Due to the large increase in computation power, new methods for modelling g
lass dissolution are becoming available. We give a short description of two
classes of such methods. For each method, we first explain where it is bas
ed on, then we list existing applications in glass dissolution and finally,
we discuss what it could provide to glass dissolution modelling. The first
class of models consists of molecular modelling. These are methods with a
solid mathematical basis, like ab initio calculations. molecular dynamics o
r Monte Carlo simulations. These methods are complementary, not only to one
another but also to existing analytical or geochemical models. which will
not become superfluous. Instead. one method can provide input for another m
ethod, either by calculating values or by confirming its basic assumptions.
The second class of models consists of soft computing techniques like neur
al networks. fuzzy systems or genetic algorithms. These methods, which can
be viewed as complementary to traditional methods, are more empirically bas
ed and can be useful for modelling systems that are ill defined or not comp
letely understood yet. (C) 2001 Elsevier Science B.V. All rights reserved.