  Two-dimensional (2D) layered materials, demonstrating significantly different
properties from their bulk counterparts, offer a materials platform with
potential applications from energy to information processing devices. Although
some single- and few-layer forms of materials such as graphene and transition
metal dichalcogenides have been realized and thoroughly studied, the space of
arbitrarily layered assemblies is still mostly unexplored. The main goal of
this work is to demonstrate precise control of layered materials' electronic
properties through careful choice of the constituent layers, their stacking,
and relative orientation. Physics-based and AI-driven approaches for the
automated planning, execution, and analysis of electronic structure
calculations are applied to layered assemblies based on prototype
one-dimensional (1D) materials and realistic 2D materials. We find it is
possible to routinely generate moir\'e band structures in 1D with desired
electronic characteristics such as a band gap of any value within a large
range, even with few layers and materials (here, four and six, respectively).
We argue that this tunability extends to 2D materials by showing the essential
physical ingredients are already evident in calculations of two-layer MoS$_2$
and multi-layer graphene moir\'e assemblies.
