Scholarlink

<p>Chemical reaction networks (CRNs) are a powerful framework for programming the dynamics of molecular concentrations over time. While digital chemical reaction circuits are well established, with the ability to construct essentially any small Boolean logic circuit, there is currently no general method for translating analog electronic circuits consisting of reversible resistor, inductor, and capacitor (RLC) components into CRNs. In this work, we present a systematic approach to translate RLC circuits into CRN motifs that preserve key dynamics, where chemical concentration is the analog for voltage, flux is the analog for current, and reaction rate constants are the analogs of resistance. The resulting analog CRN circuits lay a foundation for embedding analog computation within chemical and biological environments.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Emulating analog RLC electronic circuits with reversible chemical reaction networks

  • 期刊论文

  • 发表日期：

    2026年5月21日

查看全文
  • Natalie Kallish,
  • Dominic Scalise

摘要

Chemical reaction networks (CRNs) are a powerful framework for programming the dynamics of molecular concentrations over time. While digital chemical reaction circuits are well established, with the ability to construct essentially any small Boolean logic circuit, there is currently no general method for translating analog electronic circuits consisting of reversible resistor, inductor, and capacitor (RLC) components into CRNs. In this work, we present a systematic approach to translate RLC circuits into CRN motifs that preserve key dynamics, where chemical concentration is the analog for voltage, flux is the analog for current, and reaction rate constants are the analogs of resistance. The resulting analog CRN circuits lay a foundation for embedding analog computation within chemical and biological environments.