Deductive multiscale simulation using order parameters

1. A deductive multiscale simulation method comprising:

(i) constructing a set of order parameters that model one or more structural characteristics of a macromolecule;

(ii) simulating an ensemble of atomistic configurations for the macromolecule using instantaneous values of the set of order parameters;

(iii) simulating thermal-average forces and diffusivities for the ensemble of atomistic configurations;

(iv) evolving the set of order parameters via Langevin dynamics using the thermal-average forces and diffusivities; and

(v) repeating steps (ii)-(iv) at each of a plurality of Langevin timesteps, wherein each of the plurality of Langevin timesteps is between 50 and 100 picoseconds.

2. The deductive multiscale simulation method of claim 1 , wherein step (i) comprises constructing the set of order parameters using an all-atom reference structure for the macromolecule.

3. The deductive multiscale simulation method of claim 2 , further comprising updating the all-atom reference structure to reflect a deformation of the macromolecule.

4. The deductive multiscale simulation method of claim 1 , further comprising adding one or more new order parameters to the set of order parameters in response to the presence of a long-time tail in a correlation function.

5. The deductive multiscale simulation method of claim 1 , wherein step (ii) comprises determining a quasi-equilibrium probability distribution of the ensemble of atomistic configurations following from entropy maximization constrained to the instantaneous values of the set of order parameters.

6. The deductive multiscale simulation method of claim 1 , wherein step (iii) comprises determining an inter-atomic force-field using at least one of Monte Carlo integration and molecular dynamics.

7. The deductive multiscale simulation method of claim 1 , further comprising synthesizing the macromolecule modeled by the set of order parameters.

8. The deductive multiscale simulation method of claim 7 , wherein the synthesized macromolecule comprises a nano-medical system.

9. One or more non-transitory computer readable media comprising a plurality of instructions which, when executed by one or more processors, cause the one or more processors to:

(i) construct a set of order parameters that model one or more structural characteristics of a macromolecule;

(ii) simulate an ensemble of atomistic configurations for the macromolecule using instantaneous values of the set of order parameters;

(iii) simulate thermal-average forces and diffusivities for the ensemble of atomistic configurations;

(iv) evolve the set of order parameters via Langevin dynamics using the thermal-average forces and diffusivities; and

(v) repeat steps (ii)-(iv) at each of a plurality of Langevin timesteps, wherein each of the plurality of Langevin timesteps is between 50 and 100 picoseconds.

10. The one or more non-transitory computer readable media of claim 9 , wherein the plurality of instructions cause the one or more processors to perform step (i), at least in part, by constructing the set of order parameters using an all-atom reference structure for the macromolecule.

11. The one or more non-transitory computer readable media of claim 10 , wherein the plurality of instructions further cause the one or more processors to update the all-atom reference structure to reflect a deformation of the macromolecule.

12. The one or more non-transitory computer readable media of claim 9 , wherein the plurality of instructions further cause the one or more processors to add one or more new order parameters to the set of order parameters in response to the presence of a long-time tail in a correlation function.

13. The one or more non-transitory computer readable media of claim 9 , wherein the plurality of instructions cause the one or more processors to perform step (ii), at least in part, by determining a quasi-equilibrium probability distribution of the ensemble of atomistic configurations following from entropy maximization constrained to the instantaneous values of the set of order parameters.

14. The one or more non-transitory computer readable media of claim 9 , wherein the plurality of instructions cause the one or more processors to perform step (iii), at least in part, by determining an inter-atomic force-field using at least one of Monte Carlo integration and molecular dynamics.

15. The deductive multiscale simulation method of claim 1 , wherein each order parameter of the set of order parameters is associated with many atoms.

16. The deductive multiscale simulation method of claim 1 , wherein each order parameter of the set of order parameters describe a nano-scale feature of the macromolecule.