D. R. Beahm, Yijie Deng, Tanner G. Riley, R. Sarpeshkar
{"title":"Cytomorphic Electronic Systems: A review and perspective","authors":"D. R. Beahm, Yijie Deng, Tanner G. Riley, R. Sarpeshkar","doi":"10.1109/mnano.2021.3113192","DOIUrl":null,"url":null,"abstract":"The boltzmann-exponential thermodynamic laws govern the noisy molecular flux in chemical reactions as well as the noisy subthreshold electron current flux in transistors. These common mathematical laws enable one to map and simulate arbitrary stochastic biochemical reaction networks in highly efficient cytomorphic systems built on subthreshold analog circuits. Such simulations can accurately and automatically model noisy, nonlinear, asynchronous, stiff, and nonmodular feedback dynamics in interconnected networks in physical circuits. The scaling in simulation time for stochastic networks with the number of reactions or molecules is constant in cytomorphic systems. By contrast, it grows rapidly in digital systems, which are not parallelizable. Therefore, cytomorphic systems enable large-scale supercomputing systems-biology simulations of arbitrary and highly computationally intensive biochemical reaction networks that can nevertheless be compiled via digitally programmable parameters and connectivity.","PeriodicalId":44724,"journal":{"name":"IEEE Nanotechnology Magazine","volume":"15 1","pages":"41-53"},"PeriodicalIF":2.3000,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Nanotechnology Magazine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/mnano.2021.3113192","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"NANOSCIENCE & NANOTECHNOLOGY","Score":null,"Total":0}
引用次数: 3
Abstract
The boltzmann-exponential thermodynamic laws govern the noisy molecular flux in chemical reactions as well as the noisy subthreshold electron current flux in transistors. These common mathematical laws enable one to map and simulate arbitrary stochastic biochemical reaction networks in highly efficient cytomorphic systems built on subthreshold analog circuits. Such simulations can accurately and automatically model noisy, nonlinear, asynchronous, stiff, and nonmodular feedback dynamics in interconnected networks in physical circuits. The scaling in simulation time for stochastic networks with the number of reactions or molecules is constant in cytomorphic systems. By contrast, it grows rapidly in digital systems, which are not parallelizable. Therefore, cytomorphic systems enable large-scale supercomputing systems-biology simulations of arbitrary and highly computationally intensive biochemical reaction networks that can nevertheless be compiled via digitally programmable parameters and connectivity.
期刊介绍:
IEEE Nanotechnology Magazine publishes peer-reviewed articles that present emerging trends and practices in industrial electronics product research and development, key insights, and tutorial surveys in the field of interest to the member societies of the IEEE Nanotechnology Council. IEEE Nanotechnology Magazine will be limited to the scope of the Nanotechnology Council, which supports the theory, design, and development of nanotechnology and its scientific, engineering, and industrial applications.