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Exploring Energy Landscapes Objective: to exploit stationary points - PowerPoint PPT Presentation

Exploring Energy Landscapes Objective: to exploit stationary points (minima and transition states) of the PES as a computational framework ( J. Phys. Chem. B , 110 , 20765, 2006 ): Basin-hopping for global optimisation ( J. Phys. Chem. A , 101


  1. Exploring Energy Landscapes Objective: to exploit stationary points (minima and transition states) of the PES as a computational framework ( J. Phys. Chem. B , 110 , 20765, 2006 ): • Basin-hopping for global optimisation ( J. Phys. Chem. A , 101 , 5111 1997 ). The landscape is transformed via local minimisation: � E ( X ) = min E ( X ) . Steps are proposed via geometrical perturbations, and accepted or rejected according to criteria such as the change in energy, e.g. via Metropolis. • Basin-sampling for global thermodynamics ( J. Chem. Phys. , 124 , 044102, 2006 ). This approach uses the superposition method, where the total partition function is written as a sum over minima, Z ( T ) = � a Z a ( T ) . • Discrete path sampling for global kinetics ( Mol. Phys. , 100 , 3285, 2002 ). Transition state searches are used to construct a kinetic transition net- work. Rate constants are extracted assuming Markovian dynamics and a unimolecular rate theory for individual minimum-to-minimum transitions.

  2. Exploring Energy Landscapes Objective: to exploit stationary points (minima and transition states) of the PES as a computational framework ( J. Phys. Chem. B , 110 , 20765, 2006 ): • Basin-hopping for global optimisation ( J. Phys. Chem. A , 101 , 5111 1997 ). The landscape is transformed via local minimisation: � E ( X ) = min E ( X ) . Steps are proposed via geometrical perturbations, and accepted or rejected according to criteria such as the change in energy, e.g. via Metropolis. • Basin-sampling for global thermodynamics ( J. Chem. Phys. , 124 , 044102, 2006 ). This approach uses the superposition method, where the total partition function is written as a sum over minima, Z ( T ) = � a Z a ( T ) . • Discrete path sampling for global kinetics ( Mol. Phys. , 100 , 3285, 2002 ). Transition state searches are used to construct a kinetic transition net- work. Rate constants are extracted assuming Markovian dynamics and a unimolecular rate theory for individual minimum-to-minimum transitions.

  3. Thermodynamics for Ala 4 in Vacuum: CHARMM 175 MD REX 170 C v /k B / 2 165 160 superposition 155 1 kcal/mol 150 0 100 200 300 400 500 600 T /K Ala 4 in vacuum (charmm27) has a low temperature C v peak, corresponding to the hundred or so lowest minima in the disconnectivity graph. The high temperature peak corresponds to the finite system analogue of melting.

  4. Thermodynamics for Ala 4 in Vacuum: AMBER 175 170 165 C v /k B / 2 MD REX 160 superposition 155 150 0 100 200 300 400 500 600 T /K 1 kcal/mol Ala 4 in vacuum (amber99sb) appears to be similar to CHARMM.

  5. Thermodynamics for Ala 4 in Vacuum: AMBER 5 kcal/mol 175 170 C v /k B / 2 165 MD REX 160 superposition 155 150 0 100 200 300 400 500 600 T /K In fact, the global minimum for this potential has a mixture of L and D amino acids. The landscape separates into regions with different L/D composition, spearated by barriers of order 90 kcal/mol.

  6. Exploring Energy Landscapes Objective: to exploit stationary points (minima and transition states) of the PES as a computational framework ( J. Phys. Chem. B , 110 , 20765, 2006 ): • Basin-hopping for global optimisation ( J. Phys. Chem. A , 101 , 5111 1997 ). The landscape is transformed via local minimisation: � E ( X ) = min E ( X ) . Steps are proposed via geometrical perturbations, and accepted or rejected according to criteria such as the change in energy, e.g. via Metropolis. • Basin-sampling for global thermodynamics ( J. Chem. Phys. , 124 , 044102, 2006 ). This approach uses the superposition method, where the total partition function is written as a sum over minima, Z ( T ) = � a Z a ( T ) . • Discrete path sampling for global kinetics ( Mol. Phys. , 100 , 3285, 2002 ). Transition state searches are used to construct a kinetic transition net- work. Rate constants are extracted assuming Markovian dynamics and a unimolecular rate theory for individual minimum-to-minimum transitions.

  7. Geometry Optimisation Minimisation: Nocedal’s algorithm, LBFGS, with line searches removed. Transition states: single-ended searches use hybrid eigenvector-following ( ‘De- fect Migration in Crystalline Silicon’, Phys. Rev. B , 59 , 3969, 1999 ); double-ended searches use the doubly-nudged elastic band approach ( J. Chem. Phys ., 120 , 2082, 2004 ; cf. Henkelman and J´ onsson). The GMIN (global optimisation), OPTIM (transition states and pathways) and PATHSAMPLE (discrete path sampling) programs are available under the Gnu General Public License. Access to the svn source can be arranged for devel- opers. Current svn tarball image: http://www-wales.ch.cam.ac.uk. Interfaces to many electronic structure codes are included. Example: split interstitial migration in crystalline silicon ( Chem. Phys. Lett. , 341 , 185, 2001 ).

  8. Discrete Path Sampling ( Mol. Phys. , 100 , 3285, 2002; 102 , 891, 2004 ). a b a b i A A B B I p b ′ ( t ) = p eq p a ′ ( t ) = p eq p a ( t ) p b ( t ) no intervening minima a p i ( t ) = 0 ˙ b p eq p eq a ′ b ′ Phenomenological A ↔ B rate constants can be formulated as sums over discrete paths, defined as sequences of local minima and the transition states that link them, weighted by equilibrium occupation probabilities, p eq b : b p eq C A 1 b = 1 � b p eq � k SS P ai 1 P i 1 i 2 · · · P i n − 1 i n P i n b τ − 1 b AB = , p eq p eq τ b B B a ← b b ∈ B where P αβ is a branching probability and C A b is the committor probability that the system will visit an A minimum before it returns to the B region.

  9. Discrete path sampling builds connected databases of stationary points that are relevant to global kinetics ( Int. Rev. Phys. Chem. , 25 , 237, 2006 ). The paths that make the largest contributions to k SS AB can be extracted using the Dijkstra or recursive enumeration algorithms, using edge weights − ln P αβ ( J. Chem. Phys. , 121 , 1080, 2004; J. Phys. Chem. B , 112 , 8760, 2008 ). A hierarchy of expressions can be obtained for the rate constants: b p eq b p eq p eq C A C A AB = 1 AB = 1 k AB = 1 � � � k SS k NSS b b b , , . p eq p eq p eq τ b t b T Ab B B B b ∈ B b ∈ B b ∈ B τ b , t b and T Ab are the mean waiting times for a transition from b to an adjacent minimum, to any member of A ∪ B , and to the A set, with τ b ≤ t b ≤ T Ab . k AB is formally exact within a Markov assumption for transitions between the states, which can be regrouped. Additional approximations come from incomplete sampling, and the densities of states and the unimolecular rate theory used to describe the local thermodynamics and kinetics.

  10. Rates from Graph Transformation ( JCP , 124 , 234110, 2006; 130 , 204111, 2009 ) The deterministic graph transformation procedure is non-stochastic and non- iterative. Minima, x , are progressively removed, while the branching proba- bilities and waiting times in adjacent minima, β , are renormalised: ∞ xx = P γβ + P γx P xβ β = τ β + P xβ τ x � P m P ′ τ ′ γβ = P γβ + P γx P xβ , . 1 − P xx 1 − P xx m =0 Each transformation conserves the MFPT from every reactant state to the set of product states with an execution time independent of temperature: kT/ K ∆ F barrier N min N ts NGT/s SOR/s KMC/s 298 5.0 272 287 8 13 85,138 298 4.5 2,344 2,462 8 217,830 1007 - 40,000 58,410 35 281 1,020,540 1690 - 40,000 58,410 39 122,242

  11. Discrete Path Sampling Examples I LJ 55 LJ 13 LJ 2D 7 LJ 38 LJ 75 (H 2 O) 8 CaAr 37 (H 2 O) 20 bulk LJ

  12. Discrete Path Sampling Examples II Ala 16 GB1 hairpin met-enkephalin beta3s GNNQQNY ccbeta villin 1UAM NtrC trefoil knot

  13. Broken Ergodicity: LJ 38 ( Phys. Rev. E , 60 , 3701, 1999 ) − 167 1 . 0 icosahedral funnel 0 . 8 − 168 probability 0 . 6 − 169 0 . 4 0 . 2 − 170 fcc funnel time 0 . 0 10 0 10 5 10 10 10 15 − 171 200 180 − 172 C/k 160 − 173 140 120 kT/ǫ − 174 0 . 0 0 . 1 0 . 2 0 . 3 LJ 38 exhibits a double funnel due to competition between icosahedral and truncated octahedral morphologies. The interconversion rate for Ar 38 is cal- culated as 55 s − 1 at 14 K where a solid-solid transition occurs.

  14. Glassy Landscapes ( J. Chem. Phys. , 129 , 164507, 2008 ) 10 ǫ AA 10 ǫ AA Disconnectivity graphs for BLJ 60 including only transition states for noncage- breaking (top) and cage-breaking (bottom) paths. Changes in colour indicate disjoint sets of minima. Cage-breaking transitions, defined by two nearest- neighbour changes, define a higher order metabasin structure.

  15. Nanodevices ( Soft Matter , 7 , 2325, 2011 ) − 326 − 402 − 328 − 406 − 330 V − 332 4 10 − 410 − 334 3 4 5 6 7 8 9 1011 − 336 2 12 − 414 − 338 1 13 − 418 1 7 13 − 340 − 100 − 80 − 60 − 40 − 20 20 40 60 80 100 0 0 50 100 150 s relative orientation (degrees) Coupled linear and rotary motion has been characterised for a helix composed of 13 asymmetric dipolar dumbbells in the presence of an electric field. The helix changes handedness as the boundary between segments propagates along the strand via successive steps that switch the dumbbells. Applying a torque to the helix systematically drives a defect and associated ligand along the chain; moving the ligand could produce rotatory motion.

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