  Dark Matter particles are commonly assumed to be weakly interacting massive
particles (WIMPs) with a mass in the GeV to TeV range. However, recent interest
has shifted towards lighter WIMPs, which are more difficult to probe
experimentally. A detection of sub-GeV WIMPs would require the use of small gap
materials in sensors. Using recent estimates of the WIMP mass, we identify the
relevant target space towards small gap materials (100-10 meV). Dirac
Materials, a class of small- or zero-gap materials, emerge as natural
candidates for sensors for Dark Matter detection. We propose the use of
informatics tools to rapidly assay materials band structures to search for
small gap semiconductors and semimetals, rather than focusing on a few
preselected compounds. As a specific example of the proposed strategy, we use
the organic materials database (omdb.diracmaterials.org) to identify organic
candidates for sensors: the narrow band gap semiconductors BNQ-TTF and DEBTTT
with gaps of 40 and 38 meV, and the Dirac-line semimetal (BEDT-TTF)$\cdot$Br
which exhibits a tiny gap of $\approx$ 50 meV when spin-orbit coupling is
included. We outline a novel and powerful approach to search for dark matter
detection sensor materials by means of a rapid assay of materials using
informatics tools.
