研究目的
To develop biological models for 3D reaction–diffusion phenomena that can be used in circuit electronic design automation environments for biosensor simulation, enabling coupling with electronic models for multiphysics simulation.
研究成果
The tool enables efficient 3D multiphysics simulation of biosensors by integrating biological and electronic models in a standard EDA environment, validated on simple cases and demonstrated on a penicillin sensor. It allows for system optimization and is applicable to various physical domains, though further refinement and experimental comparison are required.
研究不足
The model accuracy depends on the discretization step; variable-size lattices may introduce slight deviations at DoR transitions. The approach requires well-adapted lattices to avoid errors, and validation with experimental data is needed for broader acceptance.
1：Experimental Design and Method Selection:
The approach involves discretizing partial differential equations using the finite-difference method and converting them into SPICE-compatible electronic equivalent circuits.
2：Sample Selection and Data Sources:
Simple problems with known analytical solutions (e.g., one-dimensional and radial diffusion) are used for validation, and a penicillin sensor case study is applied.
3：List of Experimental Equipment and Materials:
CADENCE MMSIM
4：1 simulator, C++ and Python for algorithm implementation, Verilog-A for modeling. Experimental Procedures and Operational Workflow:
Generate variable-size lattices from input files, create SPICE netlists, simulate with CADENCE, compare results with analytical solutions and numerical methods.
5：Data Analysis Methods:
Compare simulation outcomes with theoretical responses using relative error calculations and visual comparisons.
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