Sluggish dynamical behavior

What are the implications of these studies on the calculation of macroscopic dynamical properties of ionic liquids At the very least, they suggest that one should be careful when applying standard computational techniques used for simple liquids to ionic liquids. Most of these techniques assume ergodic behavior, but the work described above shows this may not always be the case. Due to the sluggish dynamics of ionic liquid systems, one should carry out very long simulations to ensure adequate sampling. 

Set point and load changes affect the behavior of the control loop quite differently, owing to the dynamics in their path. There are no dynamics involved with changing the set point, unless intentionally placed there for purposes of filtering the set point. However, there are always dynamics in the load path. A controller tuned to follow set point changes tends to respond sluggishly to load variations, and a controller tuned to correct for load disturbances tends to overshoot when its set point is changed. 

Mis-interpretations caused by sluggish or irreversible transitions are much more likely to occur in dynamic techniques such as DTA or DSC than in adiabatic calorimetiy. In an adiabatic calorimeter, a sample may be held at temperatures a little above or below the transition temperature for a long time until a stable state is attained. Then it may be cycled through the transition in both directions several times to check for reproducible behavior. 

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