David Ming Segura

Textual descriptions of reaction conditions are encoded by a fine-tuned language model trained jointly with Gaussian process surrogates, yielding task-adaptive representations within a multi-objective Bayesian optimisation loop.

CheMatE achieves competitive performance by seamlessly integrating chemical structure with natural language understanding, challenging the notion that domain-specific models must sacrifice generality.