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This study explores the phase behavior of methane (CH4) clusters through molecular dynamics (MD) simulations, focusing on the state of nano-sized particles in contact with surfaces. Key findings include the charge dependence of interaction potentials and how the ordering of molecular clusters changes with temperature. Results reveal that dimers with specific anti-ferro orientations significantly influence cluster ordering at low temperatures. Additionally, the study establishes the transition from liquid-like to solid-like behavior as cluster size and temperature vary, contributing valuable insights to fields such as biology and environmental science.
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Phase behavior of Methane Clusters from MD Calculations Ana Proykova University of Sofia Gordon Research Conference on Molecular & Ionic Clusters Centre Paul Langevin, Aussois, France September, 7, 2004
Interest in: • What is the actual state (liquid or solid) of a nano-sized particle in a contact with a surface? • Charge dependence of the interaction potential Important for Biology (penetration of gases into cells), Green-house effect, clathrates One way to answer these questions is a simulation of clusters of various atoms and molecules, interacting with different potentials
Local icosahedral ordering in the liquid phase - Franck • the structure of atomic liquids and glasses has a polytetrahedral arrangement Is it true for molecular systems? Generally – no! Clusters of octahedral molecules pack in solid structures below their freezing point (size dependent)
A toy system: molecular clusters made of octahedral molecules
Normal modes of CH4 (ignored in our MD) • Stretches [A1+T2] 3215 (A1) 3104 (T2) {cm -1} • Bends [E + T2] 1412 (E) 1380 (T2) {cm -1} • T2 modes IR active • All modes are Raman active • The symmetric C–H stretching mode of the CH4 molecule in water is a single peak at 2910{cm -1}with a half-width of approximately 5 {cm -1} • Octopole moments of CH4 estimated from the T dependence of second virial coefficients 3.7 10-34 esu. cm 3
Molecular dynamics simulations at a constant total energy and free cluster surface: velocity Verlet algorithm for solving the classical equations of motion • N - rigid molecules (the lowest frequency 1380 1/cm is much higher than the fastest inter-molecular vibrations < 250 1/cm) • Lennard-Jones (short-range) & Coulomb (long-range) potential – q on the C-atom is negative (0.2 - 1 e)
Range of potential and structure • Long-range – highly strained, highly coordinated, spherical structures : no regular packing. For large size – liquid-like inherent structure • Intermediate ranges – icosahedral structures are dominant • Short – range – decahedral • Very short – fcc structure dominates
Potential energy surface ‘seen’ by a CH4 molecule – aligned CH4-dimer
A cluster of 50 molecules at 10 K: shell-like structure with vibrating molecules
Phase Diagram • High temperature phase: molecular axes are random, rotational and translational diffusion • Low temperature phase: rotational (librational) diffusion • ΔT = |Ttr.p – Tcr.p |→ 0 for N≤50
Numerical diagnostics Radial distribution function Lindemann criterion Normal modes analysis – diagonalization of Hessian
The lowest energy starting configuration (no kinetic energy) of a 55-molecule cluster is the icosahedron
Radial distribution functions (RDF) for selected structures: ‘real’ indicates the RDF for a 55 molecule cluster at 10 K
10 K The most important pattern is the double peak at 4 A:the nearest neighbors form 'anti-aligned 1' dimers
25 K Higher temperature: no doublet; shell-like structure
Double charge: the doublet shrinks into a single peak for all temperatures studied 10 K
What new? • The most important finding in this study is that dimers of molecules with a specific mutual anti-ferro orientation play an important role in cluster ordering at low temperatures. This result – not expected for rigid, globular-like molecules – is probably due to the angular dependence of the interaction.
Increase of melting temperature for larger charges • Same in octahedral molecules
Team • Dr. R. Radev (currently, financial company) • Mr. S. Pisov(U of Sofia – Ass. Prof.) • Ms. E. Daykova(U of Sofia – PhD student) • Mr. H. Iliev(U of Sofia – PhD student)
Acknowledgements • NFS – Bulgaria • U of Sofia – Scientific Grants • European Commission grants for mobility • Resources (EPCC, TRACS) • Discussions with R.S. Berry (U of Chicago)
Thank you for listening and the Chairs of this meeting for selecting the topic