-42). Gesellschaft zur Förderung der Forschung und Entwicklung der Umwelttechnologien an der Universität Hamburg-Harburg e.V.
 

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