Machine Learning-Guided Discovery of Ternary Compounds Containing La, P, and Group 14 Elements
- Jiyang College of Zhejiang Agriculture and Forestry University, Zhuji (China); Ames Lab., Ames, IA (United States)
- Yantai University (China)
- Ames Lab., Ames, IA (United States); Iowa State Univ., Ames, IA (United States)
- Zhejiang Univ. of Technology, Hangzhou (China); Ames Lab., Ames, IA (United States)
- Guangdong University of Technology, Guangzhou (China)
In this work, we integrate a deep machine learning (ML) method with first-principles calculations to efficiently search for the energetically favorable ternary compounds. Using La–Si–P as a prototype system, we demonstrate that ML-guided first-principles calculations can efficiently explore crystal structures and their relative energetic stabilities, thus greatly accelerate the pace of material discovery. A number of new La–Si–P ternary compounds with formation energies less than 30 meV/atom above the known ternary convex hull are discovered. Among them, the formation energies of La5SiP3 and La2SiP phases are only 2 and 10 meV/atom, respectively, above the convex hull. These two compounds are dynamically stable with no imaginary phonon modes. Moreover, by replacing Si with heavier-group 14 elements in the eight lowest-energy La–Si–P structures from our ML-guided predictions, a number of low-energy La–X–P phases (X = Ge, Sn, Pb) are predicted.
- Research Organization:
- Ames Laboratory (AMES), Ames, IA (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), Basic Energy Sciences (BES). Materials Sciences & Engineering Division; USDOE Laboratory Directed Research and Development (LDRD) Program; National Natural Science Foundation of China (NSFC)
- Grant/Contract Number:
- AC02-07CH11358
- OSTI ID:
- 1923474
- Report Number(s):
- IS-J-10,915
- Journal Information:
- Inorganic Chemistry, Journal Name: Inorganic Chemistry Journal Issue: 42 Vol. 61; ISSN 0020-1669
- Publisher:
- American Chemical Society (ACS)Copyright Statement
- Country of Publication:
- United States
- Language:
- English
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