Showing results 241 - 250 out of 984
2020
Johnson, C., Beard, B., & Weyer, S. (2020). Introduction and overview. In Iron Geochemistry: An Isotopic Perspective (pp. 1-15). (Advances in Isotope Geochemistry). Springer Nature. https://doi.org/10.1007/978-3-030-33828-2_1
Johnson, C., Beard, B., & Weyer, S. (2020). Iron Geochemistry: An Isotopic Perspective. (Advances in Isotope Geochemistry). Springer, Cham. https://doi.org/10.1007/978-3-030-33828-2
Johnson, C., Beard, B., & Weyer, S. (2020). Preface. Advances in Isotope Geochemistry, v.
Johnson, C., Beard, B., & Weyer, S. (2020). The ancient earth. In Iron Geochemistry: An Isotopic Perspective (pp. 215-360). (Advances in Isotope Geochemistry). Springer Nature. https://doi.org/10.1007/978-3-030-33828-2_6
Johnson, C., Beard, B., & Weyer, S. (2020). The modern surficial world. In Iron Geochemistry: An Isotopic Perspective (pp. 149-214). (Advances in Isotope Geochemistry). Springer Nature. https://doi.org/10.1007/978-3-030-33828-2_5
Kiefer, P., Maiwald, M., Deubener, J., Balzer, R., Behrens, H., Waurischk, T., Reinsch, S., & Müller, R. (2020). Automated Analysis of Slow Crack Growth in Hydrous Soda-Lime Silicate Glasses. Frontiers in Materials, 7, Article 268. https://doi.org/10.3389/fmats.2020.00268
Kiefer, P., Deubener, J., Müller, R., & Behrens, H. (2020). Statistical analysis of propagation rates of indentation-induced radial cracks in soda-lime-silica glass. Journal of Non-Crystalline Solids, 527, Article 119739. https://doi.org/10.1016/j.jnoncrysol.2019.119739
Koepke, J., & Zhang, C. (2020). Axial Melt-Lens Dynamics at Fast Spreading Midocean Ridges. In Dynamic Magma Evolution (pp. 179-206). (Geophysical Monograph Series; Vol. 254). https://doi.org/10.1002/9781119521143.ch9
Koepke, J., & Feig, S. T. (2020). Magmatic Processes at the Oman Ophiolite Paleoridge: Perspectives on the Role of Water. Acta Geologica Sinica (English Edition), 94(S1), 21-22. https://doi.org/10.1111/1755-6724.14439
Li, X., Zhang, C., Behrens, H., & Holtz, F. (2020). Calculating amphibole formula from electron microprobe analysis data using a machine learning method based on principal components regression. LITHOS, 362-363, Article 105469. https://doi.org/10.1016/j.lithos.2020.105469
