Dr  Kirill Glavatskiy

Dr Kirill Glavatskiy

Lecturer

School of Information and Physical Sciences (Data Science and Statistics)

Career Summary

Biography

I specialize in mathematical and computational modelling in the domains of Statistical Physics, Sociophysics, and Chemical Engineering. I investigate how complex patterns emerge from irreversible dynamics of natural, social, industrial systems and vice versa, how the evolution of these systems is driven by their internal structure and the external environment. My aim is to understand collective behavior and self-organization that emerge from individual interactions of a large number of agents. I develop and solve mathematical and data driven models of such phenomena, revealing the origins of their observed behavior and making practical predictions.


Qualifications

  • P;hilosophiae Doctor, Norwegian University of Science and Technology

Keywords

  • agent-based modelling
  • chemical engineering
  • data science
  • density functional theory
  • dynamical systems
  • information thermodynamics
  • irreversible thermodynamics
  • mathematical modelling
  • multiphase systems
  • numerical modelling
  • physical chemistry
  • population mobility
  • porous media
  • simulations
  • sociophysics
  • statistical mechanics
  • variational optimization

Languages

  • Ukrainian (Fluent)
  • Norwegian (Working)
  • English (Fluent)

Fields of Research

Code Description Percentage
460202 Autonomous agents and multiagent systems 20
490206 Statistical mechanics, physical combinatorics and mathematical aspects of condensed matter 20
340609 Transport properties and non-equilibrium processes 20
460207 Modelling and simulation 20
401210 Microfluidics and nanofluidics 20

Professional Experience

UON Appointment

Title Organisation / Department
Lecturer University of Newcastle
School of Information and Physical Sciences
Australia
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Publications

For publications that are currently unpublished or in-press, details are shown in italics.


Book (1 outputs)

Year Citation Altmetrics Link
2011 Glavatskiy K, Multicomponent Interfacial Transport, Springer Berlin Heidelberg (2011)
DOI 10.1007/978-3-642-15266-5

Journal article (31 outputs)

Year Citation Altmetrics Link
2022 Glavatskiy K, Kalloniatis AC, 'Fisher Information and synchronisation transitions: A case-study of a finite size multi-network Kuramoto Sakaguchi system', Physica A: Statistical Mechanics and its Applications, 594 (2022) [C1]

We analyse a Kuramoto¿Sakaguchi dynamics on a two-layer multi-network using the Fisher Information which has been demonstrated in a variety of complex dynamical and thermodynamic ... [more]

We analyse a Kuramoto¿Sakaguchi dynamics on a two-layer multi-network using the Fisher Information which has been demonstrated in a variety of complex dynamical and thermodynamic systems to provide a lens on critical behaviour and transitions to chaos. Here we use a case-study, introduced elsewhere and thus providing a baseline, of multi-networks consisting of tree and random graphs with couplings and frequencies set at values in the vicinity of thresholds for locking, metastable and chaotic states. We observe transitions in the two-dimensional space of the frustrations in the cross-network interactions of the multi-layer system. While the Shannon entropy consistently identifies a range of transitions, the Fisher Information detects additional signals corresponding to significant changes in the microscopic dynamics. We argue that Fisher Information provides a single measure to analyse rich coupled dynamics and to detect meaningful transitions in a finite-size system that otherwise require multiple measures to establish. We support this analysis using a novel semi-analytical steady-state ansatz incorporating splay phase parameters, where the stability analysis concurs with key changes in the Fisher Information.

DOI 10.1016/j.physa.2022.127059
2021 Slavko B, Glavatskiy KS, Prokopenko M, 'Revealing configurational attractors in the evolution of modern Australian and US cities', Chaos, Solitons and Fractals, 148 (2021) [C1]

The spatial structure of modern cities exhibits highly diverse patterns and keeps evolving under numerous constraints and sustainability demands. However, it is unclear if there a... [more]

The spatial structure of modern cities exhibits highly diverse patterns and keeps evolving under numerous constraints and sustainability demands. However, it is unclear if there are fundamental physical constraints guiding the evolution of cities. Here, we offer a concise model revealing key invariants within urban forms shaped by human resettlement over the years. In doing so, we assess the heterogeneity and spreading of population density in 25 Australian and 175 US cities. We observe that larger cities tend to form a cluster with low spreading and high heterogeneity, and explain this observation using dynamic properties of the intra-urban migration in these cities. As a result, we report three distinct feasible phases of urban structures: uniform, monocentric, and polycentric, separated by abrupt regime shifts. We demonstrate that transitions between these phases, resulting from the population redistribution, are not necessarily driven by external factors (such as city growth) and can exist even in a closed system. Our analysis reveals that the set of all possible equilibrium configurations (¿configurational attractors¿) form a narrow region in the heterogeneityspreading space, thus explaining the emergence of clustering patterns.

DOI 10.1016/j.chaos.2021.111079
Citations Scopus - 1Web of Science - 1
2021 Slavko B, Prokopenko M, Glavatskiy KS, 'Diffusive resettlement: Irreversible urban transitions in closed systems', Entropy, 23 1-26 (2021) [C1]

We propose a non-equilibrium framework for modelling the evolution of cities, which describes intra-urban migration as an irreversible diffusive process. We validate this framewor... [more]

We propose a non-equilibrium framework for modelling the evolution of cities, which describes intra-urban migration as an irreversible diffusive process. We validate this framework using the actual migration data for the Australian capital cities. With respect to the residential relocation, the population is shown to be composed of two distinct groups, exhibiting different relocation frequencies. In the context of the developed framework, these groups can be interpreted as two components of a binary fluid mixture, each with its own diffusive relaxation time. Using this approach, we obtain longterm predictions of the cities¿ spatial structures, which define their equilibrium population distribution.

DOI 10.3390/e23010066
Citations Scopus - 1Web of Science - 1
2021 Evans BP, Glavatskiy K, Harre MS, Prokopenko M, 'The impact of social influence in Australian real estate: market forecasting with a spatial agent-based model', JOURNAL OF ECONOMIC INTERACTION AND COORDINATION, 18 5-57 (2021) [C1]
DOI 10.1007/s11403-021-00324-7
Citations Scopus - 6Web of Science - 7
2021 Harre MS, Eremenko A, Glavatskiy K, Hopmere M, Pinheiro L, Watson S, Crawford L, 'Complexity Economics in a Time of Crisis: Heterogeneous Agents, Interconnections, and Contagion', SYSTEMS, 9 (2021) [C1]
DOI 10.3390/systems9040073
Citations Scopus - 6Web of Science - 4
2021 Glavatskiy KS, Prokopenko M, Carro A, Ormerod P, Harré M, 'Explaining herding and volatility in the cyclical price dynamics of urban housing markets using a large-scale agent-based model', SN Business & Economics, 1 (2021) [C1]
DOI 10.1007/s43546-021-00077-2
2020 Slavko B, Glavatskiy K, Prokopenko M, 'City structure shapes directional resettlement flows in Australia', SCIENTIFIC REPORTS, 10 (2020) [C1]
DOI 10.1038/s41598-020-65208-5
Citations Scopus - 14Web of Science - 13
2019 Bacchin P, Glavatskiy K, Gerbaud V, 'Interfacially driven transport theory: A way to unify Marangoni and osmotic flows', Physical Chemistry Chemical Physics, 21 10114-10124 (2019) [C1]

We show that the solvent behaviour in both diffusio-osmosis and Marangoni flow can be derived from a simple model of colloid-interface interactions. We demonstrate that the direct... [more]

We show that the solvent behaviour in both diffusio-osmosis and Marangoni flow can be derived from a simple model of colloid-interface interactions. We demonstrate that the direction of the flow is regulated by a single value of the attractive parameter covering the purely repulsive and attractive-repulsive interaction cases. The proposed universality between diffusio-osmosis and Marangoni flow is extended further to include diffusio-phoresis. In particular, an object immersed to a colloidal solution moves towards the low concentration of the colloidal particles in the case of colloid-interface repulsion and towards the high concentration of the colloidal particles in the case of colloid-interface attraction. The approach combines the methods of fluid dynamics, molecular physics and transport phenomena and provides a tractable explanation of how the colloid-interface interactions affect the momentum balance and the transport phenomena (interfacially driven transport).

DOI 10.1039/c9cp00999j
Citations Scopus - 5Web of Science - 3
2019 Slavko B, Glavatskiy K, Prokopenko M, 'Dynamic resettlement as a mechanism of phase transitions in urban configurations', PHYSICAL REVIEW E, 99 (2019) [C1]
DOI 10.1103/PhysRevE.99.042143
Citations Scopus - 15Web of Science - 14
2017 Glavatskiy KS, Bhatia SK, 'Effect of pore size on the interfacial resistance of a porous membrane', Journal of Membrane Science, 524 738-745 (2017) [C1]

Fluid transport through nanoporous membranes is subject to additional resistance at the membrane interface, a large part of which is due to the difference in thermodynamic states ... [more]

Fluid transport through nanoporous membranes is subject to additional resistance at the membrane interface, a large part of which is due to the difference in thermodynamic states of the fluid inside and outside the membrane. The state of the fluid confined within a membrane depends on the size of the nanopores, which results in a corresponding dependence of the interfacial resistance. We investigate here the dependence of the thermodynamic resistance on the radius of the nanopore and the thickness of the pore wall, considering the transport of carbon dioxide and methane through carbon nanotubes of radii between 4¿Å and 50¿Å at room temperature, and a wide range of pressures. We find that the thermodynamic resistance strongly depends on the state of the fluid adsorbed in the membrane, which is determined by the size of the pores and the external pressure. In particular, for narrow micropores the thermodynamic resistance has two pressure regimes, being constant at low pressures and increasing gradually at high pressures. Furthermore, moderate and wide pores allow presence of multiple fluid phases with distinct condensation. In the corresponding pressure range the thermodynamic resistance is subjected to large fluctuations, which are not observed for small pores. Furthermore, our results reveal strong dependence of the thermodynamic resistance on the pore radius for very narrow pores and large pressures, when the state of the fluid inside of the membrane is most different from that of the external bulk fluid, with the resistance increasing with decrease in pore radius. Our results also indicate that analyzing the pore size dependence of the interfacial resistance makes it possible to distinguish the contribution of the thermodynamic resistance from the other sources of resistance to fluid flow through the membrane, in particular, the hydrodynamic resistance and the internal resistance.

DOI 10.1016/j.memsci.2016.11.062
Citations Scopus - 16Web of Science - 11
2016 Glavatskiy KS, Bhatia SK, '"Thermodynamic Resistance to Matter Flow at The Interface of a Porous Membrane" (vol 32, pg 3400, 2016)', LANGMUIR, 32 8288-8288 (2016)
DOI 10.1021/acs.langmuir.6b02523
2016 Glavatskiy KS, Bhatia SK, 'Thermodynamic Resistance to Matter Flow at the Interface of a Porous Membrane', Langmuir, 32 3400-3411 (2016) [C1]

Nanoporous materials are important in industrial separation, but their application is subject to strong interfacial barriers to the entry and transport of fluids. At certain condi... [more]

Nanoporous materials are important in industrial separation, but their application is subject to strong interfacial barriers to the entry and transport of fluids. At certain conditions the fluid inside and outside the nanoporous material can be viewed as a two-phase system, with an interface between them, which poses an excess resistance to matter flow. We show that there exist two kinds of phenomena which influence the interfacial resistance: hydrodynamic effects and thermodynamic effects, which are independent of each other. Here, we investigate the role of the thermodynamic effects in carbon nanotubes (CNTs) and slit pores and compare the associated thermodynmic resistance with that due to hydrodynamic effects traditionally modeled by the established Sampson expression. Using CH4 and CO2 as model fluids, we show that the thermodynamic resistance is especially important for moderate to high pressures, at which the fluid within the CNT or slit pore is in the condensed state. Further, we show that at such pressures the thermodynamic resistance becomes comparable with the internal resistance to fluid transport at length scales typical of membranes used in fuel cells, and of importance in membrane-based separation, and nanofluidics in general.

DOI 10.1021/acs.langmuir.6b00375
Citations Scopus - 23Web of Science - 24
2015 Glavatskiy KS, 'Lagrangian formulation of irreversible thermodynamics and the second law of thermodynamics', JOURNAL OF CHEMICAL PHYSICS, 142 (2015)
DOI 10.1063/1.4921558
Citations Scopus - 8Web of Science - 6
2015 Glavatskiy KS, 'Local equilibrium and the second law of thermodynamics for irreversible systems with thermodynamic inertia', JOURNAL OF CHEMICAL PHYSICS, 143 (2015)
DOI 10.1063/1.4933431
Citations Scopus - 4Web of Science - 3
2015 Ning FL, Glavatskiy K, Ji Z, Kjelstrup S, Vlugt TJH, 'Compressibility, thermal expansion coefficient and heat capacity of CH4 and CO2 hydrate mixtures using molecular dynamics simulations', PHYSICAL CHEMISTRY CHEMICAL PHYSICS, 17 2869-2883 (2015)
DOI 10.1039/c4cp04212c
Citations Scopus - 87Web of Science - 71
2015 Glavatskiy KS, Dalton BA, Daivis PJ, Todd BD, 'Nonlocal response functions for predicting shear flow of strongly inhomogeneous fluids. I. Sinusoidally driven shear and sinusoidally driven inhomogeneity', PHYSICAL REVIEW E, 91 (2015)
DOI 10.1103/PhysRevE.91.062132
Citations Scopus - 13Web of Science - 11
2015 Dalton BA, Glavatskiy KS, Daivis PJ, Todd BD, 'Nonlocal response functions for predicting shear flow of strongly inhomogeneous fluids. II. Sinusoidally driven shear and multisinusoidal inhomogeneity', PHYSICAL REVIEW E, 92 (2015)
DOI 10.1103/PhysRevE.92.012108
Citations Scopus - 13Web of Science - 12
2014 Glavatskiy KS, Bedeaux D, 'Curvature dependence of the interfacial heat and mass transfer coefficients', JOURNAL OF CHEMICAL PHYSICS, 140 (2014)
DOI 10.1063/1.4867285
Citations Scopus - 4Web of Science - 5
2014 van Erp TS, Trinh T, Kjelstrup S, Glavatskiy KS, 'On the relation between the langmuir and thermodynamic flux equations', Frontiers in Physics, 1 (2014)

Despite its approximative nature, the Langmuir theory has shown to be a very successful approach to describe experimental adsorption isotherms. Langmuir kinetics is based on syste... [more]

Despite its approximative nature, the Langmuir theory has shown to be a very successful approach to describe experimental adsorption isotherms. Langmuir kinetics is based on systems of non-interacting particles that can transfer from the gas phase to the adsorbed phase with a transition flux that depends both on the gas pressure and surface coverage. Recent molecular simulation results suggest, however, that some systems can have isotherms that are apparently Langmuirian while the kinetics are not. This remarkably result seems to question the interpretation of innumerous adsorption experiments. The observed anomalous kinetics were described by thermodynamic rate equations giving exactly the same isotherms. Unidirectional rates, as obtained from mesoscopic non-equilibrium theory, correct for the non-ideality of matter using activities instead of concentrations and seem to suggest that fluxes from phase A to another phase B only depends on the properties of phase A alone. In this article we show, however, that the theories and simulations are actually consistent when the following two points are taken into account. The first point is methodological and related to how one should count crossing events considering the presence of possible correlations. The second point is theoretical and related to the microscopic link between the Langmuir and thermodynamic rate theory. Specifically, we show how to define diffusion and activity coefficients at the border of the gas/solid interface. If both points are taken into account, there is neither a contradiction between both theories, nor with the molecular simulation results.

DOI 10.3389/fphy.2013.00036
Citations Scopus - 11
2013 Glavatskiy KS, Reguera D, Bedeaux D, 'Effect of compressibility in bubble formation in closed systems', JOURNAL OF CHEMICAL PHYSICS, 138 (2013)
DOI 10.1063/1.4807323
Citations Scopus - 11Web of Science - 11
2013 Dalton BA, Glavatskiy KS, Daivis PJ, Todd BD, Snook IK, 'Linear and nonlinear density response functions for a simple atomic fluid', JOURNAL OF CHEMICAL PHYSICS, 139 (2013)
DOI 10.1063/1.4816514
Citations Scopus - 12Web of Science - 11
2013 Glavatskiy K, Pharoah JG, Kjelstrup S, 'Thermal phenomena associated with water transport across a fuel cell membrane: Soret and Dufour effects', JOURNAL OF MEMBRANE SCIENCE, 431 96-104 (2013)
DOI 10.1016/j.memsci.2012.12.023
Citations Scopus - 14Web of Science - 12
2013 Glavatskiy K, Bedeaux D, 'Non-equilibrium thermodynamics for surfaces; square gradient theory', EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS, 222 161-175 (2013)
DOI 10.1140/epjst/e2013-01833-0
Citations Scopus - 4Web of Science - 1
2012 Savin T, Glavatskiy KS, Kjelstrup S, Oettinger HC, Bedeaux D, 'Local equilibrium of the Gibbs interface in two-phase systems', EPL, 97 (2012)
DOI 10.1209/0295-5075/97/40002
Citations Scopus - 27Web of Science - 23
2012 Glavatskiy KS, Vlugt TJH, Kjelstrup S, 'Toward a Possibility To Exchange CO2 and CH4 in sI Clathrate Hydrates', JOURNAL OF PHYSICAL CHEMISTRY B, 116 3745-3753 (2012)
DOI 10.1021/jp2119586
Citations Scopus - 24Web of Science - 21
2012 Ning F, Yu Y, Kjelstrup S, Vlugt TJH, Glavatskiy K, 'Mechanical properties of clathrate hydrates: status and perspectives', ENERGY & ENVIRONMENTAL SCIENCE, 5 6779-6795 (2012)
DOI 10.1039/c2ee03435b
Citations Scopus - 172Web of Science - 135
2011 Glavatskiy KS, Bedeaux D, 'Nonequilibrium properties of a two-dimensionally isotropic interface in a two-phase mixture as described by the square gradient model (vol 77, 061101, 2008)', PHYSICAL REVIEW E, 83 (2011)
DOI 10.1103/PhysRevE.83.019902
Citations Web of Science - 1
2010 Glavatskiy KS, Bedeaux D, 'Transport of heat and mass in a two-phase mixture: From a continuous to a discontinuous description', JOURNAL OF CHEMICAL PHYSICS, 133 (2010)
DOI 10.1063/1.3486555
Citations Scopus - 21Web of Science - 17
2010 Glavatskiy KS, Bedeaux D, 'Resistances for heat and mass transfer through a liquid-vapor interface in a binary mixture', JOURNAL OF CHEMICAL PHYSICS, 133 (2010)
DOI 10.1063/1.3518368
Citations Scopus - 13Web of Science - 17
2009 Glavatskiy KS, Bedeaux D, 'Numerical solution of the nonequilibrium square-gradient model and verification of local equilibrium for the Gibbs surface in a two-phase binary mixture', PHYSICAL REVIEW E, 79 (2009)
DOI 10.1103/PhysRevE.79.031608
Citations Scopus - 23Web of Science - 29
2008 Glavatskiy KS, Bedeaux D, 'Nonequilibrium properties of a two-dimensionally isotropic interface in a two-phase mixture as described by the square gradient model', PHYSICAL REVIEW E, 77 (2008)
DOI 10.1103/PhysRevE.77.061101
Citations Scopus - 22Web of Science - 23
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Conference (1 outputs)

Year Citation Altmetrics Link
2017 Maslechko A, Glavatskiy K, Kulinskii VL, 'Surface tension of molecular liquids: Lattice gas approach', Journal of Molecular Liquids, Kyiv, Ukraine (2017) [E1]
DOI 10.1016/j.molliq.2016.11.103
Citations Scopus - 5Web of Science - 3
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Dr Kirill Glavatskiy

Position

Lecturer
Data Science and Statistics
School of Information and Physical Sciences
College of Engineering, Science and Environment

Focus area

Data Science and Statistics

Contact Details

Email kirill.glavatskiy@newcastle.edu.au

Office

Room SR-117
Building SR
Location Callaghan
University Drive
Callaghan, NSW 2308
Australia
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