Inna Kurganskaya
Dr. Inna Kurganskaya
GEO Room 5490
Klagenfurter Straße 2-4
28359 Bremen, Germany
Phone: +49 421 218 65226
Email
Computational and mathematical modelling of reactions at mineral- water interfaces across the scales
Kinetic Monte Carlo algorithms development and implementation
- Geochemical scenarios and reactions prerequisite to the origin of life: inorganic pathways for pre-metabolic routes, autocatalytic reaction-transport systems, interaction between minerals and organic compounds
- Self-organization phenomena in geochemical systems
- Cellular Automata modelling of precipitation and transport
- Programming and algorithms for simulations of mesoscale mineral-fluid interaction processes
- Statistical characterization of spatio-temporal reaction rate variance
- Statistical mechanics modelling of dissolution-precipitation feedback loop systems
2016 | Outstanding poster flash presentation award, European Mineralogical Union Mineral Reaction Kinetics school (MRK’16) at the University of Vienna, Austria |
2011 | Outstanding PhD student oral presentation award//ACS CO2 sequestration symposium (242th International ACS Meeting, Geochemistry Division) |
2011 | Outstanding Teaching Assistant, Rice University, Spring 2011 (ESCI101-The Earth) |
Curriculum vitae
Research Positions
since 2024 | Research Scientist for the PROTOS Project, FB05 and MARUM, University of Bremen, Germany |
2018-2024 | Research Scientist and Lecturer, Research Supervisor, FB05 and MARUM, University of Bremen, Germany |
2015-2018 | Postdoctoral Research Assistant, Institute of Geosciences, University of Bern, Switzerland |
2014-2015 | Postdoctoral Research Associate, Earth Science Department, Rice University, United States |
2010-2014 | PhD Student Researcher, Earth Science Department, Rice University, United States |
Education
2013 | PhD, Earth Science, Rice Universitx, Houston, TX, United States. Thesis: A multi-scale approach to study silicate dissolution: Kinetic Monte Carlo simulations and exprimental observations" |
2008 | Master of Science, Geochemistry and geochemical modelling, Moscow State University, Moscow, Russian Federation (summa cum laude) |
2006 | Bachelor of Science, Geochemistry and geochemical modelling, Moscow State University, Moscow, Russian Federation (summa cum laude) |
2001 | High school attestation, State Lyceum of Tuva Republic, an innovative programm for gifted students, specialization in mathematics. (Tuva Republic, Russian Federation) |
Publications
- Kurganskaya I (2024): Dissolution mechanisms and surface charge of clay mineral nanoparticles: Insights from kinetic Monte Carlo simulations. Minerals 14(9), 900.
| doi:10.3390/min14090900 | - Kurganskaya I, Lüttge A (2023): Probability distributions of mineral dissolution rates: the role of lattice defects. Frontiers in Water 5, 1225837.
| doi:10.3389/frwa.2023.1225837 | - Kurganskaya I, Trofimov N, Lüttge A (2022): A kinetic Monte Carlo approach to model barite dissolution: The role of reactive site geometry. Minerals 12(5), 639.
| doi:10.3390/min12050639 | - Lange I, Toro M, Arvidson RS, Kurganskaya I, Lüttge A (2021): The role of crystal heterogeneity in alkali feldspar dissolution kinetics. Geochimica et Cosmochimica Acta 309, 329-351.
| doi:10.1016/j.gca.2021.06.032 | - Kurganskaya I, Niazi NK, Lüttge A (2021): A modeling approach for unveiling adsorption of toxic ions on iron oxide nanocrystals. Journal of Hazardous Materials 417, 126005.
| doi:10.1016/j.jhazmat.2021.126005 | - Kurganskaya I, Lüttge A (2021): Mineral dissolution kinetics: pathways to equilibrium. ACS Earth and Space Chemistry 5(7), 1657-1673.
| doi:10.1021/acsearthspacechem.1c00017 | - Schabernack J, KurganskayaI, Fischer C, Lüttge A (2020): Influence of muscovite (001) surface nanotopography on radionuclide adsorption studied by kinetic Monte Carlo simulations. Minerals 11(5), 468.
| doi:10.3390/min11050468 | - Kurganskaya I, Rohlfs RD (2020): Atomistic to meso-scale modeling of mineral dissolution: methods, challenges and prospects. American Journal of Science 320(1), 1-26.
| doi:10.2475/01.2020.02 | - Trindade Pedrosa E, Kurganskaya I, Fischer C, Lüttge A (2019): A statistical approach for analysis of dissolution rates including surface morphology. Minerals 9(8), 458.
| doi:10.3390/min9080458 | - Lüttge A, Arvidson RS, Fischer C, Kurganskaya I (2019): Kinetic concepts for quantitative prediction of fluid-solid interactions. Chemical Geology 504, 216-235.
| doi:10.1016/j.chemgeo.2018.11.016 | - Kurganskaya I, Churakov SV (2018): Carbonate dissolution mechanisms in the presence of electrolytes revealed by grand canonical and kinetic Monte Carlo modeling. The Journal of Physical Chemistry C 122(51), 29285-29297.
| doi:10.1021/acs.jpcc.8b08986 | - Fischer C, Kurganskaya I, Lüttge A (2018): Inherited control of crystal surface reactivity. Applied Geochemistry 91, 140-148.
| doi:10.1016/j.apgeochem.2018.02.003 | - Rohlfs RD, Fischer C KurganskayaI, Lüttge A (2018): Crystal dissolution kinetics studied by a combination of Monte Carlo and Voronoi methods. Minerals 8(4), 133.
| doi:10.3390/min8040133 | - KurganskayaI, Lüttge A (2016): Kinetic Monte Carlo approach to study carbonate dissolution. The Journal of Physical Chemistry C 120(12), 6482-6492.
| doi:10.1021/acs.jpcc.5b10995 | - Fischer C, Kurganskaya I, Schäfer T, Lüttge A (2014): Variability of crystal surface reactivity: what do we know? Applied Geochemistry 43, 132-157.
| doi:10.1016/j.apgeochem.2014.02.002 | - Kurganskaya I, Lüttge A (2013): Kinetic Monte Carlo simulations of silicate dissolution: model complexity and parametrization. The Journal of Physical Chemistry C 117(47), 24894-24906.
| doi:10.1021/jp408845m | - Kurganskaya I, Lüttge A (2013): A comprehensive stochastic model of phyllosilicate dissolution: Structure and kinematics of etch pits formed on muscovite basal face. Geochimica et Cosmochimica Acta 120, 545-560.
| doi:10.1016/j.gca.2013.06.038 | - Kurganskaya I, Arvidson RS, Fischer C, Lüttge A (2012): Does the stepwave model predict mica dissolution kinetics? Geochimica et Cosmochimica Acta 97, 120-130.
| doi:10.1016/j.gca.2012.08.033 |
- Kurganskaya I, Rohlfs RD, Lüttge A (2024): Multi-scale modeling of crystal-fluid interactions: state-of-the-art, challenges and prospects. In: Wandelt K, Bussetti G (eds.) Encyclopedia of Solid-Liquid Interfaces. Elsevier, pp. 760-792.
| doi:10.1016/B978-0-323-85669-0.00034-9 | - Kurganskaya I (2022): Approaches for stochastic modelling of toxic ion adsorption at crystal-water interfaces: A case study of arsenic. In: Niazi NK, Bibi I, Aftab T (eds.) Global Arsenic Hazard. Environmental Science and Engineering. Springer Cham, pp. 201-221.
| doi:10.1009/978-3-031-16360-9_10 | - Kurganskaya I, Lüttge A, Barron AR (2009): The application of VSI (Vertical Scanning Interferometry) to the study of crystal surface processe . In: Barron (ed.) Physical methods in inorganic and nano chemistry, 1” ed., Connexions, Rice University, Houston, Texas, United States.
- Kurganskaya I (2025): Stochastic Cellular Automata models simulating Early Earth prebiotic self-organization reactions. Goldschmidt Conference 2025, Prague, Czech Republic.
- Kurganskaya I (2025): Mathematical and algorithmic thinking in geochemistry: a stairway to heaven? Goldschmidt Conference 2025, Prague, Czech Republic.
- Kurganskaya I Rohlfs RD, Lüttge A (2025): Patterns in surface morphologies as signatures for underlying kinetic processes. Goldschmidt Conference 2025, Prague, Czech Republic.
- Kurganskaya I (2023): Development and implementation of the Kinetic Monte Carlo algorithms from scratch. Goldschmidt Conference 2023, Prague, Czech Republic.
- Kurganskaya I (2023): Patterns in surface morphologies as signatures for underlying kinetic processes. Goldschmidt Conference 2023, Prague, Czech Republic (Invited Talk).
- Kurganskaya I, Lüttge A (2021): A probabilistic model of geochemical rate distributions for reactive transport modelling. Goldschmidt Conference 2021 (Virtual).
- Kurganskaya I, Lüttge A (2021): Rigorous or practical? A new approach to develop rate laws for mineral dissolution. Goldschmidt Conference 2021 (Virtual).
- Kurganskaya I (2020): Monte Carlo simulations of reactions at mineral surfaces: application to biogenic nano-material. 5th Int. Healthcare and Life Science (HLS) & Entrepreneurship Workshop, University of Pisa, Italy (Invited Talk).
- Kurganskaya I, Lüttge A (2019): Kinetic Monte Carlo simulations of mineral surface reactions: application to biogenic nanomaterials. 3rd International Conference on Bio and Nanomaterials (BIONAM) 2019, Mediterranean Sea.
- Kurganskaya I, Lüttge A (2019): Diversity of Mineral Dissolution Scenarios at the Nanoscale: Mechanistic Insights from Monte Carlo Simulations. Goldschmidt Conference 2019, Barcelona, Spain.
- Kurganskaya I, Lüttge, Fischer A, Arvidson RS, Churakov S (2018): A multi-scale approach to study mineral dissolution: Kinetic Monte Carlo models and experimental observations. Computational Methods in Water Resources XXII: Bridging gaps between models, data and predictions. Saint-Malo, France (Invited).
- Kurganskaya I, Arvidson RS, Fischer C, Churakov S, Lüttge A (2018): Fundamental problems in mineral-fluid reaction kinetics modelling: system size, parameterization, complexity and scalability. GeoBonn 2018 Conference, Bonn, Germany.
- Kurganskaya I, Lüttge A, Churakov S (2017): Molecular mechanisms of carbonate dissolution: surface charge and ionic structure of mineral-water interface. Goldschmidt Conference 2017, Paris, France.
- Kurganskaya I, Fischer A, Arvidson RS, Lüttge, Churakov S (2016): A Computational Study of Carbonate Dissolution Kinetics: How to Deal with the System’s Complexity? 2nd European Mineralogical Conference, Rimini, Italy.
- Kurganskaya I, Fischer A, Arvidson RS, Lüttge, Churakov S (2016): Monte Carlo Approaches to Study Mineral-Water Interface Structure and Reactivity. 15th International Symposium on Experimental Mineralogy, Petrology and Geochemistry, Zurich, Switzerland.
- Fischer C, Kurganskaya I (2014): Synthetic dissolution rate spectra. Goldschmidt Conference 2014, Sacramento, CA, United States.
- Kurganskaya I, Lüttge A (2014): A stochastic approach to study dissolution of carbonates. Goldschmidt Conference 2014, Sacramento, CA, United States.
- Kurganskaya I, Fischer C, Lüttge A (2014): Modeling silicate dissolution at micro-scale using Kinetic Monte Carlo approach: A case study with quartz. Modeling the Interface: Mineralogy, Environment and Energy Applications, 247th American Chemical Society International meeting, Geochemistry Division, Dallas, TX, United States.
- Kurganskaya I, Arvidson RS, Lüttge (2013): QM-parameterization of Kinetic Monte Carlo models for silicate dissolution. Atomistic Computational Geochemistry: Atomic-Level Processes with Macroscopic Implications, 245th American Chemical Society International meeting, Geochemistry Division, New Orleans, LA, United States.
- Kurganskaya I, Arvidson RS, Lüttge (2011): Experimental studies and Kinetic Monte Carlo simulations of phyllosilicate dissolution. Multiscale Spatiotemporal Complexity in Geologic Carbon Sequestration: Linking Experimentation and Modeling, 242th American Chemical Society International meeting, Geochemistry Division, Denver, CO, United States.
- Kurganskaya I (2011): Kinetic Monte Carlo simulations of crystal dissolution using HTC (High Throughput Computing). TeraGrid’11 Conference, 2011, Salt Lake City, Utah (part of the OSG Summer School 2011), United States.
- Kurganskaya I, Arvidson RS, Churakov S, Lütge A (2018): Formulating Kinetic Monte Carlo models of crystal dissolution and growth. GeoBonn 2018 Conference, Bonn, Germany.
- Kurganskaya I, Churakov S (2017): Thermodynamics meets kinetics at atomic scale: surface speciation and mechanistic modelling of surface dissolution. GeoBremen 2017 Conference, Bremen, Germany.
- Kurganskaya I, Lüttge A, Churakov S (2017): A mechanistic model of carbonate dissolution in the presence of electrolytes. GeoBremen 2017 Conference, Bremen, Germany.
- Kurganskaya I, Fischer C, Churakov S (2017): Modelling approaches to identify sources of dissolution rate variability on multiple scales. GeoBremen 2017 Conference, Bremen, Germany.
PhD Thesis
- Kurganskaya I (2013): A multi-scale approach to study silicate dissolution: Kinetic Monte Carlo simulations and experimental observations. PhD Thesis, Rice University, Houston, Texas, Unired States.
Master Thesis
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Bachelor Thesis
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2023: Session 6f Self organization, complexity, and synergetic effects in geochemical systems and geomaterials. Goldschmidt 2023 International conference in geochemistry, Lyon, France.
2023: Computational modelling, programming, and algorithms in geochemistry: Kinetic Monte Carlo, computational geometry, data visualization, and more | 2-DAY HYBRID WORKSHOP, Goldschmidt 2023 workshop, Lyon, France.
2022: Internal workshop on programming and algorithms for PhD students working in KRIMI (Kinetics of Radionuclide Immobilization by co- precipitation in solid solutions) consortium. University of Bremen, Germany.
2020: Session 13b “Environmental Implications and Health Effects of Naturally Occurring and Engineered Micro-/Nanoparticles”. Goldschmidt 2020 International conference in geochemistry (Online).
2019: CECAM (European Center of Atomistic and Molecular calculations) workshop “Current Challenges in transport, growth and dissolution at mineral-fluid interfaces”, Lyon, France (Lyon branch of CECAM) CECAM-FR-RA.
2017: Session 08f “Reactions at the mineral-fluid and mineral-organic interfaces: from molecular mechanisms to macroscopic observations”. Goldschmidt 2017 International conference in geochemistry, Paris, France.
2017: “Mineral-fluid reactions: from rocks to atoms. Computer simulations and models at different scales". Goldschmidt 2017 workshop for young researchers, Paris, France.
Teaching
University of Bremen, Germany (2018-2024)
Lecture course: Scientific writing (Materials Chemistry and Mineralogy)
Lecture course: Introduction to Materials Sciences (physics and chemistry of solid materials, Monte Carlo, Molecular Dynamics and basics of Quantum Mechanics) - (Materials Chemistry and Mineralogy)
International workshops, internal group seminars on practical programing and algorithms. Supervision of Masters’ and PhD students on BMBF projects: Reskin (multi-scale simulations of reservoir kinetics), KRIMI (mineralogical sequestration of nuclear waste), other lab projects: Isabel Lange, Ricarda D Rohlfs, Nikolai Trofimov, Said Amiri, Mathias Peters, Jonas Schabernack, Carolina Santiago
Rice University, Houston, TX, United States (2009-2011)
Teaching Assistant, ESCI 101 The Earth, Department of Earth Science (2010-2011)
Teaching Assistant, CHEM 124 General Chemistry Laboratory I Department of Chemistry (Spring 2009)