Exploring the vast and veiled chemical spaces via synthesis
is
essential in solid-state materials. However, navigating uncharted
chemical spaces can be a daunting task, particularly when a material
has complex structural features. Metal halides represent one such
space, where the coexistence of perovskites and their derivatives
has restricted the exploration of this fascinating family. Here, we
meticulously collect inorganic halide perovskite derivatives and systematically
explore them via a combination of high-throughput density functional
theory calculations and machine learning. We chart the chemical spaces
by listing stable compositions on the periodic table and yield informatics
on electrical properties and thermal stability. Guided by these predictions,
we showcase the successful synthesis of new Cs3LuCl6, as well as its implementation into white-light-emitting
diodes. Our exploration can inspire the design of inorganic metal
halides, thereby paving the way for envisioning their practical applications
across various fields.