Broadband S-parameter measurements of Parylene C microwave microfluidic devices from 100 MHz - 110 GHz. The Parylene C devices consisted of 400 nm platinum coplanar waveguides (CPW) (50 um center conductor, 5 um gaps, 200 um ground planes) deposited on fused silica with 6.5 um of Parylene C on top, capped with a PDMS microfluidic layer aligned over the CPWs. The dimensions of the PDMS microfluidic channels were approximately 210 um wide by 100 um deep. The total CPW line length was 10.000 mm and the channel length was 4.160 mm, where the channel was aligned over the center of the CPW. We measured the S-parameters of Parylene C devices filled with three different fluid conditions at different intervals over a 2 month period: H2O at 20 degrees Celsius, 1xPBS (phosphate-buffered saline) at 20 degrees Celsius, and 1xPBS at 37 degrees Celsius. We obtained measurements of both the fluid-filled and empty channel at each measurement day. We measured broadband S-parameters with a vector network analyzer and extender heads at a source power of -17 dBm on a temperature-controlled probe station. The S-parameters were calibrated to the probe tips with measurements of a gold reference chip in combination with multiline TRL in the NIST Microwave Uncertainty Framework. The differences in S-parameters from day 0 were plotted over time to observe changes in the dielectric properties of the Parylene C device during soaking.

A set of 10 anaerobic gasification experiments was conducted on the poly(methyl methacrylate), PMMA, made available to participants in the MaCFP-2 Workshop. In each test, samples (i.e., PMMA discs of approximate dimensions: 7 cm diameter, 5.8 mm thickness) were exposed to radiant heating (nominally 50 kW m-2 across their top surface) in an anaerobic environment. Samples were insulated at their back surface and continuously heated until complete decomposition was observed. Test boundary conditions (e.g., time- and spatially-resolved measurements of incident radiant heat flux; chamber wall temperatures) were carefully characterized.Six additional tests were also conducted to measure the temperature rise of inert materials (Copper and Kaowool PM Insulation) exposed to the same conditions (i.e., Nitrogen flow rate + incident radiant heat flux) as used during tests on PMMA samples. These test results may be used to validate material thermophysical properties and boundary conditions (e.g., convection heat transfer) controlling heat transfer in this system.

Our data can be used by modeler to develop mathematical models to simulate and predict the fate and transport of the next-generation multifunctional carbon-based metal oxide nanohybrids in the subsurface environments. Furthermore, the data can also be employed to assess the potential environmental impacts and risks associated with the release and transport of carbon-based metal oxide nanohybrids in the subsurface under environmentally relevant physicochemical conditions. This dataset is associated with the following publication: Wang, D., C. Park, A. Masud, N. Aich, and C. Su. Carboxymethylcellulose Mediates the Transport of Carbon Nanotube-Magnetite Nanohybrid Aggregates in Water-Saturated Porous Media. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 51: 12405-12415, (2017).

Supplemental data for "Comparison of measured and simulated spin-wave mode spectra of magnetic nanostructures" by H. T. Nembach, R.D. McMichael, M.L. Schneider, J.M. Shaw, T.J. Silva.1) Experimental spectra of approximately elliptical, 100 nm or 200 nm elliptical magnetic structures. 2) SEM images of the magnetic structures 3) Scripts and data used in micromagnetic modeling and simulated measurements of the structures. Experiment: In this work, we prepared two sets of Ni80Fe20 elliptical nanomagnets with nominal long axes lengths (short axes lengths) of 240 nm (200 nm) and 120 nm (100 nm): Thin-film layers of 3 nm Ta/10 nm Ni80Fe20/5 nm Si3N4 were dc-magnetron sputtered onto a sapphire substrate before a 15-nm diamond-like carbon (DLC) layer was deposited via ion-beam deposition in a separate vacuum chamber. The spin wave mode spectra of the magnetization dynamics were measured with a heterodyne magneto-optical microwave microscope (H-MOMM) Simulations: We carried out micromagnetic simulations using the Object Oriented MicroMagnetic Framework (OommF). To determine the shape for modeled nanomagnets, greyscale SEM images of the nanomagnets were converted into binary images using a thresholding algorithm. The original SEM images were given a Gaussian blur over 1.4 nm (3 pixels), rescaled by 25 % and given a secondary blur over 3.8 nm. A threshold value was determined using Otsu's method. The simulated spectra were extracted from impulse response calculations made at an array of applied field values in the experimental range. The modeling also provides the spatial profile of the spin wave modes. The bulk of the data is associated with the micromagnetic modeling. Files include OommF input '.mif' scripts, sample masks, modeling output and python scripts for analysis and plotting, and the resulting figures.

The data are associated with figures in A. P. Kotula, R. Tao, J. Tu, Y. Lee, G. A. Holmes, Advanced Characterization of the Cure Kinetics of a Liquid Encapsulant, 2025 IEEE 75th Electronic Components and Technology Conference (ECTC), Dallas, Texas, May 27 - 30, 2025.

The data are associated with figures in A. P. Kotula, R. Tao, J. Tu, Y. Lee, G. A. Holmes, Advanced Characterization of the Cure Kinetics of a Liquid Encapsulant, 2025 IEEE 75th Electronic Components and Technology Conference (ECTC), Dallas, Texas, May 27 - 30, 2025.

Electrolytic capacitors are used in several applications rang- ing from power supplies for safety critical avionics equipment to power drivers for electro-mechanical actuators. Past expe- riences show that capacitors tend to degrade and fail faster when subjected to high electrical or thermal stress condi- tions during operations. This makes them good candidates for prognostics and health management. Model-based prognos- tics captures system knowledge in the form of physics-based models of components in order to obtain accurate predictions of end of life based on their current state of health and their anticipated future use and operational conditions. The focus of this paper is on deriving first principles degradation mod- els for thermal stress conditions and implementing Bayesian framework for making remaining useful life predictions. Data collected from simultaneous experiments are used to validate the models. Our overall goal is to derive accurate models of capacitor degradation, and use them to remaining useful life in DC-DC converters.

,A set of data collected as a result of realization of the research project entitled "Study of magnetic performance of the nanosized ferromagnetic nanowires ordered layout for nanotechnological applications by theoretical simulations". The project was financed by the National Science Centre within the MINIATURA-7 competition. The data contain the results of simulations of magnetic properties of two tested materials: a system of ferromagnetic nanowires regularly arranged on the surface of the YIG layer, and a system of magnetic molecules located on the surface of the YIG layer. Data on the temporal change of magnetization and magnetic field for both systems collected in the form of zarr.zip files (for details see ReadMe.txt), and in the form of CSV tables.,

Electrolytic capacitors are used in several applications rang- ing from power supplies on safety critical avionics equipment to power drivers for electro-mechanical actuators. This makes them good candidates for prognostics and health management research. Prognostics provides a way to assess remaining use- ful life of components or systems based on their current state of health and their anticipated future use and operational con- ditions. Past experiences show that capacitors tend to degrade and fail faster under high electrical and thermal stress condi- tions that they are often subjected to during operations. In this work, we study the effects of accelerated aging due to thermal stress on different sets of capacitors under different conditions. Our focus is on deriving first principles degra- dation models for thermal stress conditions. Data collected from simultaneous experiments are used to validate the de- sired models. Our overall goal is to derive accurate models of capacitor degradation, and use them to predict performance changes in DC-DC converters.