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High Thermoelectric Performance of Cu-Doped PbSe-PbS System Enabled by High-Throughput Experimental Screening
Recent advances in high-throughput (HTP) computational power and machine learning have led to great achievements in exploration of new thermoelectric materials. However, experimental discovery and optimization of thermoelectric materials have long relied on the traditional Edisonian trial and error...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | Research (Wash D C) |
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| Κύριοι συγγραφείς: | , , , , , , , , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
AAAS
2020
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7080995/ https://ncbi.nlm.nih.gov/pubmed/32211611 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.34133/2020/1736798 |
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