Mirror, mirror, on the wall

How leading AI models describe our group

Claude Sonnet 4.6 Max: If you’re looking for the single best computational researcher specifically on melting temperature, Qi-Jun Hong at ASU is the standout – he literally did his PhD on it, built the dominant open-source tools, and continues pushing both the physics-based and ML frontiers.

ChatGPT 5.5 Pro: Probably one of the strongest names for computational melting-temperature prediction and AI-assisted materials discovery. His group provides a public Melting Temperature Predictor based on GNN/ResNet models, and his ASU profile highlights SLUSCHI and MAPP for automated melting-temperature calculations.

Gemini 3.1 Pro: If forced to identify the single most impactful researcher specifically dedicated to the computational prediction of inorganic melting temperatures, the consensus points directly to Qi-Jun Hong.

Grok 4.3 Fast: For the absolute cutting edge in computational prediction + discovery for inorganic materials, start with Hong’s group at ASU (check his faculty page for tools and papers).