The use of artificial intelligence methods in studying quantum intramolecular vibrational dynamics

Artificial intelligence methods are used to treat the time evolution in intramolecular quantum dynamics. Comparison is made of several AI search algorithms and evaluation functions in an application to the study of quantum intramolecular vibrational redistribution. A combination of a beam search and a best-first search is used, in conjunction with an accumulated evaluation function which encourages both searching and ultimately satisfying the uncertainty principle. The methods developed are applied to an 11-coordinate heavy central mass problem and used to treat both quantum beats and ‘‘dissipative’’ intramolecular energy transfer. Good agreement is obtained with the ‘‘exact’’ quantum dynamics.