Inverse Design of Optoelectronic Phosphosulfides
The IDOL project aims to discover earth-abundant semiconductors with high optoelectronic quality through a hybrid approach of experimental and computational methods, enhancing sustainable energy technologies.
Projectdetails
Introduction
Progress in sustainable energy technology relies on the discovery of new earth-abundant materials with unprecedented ability to conduct ions, catalyze reactions, transport photogenerated carriers, etc. The main scientific question is how to find the materials with exactly the desired functionality from the huge pool of all possible materials (more than 10^12).
Objectives
In IDOL, we will attempt to answer the long-standing question of inverse materials design. Our targeted functionality is high optoelectronic quality (i.e., long photocarrier lifetimes, high mobilities, and high absorption coefficient) in an earth-abundant semiconductor with a band gap above 1.5 eV. This will be a breakthrough in three areas key to a sustainable energy future:
- Multijunction photovoltaics
- Light-emitting diodes
- Solar fuels
Methodology
The IDOL approach is a combination of experimental and computational research, focusing on the most device-relevant material form: thin films. Initially, we will restrict our search to the intriguing and still highly underexplored family of phosphosulfides (PSs). Later, we will extend our insights to other chemistries. From my preliminary investigation, many PSs should exhibit high mobilities and appropriate band gaps.
Research Steps
We will break the inverse design problem into logically connected steps:
- Application-specific figures of merit
- Defect properties
- Generic optoelectronic properties
- Structure
- Growth conditions
- Composition
Experimental Approach
We will exploit a unique combinatorial deposition system to grow candidate materials and characterize them using high throughput facilities at our host. For properties not experimentally accessible, we will employ first-principles calculations.
Data Analysis
This hybrid dataset will be analyzed step-by-step by human intelligence and machine learning to formulate design criteria and generate new materials with the desired properties. The discovered PS with the highest figures of merit will be incorporated into an actual photovoltaic device.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 2.263.750 |
Totale projectbegroting | € 2.263.750 |
Tijdlijn
Startdatum | 1-1-2023 |
Einddatum | 31-12-2027 |
Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- DANMARKS TEKNISKE UNIVERSITETpenvoerder
Land(en)
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