Hosseini-Nasab, S. M., Mousavi, S. H. R., & Fuchs, S. (2025). Thermal-property profiles from well-logs in sedimentary rocks: a novel machine-learning-based prediction tool trained on physically modelled synthetic data. Geophysical Journal International, 243(1), 1-36. https://doi.org/10.1093/gji/ggaf260
ISO-690 (author-date, English)HOSSEINI-NASAB, Seyed Mojtaba, MOUSAVI, Seyed Hamid Reza und FUCHS, Sven, 2025. Thermal-property profiles from well-logs in sedimentary rocks: a novel machine-learning-based prediction tool trained on physically modelled synthetic data. Geophysical Journal International. 1 Oktober 2025. Vol. 243, no. 1, p. 1-36. DOI 10.1093/gji/ggaf260.
Modern Language Association 9th editionHosseini-Nasab, S. M., S. H. R. Mousavi, und S. Fuchs. „Thermal-Property Profiles from Well-Logs in Sedimentary Rocks: A Novel Machine-Learning-Based Prediction Tool Trained on Physically Modelled Synthetic Data.“. Geophysical Journal International, Bd. 243, Nr. 1, Oktober 2025, S. 1-36, https://doi.org/10.1093/gji/ggaf260.
Mohr Siebeck - Recht (Deutsch - Österreich)Hosseini-Nasab, Seyed Mojtaba/Mousavi, Seyed Hamid Reza/Fuchs, Sven: Thermal-property profiles from well-logs in sedimentary rocks: a novel machine-learning-based prediction tool trained on physically modelled synthetic data., Geophysical Journal International 2025, 1-36.
Emerald - HarvardHosseini-Nasab, S.M., Mousavi, S.H.R. und Fuchs, S. (2025), „Thermal-property profiles from well-logs in sedimentary rocks: a novel machine-learning-based prediction tool trained on physically modelled synthetic data.“, Geophysical Journal International, Vol. 243 No. 1, S. 1-36.