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Award ID contains: 2322706

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  1. The characteristic statistical response of superparamagnetic materials under magnetic stimuli provides quantitative insight into structure–function relationships, facilitating comparative data interpretation and paving the way for the design of superior functional materials. 
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  2. This Arduino-based data logger logs temperature, gas flow, and gas composition data from chemical reactions using components that are either readily available in most academic chemistry labs or are relatively low cost. The repository includes: Arduino code Python notebook for handling calibration and data analysis a bill of materials 
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  3. A Python library for handling variable field magnetization data and fitting it to multiple Cauchy distributions. 
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  4. A Python library to facilitate data analysis in magnetochemistry research. 
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