Compact Modeling Transistor Characteristics Using TCAD Physics
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Solution Overview
Problem
Existing compact models for integrated circuits struggle to accurately predict device behavior and tolerances, especially during early development stages when hardware data is unavailable, particularly with significant changes in transistor architecture or materials, leading to limitations in simulation accuracy and efficiency.
Innovation Solution
The method involves generating physics-based models using technology computer-aided design (TCAD) to derive electrical parameters, varying process variables to create sets of TCAD models, and incorporating electrical tolerances into compact models, enabling detailed device characteristic calculations at arbitrary conditions and accounting for physical variations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If physics-based models with TCAD are used to generate compact models, then accuracy in predicting device behavior and tolerances is improved, but computational complexity and time required for model generation increase
Solution Approach 1:
The patent performs preliminary TCAD simulations and physics-based calculations during the model development phase to pre-determine device characteristics and tolerances. By conducting these computationally intensive simulations beforehand, the system establishes accurate baseline data that can be reused across multiple design iterations, reducing the need for repeated full-scale simulations and thereby decreasing overall model generation time while maintaining high prediction accuracy.
2Productivity
If compact models are generated without hardware data using physics-based approaches, then model development can proceed during early process development stages, but the models may not capture real-world manufacturing variations accurately
Solution Approach 1:
The patent systematically varies key process parameters such as doping concentrations, oxide thicknesses, and device dimensions within realistic manufacturing tolerances in the TCAD simulations. By performing sensitivity analyses across these parameter ranges, the model captures the impact of manufacturing variations on device characteristics, enabling accurate prediction of real-world behavior even before hardware data is available, thus maintaining both development speed and model reliability.
3Adaptability or versatility
If existing compact models are used for significantly different transistor architectures or materials, then model portability is maintained, but prediction accuracy deteriorates
Solution Approach 1:
The patent implements architecture-specific physics models that are tailored to particular transistor types (e.g., bulk CMOS, FinFET, nanowire) and material systems (e.g., silicon, InGaAs). Each model incorporates the specific physical mechanisms dominant in that architecture, such as quantum confinement effects in nanowires or surface scattering in FinFETs. This localized approach ensures high prediction accuracy for each specific architecture while maintaining the ability to generate models for multiple different transistor types through systematic adaptation of the underlying physics.
Data Source
AI summary
Systems and methods for generating compact models that include the effects of physical and electrical variations independent of available hardware data. A method includes generating a physics-based model using a technology computer-aided design (TCAD) of the one or more devices in a technology node. The method further includes deriving electrical parameters for the one or more devices from the physics-based model. The method further includes generating the compact model based on the derived electrical parameters.