Automated generation of mechanistic models for chemical process digital twins using reinforcement learning part I: Conceptual framework and equation generation

Mathis Heyer; Jiyizhe Zhang; Naoto Sugisawa; Jan-Frederic Laub; Alexei A. Lapkin

doi:10.1016/j.compchemeng.2025.109281

Automated generation of mechanistic models for chemical process digital twins using reinforcement learning part I: Conceptual framework and equation generation

Mathis Heyer
, Jiyizhe Zhang
, Naoto Sugisawa
, Jan-Frederic Laub
, Alexei A. Lapkin

CE - Academic & Research

Research output: Contribution to journal › Article › peer-review

Original language	Undefined
Journal	COMPUTERS & CHEMICAL ENGINEERING
DOIs	https://doi.org/10.1016/j.compchemeng.2025.109281
Publication status	Published - Nov 2025

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10.1016/j.compchemeng.2025.109281

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title = "Automated generation of mechanistic models for chemical process digital twins using reinforcement learning part I: Conceptual framework and equation generation",

author = "Mathis Heyer and Jiyizhe Zhang and Naoto Sugisawa and Jan-Frederic Laub and Lapkin, \{Alexei A.\}",

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month = nov,

doi = "10.1016/j.compchemeng.2025.109281",

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journal = "COMPUTERS \& CHEMICAL ENGINEERING",

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AU - Heyer, Mathis

AU - Zhang, Jiyizhe

AU - Sugisawa, Naoto

AU - Laub, Jan-Frederic

AU - Lapkin, Alexei A.

PY - 2025/11

Y1 - 2025/11

UR - https://doi.org/10.1016/j.compchemeng.2025.109281

U2 - 10.1016/j.compchemeng.2025.109281

DO - 10.1016/j.compchemeng.2025.109281

M3 - Article

SN - 0098-1354

JO - COMPUTERS & CHEMICAL ENGINEERING

JF - COMPUTERS & CHEMICAL ENGINEERING

ER -

Automated generation of mechanistic models for chemical process digital twins using reinforcement learning part I: Conceptual framework and equation generation

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