Ab initio prediction of equilibrium boron isotope fractionation between minerals and aqueous fluids at high P and T
Piotr M. Kowalski (1,2), Bernd Wunder (1), Sandro Jahn (1) ((1) GFZ, German Research Centre for Geosciences, Telegrafenberg, Potsdam, Germany, (2), Forschungszentrum Juelich, Institute of Energy, Climate Research (IEK-6),, Wilhelm-Johnen-Strasse, Juelich, Germany)

TL;DR
This study uses first principles calculations to understand boron isotope fractionation between minerals and fluids at high pressure and temperature, revealing the role of boron coordination and bond length in isotope signatures.
Contribution
It introduces a computational scheme combining density functional theory and ab initio molecular dynamics to predict boron isotope fractionation at extreme conditions, aligning well with experimental data.
Findings
Isotope fractionation mainly driven by boron coordination.
B-O bond length correlates with isotope signature strength.
Predicted pressure-dependent isotope shifts match experimental vibrational data.
Abstract
Over the last decade experimental studies have shown a large B isotope fractionation between materials carrying boron incorporated in trigonally and tetrahedrally coordinated sites, but the mechanisms responsible for producing the observed isotopic signatures are poorly known. In order to understand the boron isotope fractionation processes and to obtain a better interpretation of the experimental data and isotopic signatures observed in natural samples, we use first principles calculations based on density functional theory in conjunction with ab initio molecular dynamics and a new pseudofrequency analysis method to investigate the B isotope fractionation between B-bearing minerals (such as tourmaline and micas) and aqueous fluids containing H_3BO_3 and H_4BO_4- species. We confirm the experimental finding that the isotope fractionation is mainly driven by the coordination of the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
