Kim B. Knight

Lawrence Livermore National Laboratory

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Paul R. Renne

Berkeley Geochronology Center

Naomi Marks

Lawrence Livermore National Laboratory

Nicky White

University of Cambridge

Josh Wimpenny

Lawrence Livermore National Laboratory

Sébastien Nomade

CEA Paris-Saclay

A. M. Davis

University of Chicago

Nasrrddine Youbi

Cadi Ayyad University

Joel A. Baker

University of Auckland

Andrea Marzoli

University of Padua

David G. Weisz

Lawrence Livermore National Laboratory

Cooperative Institutions

Lawrence Livermore National Laboratory

Centre National de la Recherche Scientifique

Planetary Science Institute

University of California, Davis

Lawrence Livermore National Security

University of California, Berkeley

University of Chicago

University of Illinois Urbana-Champaign

Argonne National Laboratory

Los Alamos National Laboratory

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Experimental determination of Zn isotope fractionation during evaporative loss at extreme temperatures

Geochimica et Cosmochimica Acta (2019)

Josh Wimpenny Naomi Marks Kim B. Knight John M. Rolison L. E. Borg

Equilibrium fractionation

Mass-independent fractionation

Isotopes of zinc

Volatiles

10.1016/j.gca.2019.06.016

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Citations (41)

Paleomagnetism and 40Ar/39Ar Geochronology of Yemeni Oligocene volcanics: Implications for timing and duration of Afro-Arabian traps and geometry of the Oligocene paleomagnetic field

Earth and Planetary Science Letters (2005)

Peter Riisager Kim B. Knight Joel A. Baker Ingrid Ukstins Peate Mohamed Al-Kadasi

Geochronology

Magnetostratigraphy

10.1016/j.epsl.2005.06.016

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Citations (41)

Comment on “Synchrony between the Central Atlantic magmatic province and the Triassic–Jurassic mass-extinction event? By Whiteside et al. (2007)”

Palaeogeography Palaeoclimatology Palaeoecology (2008)

Andrea Marzoli Hervé Bertrand Kim B. Knight Simonetta Cirilli Sébastien Nomade

Boulevard

10.1016/j.palaeo.2008.01.016

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Citations (24)

Stochastic optimization of a uranium oxide reaction mechanism using plasma flow reactor measurements

Scientific Reports (2023)

Mikhail Finko Batikan Köroğlu Kate Rodriguez Timothy P. Rose Jonathan C. Crowhurst

Abstract In this work, a coupled Monte Carlo Genetic Algorithm (MCGA) approach is used to optimize a gas phase uranium oxide reaction mechanism based on plasma flow reactor (PFR) measurements. The PFR produces a steady Ar plasma containing U, O, H, and N species with high temperature regions (3000–5000 K) relevant to observing UO formation via optical emission spectroscopy. A global kinetic treatment is used to model the chemical evolution in the PFR and to produce synthetic emission signals for direct comparison with experiments. The parameter space of a uranium oxide reaction mechanism is then explored via Monte Carlo sampling using objective functions to quantify the model-experiment agreement. The Monte Carlo results are subsequently refined using a genetic algorithm to obtain an experimentally corroborated set of reaction pathways and rate coefficients. Out of 12 reaction channels targeted for optimization, four channels are found to be well constrained across all optimization runs while another three channels are constrained in select cases. The optimized channels highlight the importance of the OH radical in oxidizing uranium in the PFR. This study comprises a first step toward producing a comprehensive experimentally validated reaction mechanism for gas phase uranium molecular species formation.

Oxidizing agent

Uranium oxide

Reaction rate

10.1038/s41598-023-35355-6

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Citations (1)

Deposition of vaporized species onto glassy fallout from a near-surface nuclear test

Geochimica et Cosmochimica Acta (2016)

David G. Weisz Ben Jacobsen Naomi Marks Kim B. Knight Brett H. Isselhardt

Deposition

Surface layer

Vaporization