Nanoscale Semiconductor Transfer Characteristic Design
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Solution Overview
Problem
The scaling of semiconductor devices is limited by quantum effects, making it difficult to fabricate nanoscale devices with desired transfer characteristics due to large electric fields causing tunneling and non-equilibrium behavior, such as ballistic electron transport.
Innovation Solution
A method is developed to predict and fabricate semiconductor devices with specific control parameters that achieve desired transfer characteristics, such as linear or squared functions, by varying local potentials in spatial increments across the conduction or valence band using the propagation matrix method to solve the Schrödinger equation and applying optimal design techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If semiconductor device dimensions are scaled down to nanoscale, then device density and integration are improved, but quantum effects such as tunneling and non-equilibrium behavior occur making desired transfer characteristics difficult to achieve
Solution Approach 1:
The patent applies preliminary action by performing computational predictions and simulations before fabrication to identify optimal control parameter sets that will achieve desired transfer characteristics. The adaptive design process calculates transfer characteristics for multiple parameter sets in advance, selects the optimal set, and then fabricates devices based on these pre-determined parameters, thereby ensuring precise transfer characteristic control at nanoscale dimensions.
2Ease of manufacture
If conventional fabrication methods are used at nanoscale, then manufacturing simplicity is maintained, but quantum effects cause deviation from desired transfer characteristics
Solution Approach 1:
The patent implements feedback through an adaptive design loop where computational models predict transfer characteristics based on control parameters, compare predicted characteristics against desired characteristics, and iteratively adjust parameters to minimize deviations. This feedback mechanism accounts for quantum effects and ensures that fabricated devices achieve accurate transfer characteristics while maintaining fabrication simplicity through automated parameter optimization.
3Reliability
If control parameters are varied to achieve desired transfer characteristics, then device performance is improved, but the complexity of parameter selection and fabrication process increases
Solution Approach 1:
The patent applies self-service through automated computational methods that independently perform the complex task of identifying optimal control parameter sets. The system self-evaluates multiple parameter combinations, predicts their transfer characteristics, and automatically selects the optimal set without requiring manual intervention or complex experimental trial-and-error, thereby reducing parameter control complexity while maintaining high transfer characteristic accuracy.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The method enables the fabrication of semiconductor devices with precise transfer characteristics, even at non-thermal equilibrium, providing robustness against manufacturing inaccuracies and variations, achieving linear or squared electron transmission voltage characteristics.
Implementation Method 1
The computations may be derived from a propagation matrix method that solves the Schrödinger equation in a piece-wise fashion
Implementation Method 2
Electron motion in the semiconductor device may be substantially limited by quantum mechanical transmission
Implementation Method 3
The resulting electric fields may be large enough to give rise to tunneling and non-equilibrium behavior
Data Source
AI summary
A method of fabricating a semiconductor device so as to cause the device to have a desired transfer characteristic. Computations may be performed that predict a transfer characteristic of the semiconductor device for each of a plurality of different sets of values of available control parameters that may be used during the fabrication of the semiconductor device. A set of values of available control parameters that the computations predict will cause the semiconductor device to substantially provide the desired transfer characteristic may be identified, and the semiconductor device may be fabricated based on these identified values.