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相关概念视频

Carrier Transport01:21

Carrier Transport

468
The generation of electrical current in semiconductors is fundamentally driven by two mechanisms: drift and diffusion. These processes are essential for the functionality and performance of semiconductor-based devices.
Drift Current:
The drift of charge carriers is started by an external electric field (E). Charged particles, such as electrons and holes, experience an acceleration between collisions with lattice atoms. For electrons, this results in a drift velocity (vd) given by:
468
Types of Semiconductors01:20

Types of Semiconductors

657
Intrinsic semiconductors are highly pure materials with no impurities. At absolute zero, these semiconductors behave as perfect insulators because all the valence electrons are bound, and the conduction band is empty, disallowing electrical conduction. The Fermi level is a concept used to describe the probability of occupancy of energy levels by electrons at thermal equilibrium. In intrinsic semiconductors, the Fermi level is positioned at the midpoint of the energy gap at absolute zero. When...
657
Metal-Semiconductor Junctions01:24

Metal-Semiconductor Junctions

386
The contact of metal and semiconductor can lead to the formation of a junction with either Schottky or Ohmic behavior.
Schottky Barriers
Schottky barriers arise when a metal with a work function (Φm) contacts a semiconductor with a different work function (Φs). Initially, electrons transfer until the Fermi levels of the metal and semiconductor align at equilibrium. For instance, if Φm > Φs, the semiconductor Fermi level is higher than the metal's before contact. The...
386
Gauss's Law in Dielectrics01:17

Gauss's Law in Dielectrics

4.5K
Consider a polar dielectric placed in an external field. In such a dielectric, opposite charges on adjacent dipoles neutralize each other, such that the net charge within the dielectric is zero. When a polar dielectric is inserted in between the capacitor plates, an electric field is generated due to the presence of net charges near the edge of the dielectric and the metal plates interface. Since the external electrical field merely aligns the dipoles, the dielectric as a whole is neutral. An...
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Biasing of Metal-Semiconductor Junctions01:27

Biasing of Metal-Semiconductor Junctions

281
Biasing metal-semiconductor junctions involves applying a voltage across the junction. Specifically, the metal is connected to a voltage source, while the semiconductor is grounded. This technique is essential for controlling the direction and magnitude of current flow in electronic devices, including diodes, transistors, and photovoltaic cells.
In Schottky junctions, where the semiconductor is n-type, applying a positive voltage to the metal relative to the semiconductor reduces its Fermi...
281
Electrostatic Boundary Conditions in Dielectrics01:27

Electrostatic Boundary Conditions in Dielectrics

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When an electric field passes from one homogeneous medium to another, crossing the boundary between the two mediums imparts a discontinuity in the electric field. This results in electrostatic boundary conditions that depend on the type of mediums the field propagates through.
Consider a case where both the mediums across a boundary are two different dielectric materials. Recall that the electric field and electric displacement are proportional and related through the material's...
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用修改过程的高斯过程回归模型预测绝缘体和半导体之间的接口状态密度.

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  • 1Graduate School of Science and Technology, Nara Institute of Science and Technology, 8916-5 Takayama-cho, Ikoma 630-0192, Nara, Japan.

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概括

利用未经处理的接口数据,改善了对紫外线/臭氧处理的化 (GaN) 半导体设备的预测. 这种方法增强了GaN功率半导体应用的预测建模.

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科学领域:

  • 材料科学 材料科学 材料科学
  • 半导体物理 半导体物理
  • 化学工程是化学工程的重要组成部分.

背景情况:

  • 优化实验室规模的流程需要有效地利用有限的数据.
  • 过程开发涉及频繁的修改,创建相关但不同的数据集.
  • 准确预测绝缘体-半导体接口质量对于GaN电源设备至关重要.

研究的目的:

  • 为了预测绝缘体/化 (GaN) 接口的接口状态密度 (D_it).
  • 评估用于D_it预测的模型构建策略,特别是使用有限和多样化的数据集.
  • 评估紫外线 (UV) /臭氧气体处理对接口质量的影响.

主要方法:

  • 对D_it预测的各种模型构建方法的回顾性评估.
  • 利用未处理接口的数据来改进处理接口的模型.
  • 使用基于自动相关性向量的高斯过程回归与优化的超参数.

主要成果:

  • 来自未经处理的接口的数据显著改善了对UV/O3处理的GaN接口的D_it预测.
  • 在 (Si) 接口中没有观察到这种性能改善.
  • 高斯过程回归证明了高预测性能和可靠的不确定性估计.

结论:

  • 利用相关的,尽管不同,数据集提高了GaN接口的预测模型准确性.
  • 高斯过程回归是预测接口质量和量化预测不确定性的合适方法.
  • 通过交叉验证进行超参数优化是过程开发中强大的高斯过程模型的关键.