News

Computational study reveals the potential of mixed metal chalcohalides in future photovoltaic applications

CEST researchers have successfully identified new and promising candidates for photovoltaic applications using computational methods
graphic showing work flow with solar panel
Graphic showing workflow provided by Pascal Henkel

The CEST (Computational Electronic Structure Theory) group members Pascal Henkel and Patrick Rinke, in collaboration with researchers from the University of Tampere (Finland) and Xi'an University (China), have recently published a study in which they explore properties of mixed-metal chalcohalides using Density Functional Theory (DFT). Mixed-metal Chalcohalides are a class of compounds with potential interest for photovoltaic applications.

These semiconducting materials combine the optoelectronic properties of halide perovskites with the stability of metal chalcogenides. As a result, lead-free mixed-metal chalcohalides have the potential to overcome the stability and toxicity problems of other known halide perovskites and to facilitate the commercialization of novel solar cells. The objective of this study was to identify new mixed-metal chalcohalide materials and alloys that are stable and also suitable for indoor and/or outdoor photovoltaic applications. For this purpose, a total of 27 mixed-metal chalcohalides compounds were considered. In total, 12 promising materials were identified. Nine of these compounds are so far unknown and have been investigated for the first time in this study. In addition, the researchers identified 12 mixed-metal chalcohalides alloys that are suitable for photovoltaic applications and that offer the possibility to fine tune the materials properties for specific lighting conditions. The study provides a first step towards further research on mixed-metal chalcohalides and their future devices. 

Portrait photo showing young man with glasses
CEST researcher Pascal Henkel

So far, mixed-metal chalcohalide compounds have been scarcely explored and only a few of the compounds in the study were previously known (or had even been synthesized). Materials discovery of new mixed-metal chalcohalides through experimental synthesis is generally very time-consuming. Computational tools such as DFT explore materials in silico and can lead the way with accelerated materials discovery. The article was published in Chemistry of Materials.

For more details contact

  • Updated:
  • Published:
Share
URL copied!

Read more news

A snowy urban scene with modern buildings, a tram, and bicycles parked. People walk along the snow-covered paths.
Research & Art Published:

Significant donation to boost pavement engineering research and education

Companies and associations in the field have donated €400,000 to the School of Engineering.
Microscopic view of a larva with red and blue outlines showing swimming motion. Scale bar indicates 0.3 mm.
Press releases Published:

‘Mesoscale’ swimmers could pave way for drug delivery robots inside the body

Researchers have discovered how tiny organisms break the laws of physics to swim faster — such secrets of mesoscale physics and fluid dynamics can offer entirely new pathways for engineering and medicine.
HiFive research group: Joni Lappalainen, Juho Silmukari, Martina Čaić, Anna Viljakainen, Virpi Roto. Photo: Mikko Raskinen
Cooperation, Research & Art Published:

Design strengthens industrial competitiveness – human-centered factory work at the core

Factory work is undergoing a transformation: new technologies and artificial intelligence are changing the content and roles of work. Aalto University’s Department of Design is studying this change from a human-centered perspective in the HiFive project.
Researcher Tatsiana Padhaiskaya, School of Business
Research & Art Published:

Learning to slow down: cold-water swimming benefits explored in new study

Swimming in cold water offers a temporal slowdown, promoting stress management and mental clarity that lingers long after the experience, says research from Finland.