Fundamental knowledge gaps are endemic in our understanding
of
how emergent properties of soft materials are linked to the quantum
mechanical (QM) world. The limitations of current QM modeling paradigms
inhibit the understanding and design of classes of soft materials
for which QM phenomenology is critical. At its root, these limitations
derive from the seemingly innocuous premise of requiring all atomic
positions to solve the molecular Schrödinger equation, which
necessitates supercomputing resources to incorporate even simple QM
phenomenology into small (∼nm) systems of soft materials. Here,
we review emerging efforts to overcome these challenges through the
development of electronic prediction models that operate at the coarse-grained
resolution. We motivate the origins of this new computational paradigm,
denoted electronic coarse-graining (ECG), discuss its relationship
to existing molecular modeling frameworks, and describe recent successes
of ECG and related models for soft materials. Importantly, we highlight
the classes of soft materials where ECG models can be potentially
transformative.