2024 AIChE Annual Meeting
Development of Algorithms for Quantum Material Measurements Under Extreme Conditions
We report our current development of the thermal puck hardware and measurement software required to collect thermometry data. When determining the thermal conductivity and Seebeck coefficient of a material, it is essential that thermometer measurements have reached stability. The software is used to collect the temperature data from these thermometers and ensure data stability. One challenge is determining a stability condition when a large outlier in the data is present. Many different filtering algorithms were considered. The chosen algorithm to be used is an exponentially weighted moving average filter with an arbitrary filter weight. The software must be able to ensure data accuracy and precision before accepting a set value while simultaneously controlling the measurement hardware.
Another major aspect of the software is the control of the Dynacool system and the lock-in amplifiers that measure the output voltages of the thermometers. Control of the Dynacool system is required to set the sample environment such as the temperature and magnetic field. A single measurement run can range from days to weeks, so constant human monitoring is not viable. As a result, automatic control of the Dynacool and lock-in amplifiers is required. The thermal puck and control software have both been developed simultaneously to meet requirements of the existing hardware and needs of the lab. Some materials to be tested are also being synthesized in the lab. These materials include FeGa3, CrSb2, and FeSb2.