Example: Biased Insertion in GCMC
Grand-canonical Monte Carlo (mVT)
- fluctuations in N require insertion/deletion trials
- at high density, insertions may be rarely accepted
- tij is small for j a state with additional, non-overlapping molecule
- at high chemical potential, limiting distribution strongly favors additional molecules
- c is large for (N+1) state with no overlap
- apply biasing to improve acceptance
- first look at unbiased algorithm