Computational materials discovery commonly ranks candidate materials by their thermodynamic stability on the formation energy convex hull, yet many predicted-stable phases resist synthesis. We propose that solid-state synthesizability through interfacial-melt-mediated routes requires an additional thermodynamic condition: the interfacial melt at the target composition must itself remain locally stable against spinodal decomposition. We demonstrate this in the classical Fe–B system, where thermodynamically stable FeB has been reported under high-pressure synthesis but not in low-pressure synthesis attempts. Using melt–quench molecular dynamics driven by a fine-tuned machine-learning interatomic potential, we find that, at ambient pressure, the B-rich interfacial melt near the FeB composition develops a concave free-energy landscape, signaling a demixing instability that is corroborated by the concentration–concentration structure factor and correlated with low-energy icosahedral and pentagonal-pyramidal boron motifs. Applied pressure introduces a convex contribution that restores melt stability, consistent with the experimental synthesis boundary. Interfacial-melt stability, which atomistic simulations can assess via structure-factor divergence, is thus proposed as a practical thermodynamic screening descriptor of synthesizability for AI-assisted materials discovery.

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