The final thermostat we consider is one based on the extended Lagrangian formalism, which leads to a deterministic trajectory; i.e., there are no random forces or velocities to deal with. The most common and so far most reliable thermostat of this kind is the Nosé-Hoover thermostat. This thermostat can be implemented as a ``single'' or a ``chain''; here, we consider a chain.
The basic idea of the Nosé-Hoover thermostat is to use a friction factor to control particle velocities. This friction factor is actually the scaled velocity, , of an additional and dimensionless degree of freedom, . This degree of freedom has an associated ``mass'', , which effectively determines the strength of the thermostat. The equations of motion obeyed by this additional degree of freedom guarantee that the original degrees of freedom (, ) sample a canonical ensemble. This degree of freedom is the terminus of a chain of similar degrees of freedom, each with their own mass. The chain has a total of ``links.'' The overall set of equations of motion are:
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The main advantage of the Nosé-Hoover chain thermostat is that the dynamics of all degrees of freedom are deterministic and time-reversible. No random numbers are used. The code mdlj_nhc.c implements an = 2 Nosé-Hoover chain thermostat in an MD simulation of an Lennard-Jones fluid, by implementing Algorithms 30, 31, and 32 from F&S. The two masses of the thermostats are defaulted to = = 0.1. This ``low'' mass results in a ``loose'' control of temperature; higher masses mean a tighter control. is the degree of freedom whose velocity is used to scale particle velocities, so one might hypothesize that the mass is the more important. (You can verify this as an exercise.) Though I haven't verified that my code is 100% bug-free, apparently, the effect of increasing the mass of the coupling degree of freedom is to lengthen the decay time constant of the response to an instantaneous temperature jump:
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