Exploring Porosity in Battery Electrodes: Terahertz Technology Unveiling Remote Sensing

 Zarrinkhat, Faezeh, Arturo I. Hernandez-Serrano, Alasdair Pentland, Philip F. Taday, Donald D. Arnone, and Michael Pepper. "Exploring porosity in battery electrodes: terahertz technology unveiling remote sensing." In 2024 49th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz), pp. 1-2. IEEE, 2024.

Abstract:

Porosity significantly influences lithium-ion battery performance, impacting cell capacity, voltage, and specific power - critical to designers. Terahertz technology enables non-destructive, remote porosity assessment, addressing limitations in current measurement methods.

see https://ieeexplore.ieee.org/abstract/document/10697663

Optical and terahertz methods for studying easel oil paintings

 Bolshakov, Ivan S., Anastasiya A. Lykina, Olga V. Kravtsenyuk, Sergey V. Sirro, Vyacheslav Y. Toropov, Andrey R. Tsvetkov, Philip F. Taday, Donald D. Arnone, and Olga A. Smolyanskaya. "Optical and terahertz methods for studying easel oil paintings." Journal of Optical Technology 91, no. 5 (2024): 323-329.

Abstract

Subject of study. This study focuses on the application of terahertz tomography methods to easel oil paintings. Aim of study. The aim of this study is to assess the effectiveness of terahertz tomography in analyzing the layered structure of artworks and detecting hidden damage, elements, and annotations. Method. The study employed traditional analysis methods, such as infrared, ultraviolet fluorescence, and X-ray imaging. Special emphasis was placed on terahertz tomography, which enables non-invasive imaging of internal structures. Main results. The study showed that terahertz tomography allows for the differentiation of materials used in oil paintings. This method enables a detailed examination of the layered structure without damaging the object under investigation, revealing elements that cannot be detected using other methods. The novelty of this study lies in the proposed application of terahertz tomography for preliminary in situ examination of paintings to detect hidden defects and possible inscriptions on the reverse side of artworks. Practical significance. The results obtained from this study are valuable for researching, assessing the preservation status of, and restoring oil paintings. Specifically, the proposed method is suitable for detecting defects and hidden elements beneath paint layers without damaging the colorful surface. The terahertz tomography method proves particularly effective when applied in situ, as it does not require paintings to be dismantled.

see https://opg.optica.org/jot/abstract.cfm?uri=jot-91-5-323

The Measurement of the Coating Uniformity of Lithium Iron Phosphate Cathodes on Metal Substrates with Terahertz Time-domain Spectroscopy

 Zarrinkhat, Faezeh, Alasdair Pentland, Carl Reynolds, Emma Kendrick, and Philip F. Taday. "The Measurement of the Coating Uniformity of Lithium Iron Phosphate Cathodes on Metal Substrates with Terahertz Time-domain Spectroscopy." In 2023 48th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz), pp. 1-2. IEEE, 2023.

Abstract:

For the first time, the thickness uniformity of lithium iron phosphate (LFP) cathodes are measured using terahertz time-domain spectroscopy. Cathodes are widely manufactured with cobalt, however providing cobalt material comes with supply and health issues. LFP cathodes are introduced as an alternative to tackle this challenge. The aim is to use terahertz pulses to generate an on-line tool to undertake manufacturing process control. Different thickness of cathodes compressed to different densities is measured and the uniformity of their coating is inspected.

see https://ieeexplore.ieee.org/abstract/document/10299358

Self-referencing Reflection Sensor for Industrial Applications

Zarrinkhat, Faezeh, Bryan Cole, Alasdair Pentland, and Philip F. Taday. "Self-referencing reflection sensor for industrial applications." In 2023 48th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz), pp. 1-2. IEEE, 2023. 

Abstract:

Terahertz sensors have found their way into many industrial applications, though undertaking regular reference measurements could be inconvenient on some occasions. A sensor with a self-referencing (SR) mechanism (in a linear configuration) is designed and manufactured to tackle the challenge. The sensor head is used on Lithium Iron Phosphate (LFP) cathodes to report the thickness and refractive index of the material.

see https://ieeexplore.ieee.org/abstract/document/10299020

Incorporating Time-Domain Reflectometry in Chip-Level Failure Analysis Workflow: Case Studies

 Liao, Joy Y., Khanh Giang, Timothy Pham, and Howard Lee Marks. "Incorporating time-domain reflectometry in chip-level failure analysis workflow: case studies." In International Symposium for Testing and Failure Analysis, vol. 84741, pp. 145-150. ASM International, 2023.

Abstract

Non-destructive electrical fault isolation (FI) techniques such as emission- and laser-based techniques have been utilized widely for chip-level failure analysis (FA). However, these techniques by themselves can sometimes be inadequate for certain failure modes. In this paper, we present six FA case studies using Time-domain Reflectometry (Electro-optical terahertz pulse reflectometry, EOTPR) in combination with the traditional FI techniques. We also present continuing development in making EOTPR accessible to the semiconductor process and packaging communities.

see https://dl.asminternational.org/istfa/proceedings-abstract/ISTFA2023/84741/145/28577