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20232026
most citedStability Analysis of Biochemical Reaction Networks Linearly Conjugated to complex balanced Systems with Time Delays Added

1 citations · 2 across the 8 of their papers we have counts for

collaborators

8 papers

math.DS2026

Input-to-state stability of chemical reaction networks with application to molecular computation

Renlei Jiang, Xiaoyu Zhang, Chuanhou Gao +1

Input-to-state stability (ISS) provides a useful tool for analyzing the robustness of time-varying chemical reaction networks (CRNs). This paper investigates the ISS property for C…

q-bio.MN2025

Structure-conditioned input-to-state stability for layer-by-layer molecular computations in parallel chemical reaction networks

Renlei Jiang, Chuanhou Gao, Denis Dochain

Molecular computation in chemical reaction networks (CRNs) now constitutes a foundational framework for designing programmable biological systems. However, prevailing design method…

math.DS2025

Structure and input-to-state stability for composable computations in chemical reaction networks

Renlei Jiang, Chuanhou Gao, Denis Dochain

In the field of molecular computation based on chemical reaction networks (CRNs), leveraging parallelism to enable coupled mass-action systems (MASs) to retain predefined computati…

q-bio.MN2025

Input-to-state stability-based chemical reaction networks composition for molecular computations

Renlei Jiang, Yuzhen Fan, Di Fan +2

Molecular computation based on chemical reaction networks (CRNs) has emerged as a promising paradigm for designing programmable biochemical systems. However, the implementation of…

math.DS2024★ 1 cited

Stability Analysis of Biochemical Reaction Networks Linearly Conjugated to complex balanced Systems with Time Delays Added

Xiaoyu Zhang, Shibo He, Chuanhou Gao +1

Linear conjugacy offers a new perspective to broaden the scope of stable biochemical reaction networks to the systems linearly conjugated to the well-established complex balanced m…

math.DS2024★ 1 cited

Automatic Implementation of Neural Networks through Reaction Networks--Part II: Error Analysis

Yuzhen Fan, Xiaoyu Zhang, Chuanhou Gao +1

This paired article aims to develop an automated and programmable biochemical fully connected neural network (BFCNN) with solid theoretical support. In Part I, a concrete design fo…

q-bio.MN2024

Controlling the occurrence sequence of reaction modules through biochemical relaxation oscillators

Xiaopeng Shi, Chuanhou Gao, Denis Dochain

Embedding sequential computations in biochemical environments is challenging because the computations are carried out by chemical reactions, which are inherently disordered. In thi…

math.DS2023

Automatic Implementation of Neural Networks through Reaction Networks -- Part I: Circuit Design and Convergence Analysis

Yuzhen Fan, Xiaoyu Zhang, Chuanhou Gao +1

Information processing relying on biochemical interactions in the cellular environment is essential for biological organisms. The implementation of molecular computational systems…