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Ming-Feng Wu

Researcher at University of Texas at Austin

Publications -  22
Citations -  271

Ming-Feng Wu is an academic researcher from University of Texas at Austin. The author has contributed to research in topics: Metamaterial & Permittivity. The author has an hindex of 8, co-authored 22 publications receiving 268 citations. Previous affiliations of Ming-Feng Wu include Applied Materials & Harbin Institute of Technology.

Papers
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Patent

Feol low-k spacers

TL;DR: In this article, the authors describe the formation of a transistor using low-K dielectric constant material (e.g., a void) between an elongated gate and a contact to increase the attainable switching speed of the device.
Journal ArticleDOI

A Multiple-Grid Adaptive Integral Method for Multi-Region Problems

TL;DR: Numerical results validate the method's accuracy and reduced complexity for large-scale canonical structures with large numbers of regions and higher fidelity models for the trunk material and branch geometry are needed for accurate calculation of horizontally-polarized field propagation.
Proceedings ArticleDOI

A compact equivalent circuit model for the SRR structure in metamaterials

TL;DR: In this article, a compact equivalent circuit model is proposed to characterize the split ring resonator structure in metamaterials, based on the modeling approaches of the spiral inductors in MMIC.
Proceedings ArticleDOI

Modeling the effects of an individual SRR by equivalent circuit method

TL;DR: In this paper, a theoretical equivalent circuit model was proposed to characterize the split ring resonator (SRR), based on the analysis of the individual SRR geometry configuration and the distribution relationship of the electric charge and electric current in it.
Journal ArticleDOI

Research on the Negative Permittivity Effect of the Thin Wires Array in Left-Handed Material by Transmission Line Theory

TL;DR: In this paper, the negative permittivity effect of the thin wire array in left-handed material is clearly described by the transmission line theory, and the validity of the model is proven by numerical simulations.