4H Silicon Carbide Doping Screening for Target Resistivity
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Solution Overview
Problem
The process of finding suitable doping elements for silicon carbide wafers is time-consuming and costly due to the need for extensive fabrication and testing to meet specific resistivity requirements.
Innovation Solution
A simulation method using Vienna Ab initio Simulation Package (VASP) to calculate simulated resistivity of doped silicon carbide substrates, establishing n-type and semi-insulating 4H silicon carbide standard models, and determining suitable doping elements such as Ta, P, As, Sb, Bi, F, Cl, I, At, B, Al, Ga, In, and Tl, reducing the need for extensive experimentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If extensive fabrication and testing of silicon carbide with various doping elements is performed to find suitable doping elements, then the reliability of selecting appropriate doping elements is improved, but the loss of time and money increases
Solution Approach 1:
The patent applies preliminary action by performing simulation calculations before actual fabrication to predict resistivity values. The simulation software calculates resistivity for different doping elements and concentrations, allowing researchers to identify suitable doping elements in advance without extensive trial fabrication, thus reducing time loss while maintaining reliability
Solution Approach 2:
The patent uses simulation software to create virtual models of doped silicon carbide structures. These simulated models replicate the electrical properties of actual doped silicon carbide, allowing researchers to test and evaluate multiple doping scenarios virtually before committing to physical fabrication, thereby reducing both time and material costs while maintaining selection reliability
2Reliability
If extensive fabrication and testing of silicon carbide with various doping elements is performed to find suitable doping elements, then the reliability of selecting appropriate doping elements is improved, but the money cost increases
Solution Approach 1:
The patent performs simulation calculations as a preliminary step before actual fabrication. The simulation software predicts resistivity values for different doping elements and concentrations, enabling researchers to identify suitable candidates in advance. This preliminary virtual testing significantly reduces the number of actual fabrication and testing cycles needed, thereby reducing money cost while maintaining the reliability of doping element selection
Solution Approach 2:
The patent creates virtual copies of doped silicon carbide structures using simulation software. These simulated models replicate the electrical properties of actual materials, allowing extensive testing of different doping scenarios without the high costs of physical fabrication. This virtual copying approach maintains selection reliability while dramatically reducing money cost
3Loss of time
If simulation software is used to calculate simulated resistivity before fabrication, then the loss of time is reduced, but the device complexity increases
Solution Approach 1:
The patent introduces simulation software as an intermediary between the researcher and the actual fabrication process. This intermediary tool automates the complex calculations of resistivity for different doping scenarios, handling the computational complexity internally while providing simple, clear output results. This allows researchers to reduce time loss without needing to understand or manage the underlying computational complexity
4Loss of energy
If simulation software is used to calculate simulated resistivity before fabrication, then the money cost is reduced, but the device complexity increases
Solution Approach 1:
The patent employs simulation software as an intermediary that handles the complex computational tasks of predicting resistivity for various doping scenarios. The software encapsulates the complexity of quantum mechanical calculations and material modeling, presenting users with simple interfaces and clear results. This intermediary approach reduces money cost by minimizing actual fabrication trials while managing simulation complexity internally
Solution Approach 2:
The patent uses virtual copying through simulation software to create digital models of doped silicon carbide. These simulated copies replicate the electrical properties of actual materials, allowing extensive virtual testing without the high costs of physical fabrication. The simulation software manages the computational complexity internally, providing cost-effective material screening while keeping the user interface simple
Data Source
AI summary
A method for manufacturing a semiconductor substrate includes steps as follows. An n-type 4H silicon carbide standard model is established. A semi-insulating 4H silicon carbide standard model is established. A simulation software is used to introduce a doping element into at least one of the n-type 4H silicon carbide standard model and the semi-insulating 4H silicon carbide standard model to calculate a simulated resistivity of a 4H silicon carbide doped with the doping element. The doping element is used to dope a silicon carbide substrate to obtain a doped silicon carbide substrate.