1 citations · 3 across the 10 of their papers we have counts for
10 papers
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…
On the Convergence Rate Lower Bound of Biochemical Computational Modules
Yuzhen Fan, Chuanhou Gao, Shibo He +1
Biochemical reaction networks have become a central theoretical framework for implementing molecular computation. A key challenge is finite time computational accuracy, as computat…
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…
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…
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…
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…
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…
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…
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…
Network Combination to Persistence of High-dimensional Delayed Complex Balanced Mass-action Systems
Xiaoyu Zhang, Chunhou Gao, Denis Dochain
Complex balanced mass-action systems (CBMASs) are of great importance in the filed of biochemical reaction networks. However analyzing the persistence of these networks with high d…