Scientific simulations evolve constantly. Both the logical organization of the underlying database and the scientist's view of data may change rapidly. The underlying DBMS must provide appropriate support for the evolution of scientific simulations, their rapidly increasing computational intensity, as well as the growing volumes and dimensionality of scientific data. ADAMS is a dynamic and scalable academic DBMS for scientific applications designed to address the evolutionary processes and the problems of scale. This paper presents innovative solutions adopted in ADAMS allowing the system to accommodate the increasing computational intensity of scientific simulations as well as the growing volumes and dimensionality of scientific data.