摘要
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 approach.Herein,we demonstrate that ultrahigh thermoelectric performance in a Cu-doped PbSe-PbS system can be realized by HTP experimental screening and precise property modulation.Combining the HTP experimental technique with transport model analysis,an optimal Se/S ratio showing high thermoelectric performance has been efficiently screened out.Subsequently,based on the screened Se/S ratio,the doping content of Cu has been subtly adjusted to reach the optimum carrier concentration.As a result,an outstanding peak zT~1:6 is achieved at 873 K for a 1.8 at%Cu-doped PbSe_(0.6)S_(0.4) sample,which is the superior value among the n-type Te-free lead chalcogenides.We anticipate that current work will stimulate large-scale unitization of the HTP experimental technique in the thermoelectric field,which can greatly accelerate the research and development of new high-performance thermoelectric materials.
基金
This work was supported by the National Key Research and Development Program of China(Nos.2018YFB0703600 and 2018YFA0702100)
the National Natural Science Foundation of China(Grant Nos.51772186,51632005,and 51371194).