LIU, Pengju, CHANG, Ping, FAN, Bowen, WANG, Lele, GHOSH, Apurna und BARAKOS, George, 2025. Numerical study on dust distribution in an ultra-large-scale computational domain based on an optimised dust injection condition. Building & Environment. 1 Dezember 2025. Vol. 286, , p. N.PAG-0. DOI 10.1016/j.buildenv.2025.113704.
Elsevier - Harvard (with titles)Liu, P., Chang, P., Fan, B., Wang, L., Ghosh, A., Barakos, G., 2025. Numerical study on dust distribution in an ultra-large-scale computational domain based on an optimised dust injection condition. Building & Environment 286, N.PAG-0. https://doi.org/10.1016/j.buildenv.2025.113704
American Psychological Association 7th editionLiu, P., Chang, P., Fan, B., Wang, L., Ghosh, A., & Barakos, G. (2025). Numerical study on dust distribution in an ultra-large-scale computational domain based on an optimised dust injection condition. Building & Environment, 286, N.PAG-0. https://doi.org/10.1016/j.buildenv.2025.113704
Springer - Basic (author-date)Liu P, Chang P, Fan B, Wang L, Ghosh A, Barakos G (2025) Numerical study on dust distribution in an ultra-large-scale computational domain based on an optimised dust injection condition.. Building & Environment 286:N.PAG-0. https://doi.org/10.1016/j.buildenv.2025.113704
Juristische Zitierweise (Stüber) (Deutsch)Liu, Pengju/ Chang, Ping/ Fan, Bowen/ Wang, Lele/ Ghosh, Apurna/ Barakos, George, Numerical study on dust distribution in an ultra-large-scale computational domain based on an optimised dust injection condition., Building & Environment 2025, N.PAG-0.