Steering a solute between coexisting solvation states: calculation of free energy differences in the adaptive resolution method
ORAL
Abstract
In the adaptive resolution method, it is possible to represent molecules with atomistic resolution in a simulation subregion and as ideal gas particles in a large reservoir. To enforce a uniform density profile across the simulation box, an external potential is applied and identified with the system's excess chemical potential. Indeed, atomistic and ideal gas images coexist at a constant temperature, volume, and chemical potential.
In this context, we present a method to calculate solvation free energies (SFEs) [1]. The idea is to steer the solute between coexisting solvation states, represented by incorporating solvent and ideal gas at a constant chemical potential. At finite pulling speeds, the applied work gives SFEs via non-equilibrium relations, whereas at infinitely slow pulling, the calculation is equivalent to a thermodynamic integration. Results for small molecules well agree with literature data and pave the way to systematic studies of arbitrarily large and complex molecules.
[1] Heidari et.al., JCP 151, 144105 (2019)
In this context, we present a method to calculate solvation free energies (SFEs) [1]. The idea is to steer the solute between coexisting solvation states, represented by incorporating solvent and ideal gas at a constant chemical potential. At finite pulling speeds, the applied work gives SFEs via non-equilibrium relations, whereas at infinitely slow pulling, the calculation is equivalent to a thermodynamic integration. Results for small molecules well agree with literature data and pave the way to systematic studies of arbitrarily large and complex molecules.
[1] Heidari et.al., JCP 151, 144105 (2019)
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Presenters
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Robinson Cortes Huerto
Max Planck Inst, Max Planck Institute for Polymer Research
Authors
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Maziar Heidari
Max Planck Inst
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Robinson Cortes Huerto
Max Planck Inst, Max Planck Institute for Polymer Research
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Raffaello Potestio
Physics Department, University of Trento
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Kurt Kremer
Max Planck Inst, Max Planck Institute for Polymer Research