High-throughput micro-scale bandgap mapping for perovskite-inspired materials with complex composition space

Fang Sheng (), Kangyu Ji (), Linjie Dai, Alexander E. Siemenn, Eunice Aissi, Hamide Kavak, Basita Das, Tianran Liu, Shijing Sun and Tonio Buonassisi
Additional contact information
Fang Sheng: Massachusetts Institute of Technology
Kangyu Ji: Massachusetts Institute of Technology
Linjie Dai: Massachusetts Institute of Technology
Alexander E. Siemenn: Massachusetts Institute of Technology
Eunice Aissi: Massachusetts Institute of Technology
Hamide Kavak: Massachusetts Institute of Technology
Basita Das: Massachusetts Institute of Technology
Tianran Liu: Massachusetts Institute of Technology
Shijing Sun: University of Washington
Tonio Buonassisi: Massachusetts Institute of Technology

Nature Communications, 2025, vol. 16, issue 1, 1-8

Abstract: Abstract To realize the full promise of high-throughput experimental workflows, the rate of sample synthesis must be matched by that of characterization. Of growing interest are contactless optical techniques that can rapidly measure material homogeneity and properties. Here, we present a hyperspectral imaging method to measure local optical bandgap distributions within samples, utilizing spatially-resolved reflectance spectra coupled with automated data analysis. We collect approximately one million optical bandgap data across the compositional space of Cs3(BixSb1-x)2(BryI1-y)9 perovskite-inspired materials. Our results show non-monotonic bandgap variations (i.e., bandgap bowing) along six composition gradient sequences, in addition to identifying samples with multiple bandgaps in statistics. High-throughput transient absorption spectroscopy reveals that within these compositions, the depletion of the ground state carriers to excited states occurred at discrete energy levels with independent carrier dynamics, consistent with the bandgap observation and indicative of phase separation. This work demonstrates the potential for rapid optical measurements to assess material quality and homogeneity in a high-throughput experimental setting, supporting screening and recipe optimization of optoelectronic material candidates with desired carrier dynamics and optical properties.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-025-62774-y Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-62774-y

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-025-62774-y

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().