  We propose a fast method for high-throughput screening of potential
superconducting materials. The method is based on calculating metallic
screening of zone-center phonon modes, which provides an accurate estimate for
the electron-phonon coupling strength. This method is complementary to the
recently proposed Rigid Muffin Tin (RMT) method, which amounts to integrating
the electron-phonon coupling over the entire Brillouin zone (as opposed to the
zone center), but in a relatively inferior approximation. We illustrate the use
of this method by applying it to MgB$_\text{2}$, where the high-temperature
superconductivity is known to be driven largely by the zone-center modes, and
compare it to a sister compound AlB$_\text{2}$. We further illustrate the usage
of this descriptor by screening a large number of binary hydrides, for which
accurate first-principle calculations of electron-phonon coupling have been
recently published. Together with the RMT descriptor, this method opens a way
to perform initial high-throughput screening in search of conventional
superconductors via machine learning or data mining.
