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Match template molecules to nearest neighbor molecules in local structure. Minimize RMSD Contour plots of the relative frequency distribution of RMSD order parameters of bulk glycine crystals after a 10 ns MD trajectory. Contour scaling is logarithmic, starting at e -6 and increasing by a factor of e with each contour. RMSD order parameters distinguish each glycine polymorph. Shetty et al. developed a pattern matching approach using templates based on the nearest neighbor of a known crystal structure. A Monte Carlo search was used to find the best match between the template and the local structure. 7 Matching algorithm Nathan Duff and Baron Peters Department of Chemical Engineering, University of California, Santa Barbara, Santa Barbara, CA, 93106-5080 Surface melted layer of solvated nuclei References This Work: 1. N. Duff and B. Peters, J. Chem. Phys. 135, 134101 (2011). 2. P. R. ten Wolde, M. J. Ruiz-Montero, and D. Frenkel, J. Chem. Phys. 104, 9932 (1996). 3. G. T. Beckham and B. Peters, J. Phys. Chem Lett. 2,1133 (2011). 4. W. Lechner and C. Dellago, J. Chem. Phys. 129, 114707 (2008). 5. E. E. Santiso and B. L. Trout, J. Chem. Phys. 134, 064109 (2011). 6. A. S. Keys, C. R. Iacovella, and S. C. Glotzer, Annu. Rev. Condens. Matter Phys. 2, 263 (2011). 7. R. Shetty, F. A. Escobedo, D. Choudhary, and P. Clancy, J. Chem. Phys. 117, 4000 (2002). 8. W. Kabsch, Acta Crystallogr. Sect. A 32, 922 (1976). RMSD based OP for bulk crystal Average RMSD order parameters as a function of distance between glycine molecules in the cluster and the oxygen in the nearest water molecule (r wat ). <q> represents <q α > for the α-glycine cluster and <q γ > for the γ-glycine cluster. Both are averaged over a 20 ns MD trajectory. This work was supported by NSF CAREER Award No. 0955502 and by the Institute for Multiscale Materials Simulations (IMMS) at the Los Alamos National Laboratory. We thank Michael Lovette, Michael Doherty, and Daniel Hooks for stimulating discussions. Acknowledgments Structural order parameters Spherical harmonic finger prints 6 Inter molecular coordinates 5 Lennard-Jones crystal nucleation 3 Lennard-Jones polymorph identification 4 q i =RMSD score for polymorph i Low q i =Template match to polymorph i Molecular pruning For glycine we remove hydrogen atoms since they contribute little important structural information. The π rotational symmetry of the CO 2 group of glycine is removed with a dummy atom which replaces the two oxygens in a way that loses essentially no conformational information. 1. Remove hydrogens 2. Parameterization of oxygen atoms 1. Remove hydrogens 2. Parameterization of Two stage matching in local structure. Minimize RMSD Examine local structure around tagged molecule Minimize RMSD between tagged molecules in template and system Glycine crystal structure Glycine forms a zwitterion in solution and in the crystal structures Glycine forms three polymorphs at ambient conditions Thermodynamic stability: γ-glycine > α-glycine > β-glycine α-glycine forms first out of aqueous solution Template based RMSD OP Compare a set of templates of the known polymorphs to the local environment of each molecule in the simulation Use the Kabsch algorithm 8 to find the rotation that minimizes RMSD between the template and the local environment The RMSD value for each polymorph template is the local polymorph specific order parameter value Glycine template matching liquid solid Crystal nucleation and growth involves structural changes that are often described by order parameters. Order parameters differentiate phases according to their microscopic structural characteristics. Simulations using structural order parameters have provided mechanistic insight into the nucleation of crystals in simple liquids, colloids, proteins, ice, methane hydrates, and carbonates. Controlling polymorphism is important in pharmaceutical crystallization. Mechanistic studies of polymorph selection require coordinates which can distinguish polymorphs. More general frameworks for order parameters have been developed for complex systems utilizing inter and intra molecular coordinates, 5 and combinations of spherical harmonic order parameters. 6 Template matching 7 Steinhardt order parameters, as extended by Frenkel and coworkers, 1 can differentiate liquid from solid for studies of crystal nucleation in simple liquids, proteins, and colloids. Recently local averaging of these order parameters was used to differentiate the BCC, FCC, and HCP polymorphs in a Lennard-Jones fluid. 4 Dummy oxygen atom Polymorph Template # Score (Å) α 1 1.86 2 1.74 3 1.74 4 1.60 γ 1 0.39 2 0.84 3 0.84 β 1 2.27 2 2.27 Use the matching algorithm to compare the local environment of each glycine molecule to templates for each glycine molecule in the unit cell of each polymorph. The lowest RMSD score among templates for all polymorphs is the polymorph specific order parameter value. Snapshots of thermally equilibrated bulk α-, β-, and γ-glycine polymorphs after a 10 ns MD trajectory. Molecules colored gray represent q > 1.0 Å for the expected polymorph. α-glycine β-glycine γ-glycine Contour plots of the relative frequency distribution of RMSD order parameters vs. local glycine molecule density (ρ) of solvated glycine crystallites (identified by local density) after a 20 ns MD trajectory at 300 K. Contour scaling is logarithmic, starting at e -6 and increasing by a factor of e with each contour. Regions of low glycine density lack crystalline order. α-glycine Solvated crystallites γ-glycine surface melted layers Surface melted layer thickness Is polymorph selection related to surface melted layer thickness? γ-glycine α-glycine β-glycine Simulation box Polymorph 1 Polymorph 2 Mismatch Match RMSD based order parameters require an atom by atom correspondence. Comparing all possible combinations of atoms is computationally expensive. We resolve this problem through molecular pruning and two stage matching procedures. The r wat at which <q> increases is smaller for the α-glycine crystallite than the γ-glycine crystallite, indicating that the melted layer in the α-glycine crystallite is thinner than for the γ-glycine crystallite. α-glycine forms first out of aqueous solution despite a smaller bulk driving force to a – suggests smaller interfacial energy γ-glycine has a thick surface melted layer, perhaps passivating an unfavorable interface between γ-glycine and water.

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Page 1: ˘ˇ ˆ˙ - UCSB College of Engineering

Match template molecules to nearest neighbor molecules

in local structure.

Minimize RMSD

Contour plots of the relative frequency distribution of RMSD order parameters of bulk glycine crystals after a 10 ns MD trajectory. Contour scaling is logarithmic, starting at e-6 and increasing by a factor of e with each contour. RMSD order parameters distinguish each glycine polymorph.

•  Shetty et al. developed a pattern matching approach using templates based on the nearest neighbor of a known crystal structure. A Monte Carlo search was used to find the best match between the template and the local structure.7

Matching algorithm

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Nathan Duff and Baron Peters Department of Chemical Engineering, University of California, Santa Barbara, Santa Barbara, CA, 93106-5080

Surface melted layer of solvated nuclei

References This Work: 1. N. Duff and B. Peters, J. Chem. Phys. 135, 134101 (2011).

2. P. R. ten Wolde, M. J. Ruiz-Montero, and D. Frenkel, J. Chem. Phys. 104, 9932 (1996).

3. G. T. Beckham and B. Peters, J. Phys. Chem Lett. 2,1133 (2011). 4. W. Lechner and C. Dellago, J. Chem. Phys. 129, 114707 (2008). 5. E. E. Santiso and B. L. Trout, J. Chem. Phys. 134, 064109 (2011). 6. A. S. Keys, C. R. Iacovella, and S. C. Glotzer, Annu. Rev. Condens.

Matter Phys. 2, 263 (2011). 7. R. Shetty, F. A. Escobedo, D. Choudhary, and P. Clancy, J. Chem.

Phys. 117, 4000 (2002). 8. W. Kabsch, Acta Crystallogr. Sect. A 32, 922 (1976).

RMSD based OP for bulk crystal

Average RMSD order parameters as a function of distance between glycine molecules in the cluster and the oxygen in the nearest water molecule (rwat). <q> represents <qα> for the α-glycine cluster and <qγ> for the γ-glycine cluster. Both are averaged over a 20 ns MD trajectory.

This work was supported by NSF CAREER Award No. 0955502 and by the Institute for Multiscale Materials Simulations (IMMS) at the Los Alamos National Laboratory. We thank Michael Lovette, Michael Doherty, and Daniel Hooks for stimulating discussions.

Acknowledgments

Structural order parameters

Spherical harmonic finger prints6 Inter molecular coordinates5

Lennard-Jones crystal nucleation3

Lennard-Jones polymorph identification4

qi=RMSD score for polymorph i Low qi=Template match to polymorph i Molecular pruning

•  For glycine we remove hydrogen atoms since they contribute little important structural information.

•  The π rotational symmetry of the CO2 group of glycine is removed with a dummy atom which replaces the two oxygens in a way that loses essentially no conformational information.

1. Remove hydrogens

2. Parameterization of oxygen atoms

1. Remove hydrogens

2. Parameterization of

Two stage matching

in local structure.

Minimize RMSD

Examine local structure around tagged molecule

Minimize RMSD between tagged molecules in template and system

Glycine crystal structure •  Glycine forms a zwitterion in solution and in the crystal structures

•  Glycine forms three polymorphs at ambient conditions

•  Thermodynamic stability: γ-glycine > α-glycine > β-glycine

•  α-glycine forms first out of aqueous solution

Template based RMSD OP •  Compare a set of templates of the known polymorphs to the local

environment of each molecule in the simulation •  Use the Kabsch algorithm8 to find the rotation that minimizes RMSD

between the template and the local environment •  The RMSD value for each polymorph template is the local

polymorph specific order parameter value

Glycine template matching

liquid solid

•  Crystal nucleation and growth involves structural changes that are often described by order parameters. Order parameters differentiate phases according to their microscopic structural characteristics. Simulations using structural order parameters have provided mechanistic insight into the nucleation of crystals in simple liquids, colloids, proteins, ice, methane hydrates, and carbonates.

•  Controlling polymorphism is important in pharmaceutical crystallization. Mechanistic studies of polymorph selection require coordinates which can distinguish polymorphs.

•  More general frameworks for order parameters have been developed for complex systems utilizing inter and intra molecular coordinates,5 and combinations of spherical harmonic order parameters.6

Template matching7

•  Steinhardt order parameters, as extended by Frenkel and coworkers,1 can differentiate liquid from solid for studies of crystal nucleation in simple liquids, proteins, and colloids. Recently local averaging of these order parameters was used to differentiate the BCC, FCC, and HCP polymorphs in a Lennard-Jones fluid.4

Dummy oxygen atom

Polymorph Template # Score (Å)

α

1 1.86 2 1.74 3 1.74 4 1.60

γ 1 0.39 2 0.84 3 0.84

β 1 2.27 2 2.27

•  Use the matching algorithm to compare the local environment of each glycine molecule to templates for each glycine molecule in the unit cell of each polymorph.

•  The lowest RMSD score among templates for all polymorphs is the polymorph specific order parameter value.

Snapshots of thermally equilibrated bulk α-, β-, and γ-glycine polymorphs after a 10 ns MD trajectory. Molecules colored gray represent q > 1.0 Å for the expected polymorph.

α-glycine β-glycine γ-glycine

Contour plots of the relative frequency distribution of RMSD order parameters vs. local glycine molecule density (ρ) of solvated glycine crystallites (identified by local density) after a 20 ns MD trajectory at 300 K. Contour scaling is logarithmic, starting at e-6 and increasing by a factor of e with each contour. Regions of low glycine density lack crystalline order.

α-glycine Solvated crystallites

γ-glycine

surface melted layers

Surface melted layer thickness

Is polymorph selection

related to surface melted layer thickness?

γ-glycine α-glycine β-glycine

Simulation box Polymorph 1

Polymorph 2

Mismatch

Match

•  RMSD based order parameters require an atom by atom correspondence. Comparing all possible combinations of atoms is computationally expensive.

•  We resolve this problem through molecular pruning and two stage matching procedures.

•  The rwat at which <q> increases is smaller for the α-glycine crystallite than the γ-glycine crystallite, indicating that the melted layer in the α-glycine crystallite is thinner than for the γ-glycine crystallite.

•  α-glycine forms first out of aqueous solution despite a smaller bulk driving force to a – suggests smaller interfacial energy

•  γ-glycine has a thick surface melted layer, perhaps passivating an unfavorable interface between γ-glycine and water.