New Patents

2/5/2016

Doug Werner, John L. and Genevieve H. McCain Chair Professor of Electrical Engineering

"Isotropic Metamaterial Lens for Magnetic Imaging Applications"
U.S. Patent No. 9,140,767
Abstract: Examples of the present invention include metamaterial lenses that allow enhanced resolution imaging, for example in MRI apparatus. An example metamaterial may be configured to have μ=−1 along three orthogonal axes. Superior performance was demonstrated using such improved designs, and in some examples, imaging resolution better than λ/500 was obtained. The use of one or more lumped reactive elements in a unit cell, such as one or more lumped capacitors and/or one or more lumped inductors, allowed unit cell dimensions and hence resolution to be dramatically enhanced. In some examples, a cubic unit cell was used with an essentially isotropic magnetic permeability of μ=−1 obtained at an operating electromagnetic frequency and wavelength (λ).

Srinivas A. Tadigadapa, Professor of Electrical Engineering

"Methods and Apparatus for Ultra-Sensitive Temperature Detection Using Resonant DevicesU.S. Patent No. 9,121,771
Abstract: Methods, apparatus, and systems to improve thermal sensitivity of resonant circuits. One aspect utilizes tracking near-resonance complex impedance for a quartz resonator based calorimeter sensor to derive ultra-sensitive temperature measurement from the sensor. Another aspect includes a quartz resonant or -based calorimetric sensor placed close to but not touching the analyte being measured to eliminate mass loading effect on the temperature measurement.

 

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MEDIA CONTACT:

Rebekka Coakley

rac29@psu.edu

Doug Werner

Doug Werner

Srinivas A. Tadigadapa

Srinivas A. Tadigadapa

 
 

About

The School of Electrical Engineering and Computer Science was created in the spring of 2015 to allow greater access to courses offered by both departments for undergraduate and graduate students in exciting collaborative research in fields.

We offer B.S. degrees in electrical engineering, computer science, computer engineering and data science and graduate degrees (master's degrees and Ph.D.'s) in electrical engineering and computer science and engineering. EECS focuses on the convergence of technologies and disciplines to meet today’s industrial demands.

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