Authors
Anders Bæk Borup, Bo Brummerstedt Iversen
Published in
Advanced materials (Deerfield Beach, Fla.). Pages e75213. Oct 05, 2026. Epub Oct 05, 2026.
Abstract
Machine learning and artificial intelligence approaches are expected to accelerate the development of new materials, for example through automated synthesis. Here, we investigate another approach to accelerate materials discovery, namely in situ synchrotron Powder x-ray diffraction (PXRD), which enables efficient exploration of a large range of synthesis parameters to identify optimal synthesis conditions. We study the solvothermal formation of PdxMy (M═Si, Ge, Sn, Pb) nanoparticles with varying temperature, solvent, and metal precursor. Intermetallic phases are obtained for all systems except for PdxSiy, and specific conditions are identified for preparing Pd25Ge9, Pd2Ge, SnPd2, Sn13Pd20, SnPd, Pb3Pd5, Pb9Pd13, PbPd, and Pb2Pd intermetallic phases. A general formation mechanism is suggested, where Pd nanoparticles are formed initially, followed by adsorption and diffusion of the secondary metal to form intermetallic phases. Based on the learnings from the in situ experiments, SnPd2, Sn13Pd20, and SnPd nanoparticles are synthesized ex situ in a simple solvothermal process. Scanning transmission electron microscopy-energy-dispersive x-ray spectroscopy (STEM-EDS) establishes a gradient of Sn across the nanoparticles with a Pd-rich core and increasing Sn content towards the edges, reflecting the diffusion of Sn into the initial Pd nanoparticles and thereby corroborating the formation mechanism observed from the in situ data.
PMID:
42831599
Bibliographic data and abstract were imported from PubMed on 05 Oct 2026.
Read full publication at:
Please sign in
to see all details.
Advertisement
Stats
- Recommendations n/a n/a positive of 0 vote(s)
- Views 12
- Comments 0