Resources / Reviews / Rittig et al. (2026), Molecular machine learning in chemical process design
paper | added 2026-10-11 | review, machine-learning, thermodynamics
[Open] https://doi.org/10.1016/j.coche.2026.101239
Graph networks, transformers and matrix completion for properties; the few-hundred-points threshold; the hybrid taxonomy. Open access, CC BY 4.0.
Rittig, J. G., Dahmen, M., Grohe, M., Schwaller, P., & Mitsos, A. (2026). Molecular machine learning in chemical process design. Current Opinion in Chemical Engineering, 52, 101239.
Reading note: Rittig et al. (2026). The hybrid taxonomy figure is worth redrawing.