7/ By the way, if you're interested, I have both of Bronstein’s original papers in English. Feel free to reach out!

6/ I also feel fortunate to be surrounded by so many brilliant researchers whose fruitful discussions, comments, and feedback helped shape this work.

A special thanks to Prof. Alexander Burkov, who first introduced me to Bronstein’s works and encouraged my curiosity to explore this.

5/ I hope this work will be especially useful for students starting in thermoelectrics.

It may helps in understanding the effective mass model, a key concept widely used in thermoelectric materials research. 🧑‍🔬📚

4/ Even more interestingly, the formula provides a direct thermopower-conductivity relation and pretty accurately predicts maximum power factor. It can be used as a complement or an alternative tool (in some cases) for analyzing electron transport when Hall measurements are unaccessible.

3/ In this work, we go beyond the historical debate and focus on applicability limits of the Pisarenko formula. Traditionally considered valid only for non-degenerate semiconductors, it is actually remains accurate even beyond this limit!

2/ A year ago, I wrote about the historical uncertainty behind the Pisarenko formula. Who was first — Matvei Bronstein or Nikolai Pisarenko? The mystery remains unsolved, but it kept intriguing me and eventually motivated to turn that post to a small study.

Moreover, the formula provides a simple thermopower-conductivity relation, offering a valuable alternative for analyzing electron transport when Hall measurements are unavailable or challenging to perform.
I hope this work will be especially useful for students entering the field of thermoelectrics.

This mystery kept intriguing me and motivated to turn that post into a small study.
Here, we go beyond the historical debate and explore the Pisarenko formula's practical potential. Traditionally considered valid only for non-degenerate semiconductors, it actually remains accurate beyond this limit.

Maybe that codeberg.org/hrbrmstr/spa...?

7/ Also, Cédric Bourgès recently published another exciting paper on optimizing kesterite synthesis conditions using #machinelearning.

Check it out here: www.sciencedirect.com/science/arti... (open access). #ML #materialsscience

6/ By combining accurate Cp measurements and analysis, we hope our study offers fresh insights into kesterites' thermo-physical properties. Now I understand more about Cp and its implications, and I'm grateful to my co-authors for that. I've learned a lot from this study.

5/

- low-T Cp data can be useful for qualitative assessment of the #disorder degree, which is not always possible with XRD or TEM.
- even though Cu-Zn off-stoichiometry reduces the structural transition temperature and its entropy variation, it barely affects Cp values.

4/ There are several key takeaways:
- when Cp measurements are not accessible, the Dulong-Petit approximation gives a reasonably close estimate to the experimental Cp values (better then nothing!).

3/ Why is this important? Incorrect Cp values lead to incorrect (usually overestimated) zT values. By analyzing Cp over a wide temperature range (2–773 K), we discuss how structural transitions and off-stoichiometry affect kesterite's specific heat capacity.

2/ This study focuses on the specific heat capacity (Cp) of polycrystalline Cu2+xZn1−xSnS4 kesterite, a promising material for energy applications. Our analysis revealed significant discrepancies in Cp values reported for polycrystalline kesterites.

Currently, I'm going through perhaps the most challenging time in my life. Emigration, two small children, the war in Ukraine (where I was born), and burnout...