Making chemistry compute with non-steady-state chemical dynamics

Xuan Ji; Yueqi Chen; Xi Yu; Christian A. Nijhuis

doi:10.1038/s41570-026-00796-w

Making chemistry compute with non-steady-state chemical dynamics

Xuan Ji^*
, Yueqi Chen
, Xi Yu^*
, Christian A. Nijhuis^*

^*Corresponding author for this work

Research output: Contribution to journal › Comment/Letter to the editor › Academic › peer-review

Abstract

Non-steady-state chemical dynamics offer a powerful tool for neuromorphic computing by harnessing nonlinear, collective, and time-evolving behaviours. Coupled with frameworks such as reservoir computing, these systems enable trajectory-based information processing at the molecular scale through concepts from chemical kinetics and far-from-equilibrium dynamics.

Original language	English
Pages (from-to)	92-94
Number of pages	3
Journal	Nature Reviews Chemistry
Volume	10
Issue number	2
Early online date	26 Jan 2026
DOIs	https://doi.org/10.1038/s41570-026-00796-w
Publication status	Published - Feb 2026

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10.1038/s41570-026-00796-w

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title = "Making chemistry compute with non-steady-state chemical dynamics",

abstract = "Non-steady-state chemical dynamics offer a powerful tool for neuromorphic computing by harnessing nonlinear, collective, and time-evolving behaviours. Coupled with frameworks such as reservoir computing, these systems enable trajectory-based information processing at the molecular scale through concepts from chemical kinetics and far-from-equilibrium dynamics.",

keywords = "2026 OA procedure",

author = "Xuan Ji and Yueqi Chen and Xi Yu and Nijhuis, \{Christian A.\}",

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doi = "10.1038/s41570-026-00796-w",

language = "English",

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AU - Ji, Xuan

AU - Chen, Yueqi

AU - Yu, Xi

AU - Nijhuis, Christian A.

N1 - Publisher Copyright: © Springer Nature Limited 2026.

PY - 2026/2

Y1 - 2026/2

N2 - Non-steady-state chemical dynamics offer a powerful tool for neuromorphic computing by harnessing nonlinear, collective, and time-evolving behaviours. Coupled with frameworks such as reservoir computing, these systems enable trajectory-based information processing at the molecular scale through concepts from chemical kinetics and far-from-equilibrium dynamics.

AB - Non-steady-state chemical dynamics offer a powerful tool for neuromorphic computing by harnessing nonlinear, collective, and time-evolving behaviours. Coupled with frameworks such as reservoir computing, these systems enable trajectory-based information processing at the molecular scale through concepts from chemical kinetics and far-from-equilibrium dynamics.

KW - 2026 OA procedure

UR - https://www.scopus.com/pages/publications/105029119660

U2 - 10.1038/s41570-026-00796-w

DO - 10.1038/s41570-026-00796-w

M3 - Comment/Letter to the editor

AN - SCOPUS:105029119660

SN - 2397-3358

VL - 10

SP - 92

EP - 94

JO - Nature Reviews Chemistry

JF - Nature Reviews Chemistry

IS - 2

ER -

Making chemistry compute with non-steady-state chemical dynamics

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