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Tanuj Trivedi

Researcher at Intel

Publications -  15
Citations -  320

Tanuj Trivedi is an academic researcher from Intel. The author has contributed to research in topics: Topological insulator & Bismuth. The author has an hindex of 7, co-authored 15 publications receiving 266 citations. Previous affiliations of Tanuj Trivedi include University of Texas at Austin.

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Journal ArticleDOI

Miniature Passive Wireless Resonant Platform for Chemical Memory-Based Threshold Sensing

TL;DR: In this paper, the authors present a miniature passive wireless resonant sensor and its use in a novel platform for chemical-memory-based threshold sensing, which is microfabricated with polyimide passivation and utilize various customizable polymer sensor layers allowing for capacitive transduction.
Journal ArticleDOI

Group Velocity Estimation and Defect Localization in Magneto-Inductive Waveguides

TL;DR: In this article, a 1-D magneto-inductive waveguide (MIW) is used to estimate the group velocity and time-domain reflectometry (TDR) measurements.
Proceedings ArticleDOI

Improved magneto-inductive waveguide as wireless sensor net for structural health monitoring

TL;DR: This paper summarizes ongoing work on applying passive magneto-inductive waveguides as wireless sensor arrays to monitor corrosion in infrastructure systems and develops a new combined technique to determine location of defects.
Journal ArticleDOI

Quantitative Modeling of Phase Detection in Passive Inductively Coupled Resonant Sensors

Abstract: We develop a model to quantify the signal strength in passive inductively coupled resonant sensor (PICRS) systems. We also explore the relationship between detectability and signal strength, which is critical for signal strength-sensitive applications. Either the phase or magnitude of the input impedance of a coupled reader can be used as a measurand; here, we focus on phase, but the model can be easily adapted to other measurands. The model employs dimensionless parameters, i.e., the quality factor ( $Q$ ) of the PICRS and coupling factor ( $k$ ) between the reader and PICRS. We experimentally verify the model using readers and sensors of different $Q$ and $k$ factors. The model incorporates the effect of the reader coil, which is essential for co-selection of readers and sensors. This model can find broader application as a tool for the design and detection of nonisochronous weakly coupled resonant sensors.