The authors introduce CondMSP, which first predicts temperature, time, and atmosphere from a target–precursor pair using a joint condition LLM combined with variable-specific experts.
Predicting synthesis conditions enables resource-aware materials planning
CondMSP uses predicted temperature, time, and atmosphere both as context for generating operation sequences and to allocate limited furnace runs
Top University
Heewoong Noh · Gyoung S. Na · Elton Pan · Namkyeong Lee · Chanyoung Park
KAIST · MIT
Research Digest··2 min read
Noh et al.
Why this paper
From KAIST and MIT
In one line
CondMSP uses predicted synthesis conditions to construct, rank, and resource-optimize inorganic synthesis routes, improving reference-recipe recovery under trial and furnace constraints.
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