Chemistry Labs

Theoretical and computational chemistry

Monte Carlo and QM/MM models

Two complementary tools for molecular systems: statistical sampling by Monte Carlo and a quantum/classical partition for chemically active regions.

IntuitionTwo ways to make molecular models useful

Monte Carlo proposes configurations and accepts them with carefully chosen probabilities to sample a target distribution. QM/MM instead divides a system: quantum mechanics treats bonds and electrons where chemistry changes, while molecular mechanics handles the surrounding environment more cheaply.

Explore trial moves and the division between a quantum region and its molecular-mechanics environment. The display is a conceptual model; quantitative conclusions require a defined Hamiltonian and converged sampling.

SchoolAccepting or rejecting a trial

Definition: Metropolis acceptance

For a symmetric proposal in the canonical ensemble, a trial with energy change ΔU is accepted with probability min(1, exp(−βΔU)). Downhill moves are accepted; uphill moves can still occur thermally.

Pacc=min(1,exp(−βΔU));β=1/(kBT)P_acc = min(1, exp(−βΔU)); β = 1/(k_B T)

Example: A thermally uphill move

At a temperature where βΔU = ln 4 for an uphill trial, what is the Metropolis acceptance probability?

Solution

Pacc = exp(−ln 4) = 1/4. The move is sometimes accepted, allowing thermal exploration beyond local minima.

UndergraduatePartitioning a chemical system

Definition: QM/MM energy

A common electrostatic-embedding expression is E = E_QM + E_MM + E_QM/MM. The QM region responds to the MM environment’s electrostatic potential; cross-boundary covalent bonds require link atoms or a more sophisticated boundary treatment.

EQM/MM=EQM+EMM+EcouplingE_QM/MM = E_QM + E_MM + E_coupling
ChoiceTrade-off
QM regionAccuracy for chemistry vs computational cost
EmbeddingEnvironmental polarization vs complexity
MC proposalExploration rate vs acceptance and decorrelation

AdvancedCoupling sampling to quantum chemistry

Monte Carlo can sample conformations or reaction coordinates, while QM/MM energies evaluate chemically important configurations. For detailed balance, the acceptance rule must use the target energy and the proposal probability ratio; asymmetric moves cannot blindly use the simple Metropolis expression.

ResearchFrontier: sampling, embedding, and uncertainty

References

  • Equation of State Calculations by Fast Computing Machines · N. Metropolis, A. W. Rosenbluth, M. N. Rosenbluth, A. H. Teller, E. Teller, 1953
  • Theoretical studies of enzymic reactions: dielectric, electrostatic and steric stabilization of the carbonium ion in the reaction of lysozyme · A. Warshel, M. Levitt, 1976
  • A combined quantum mechanical and molecular mechanical potential for molecular dynamics simulations · M. J. Field, P. A. Bash, M. Karplus, 1990