News Article

AI May Help Make Spray-on Perovskite Cells


Review of over 2,000 publications could help refine the best recipes for making stable solar cells

A research team at the University of Central Florida has used Machine Learning as a way to optimise the materials to make stable perovskite solar cells (PSC). The team's work was published in the Dec. 13 in the Advanced Energy Materials journal.

The team looked at more than 2,000 peer-reviewed publications about perovskites and collected more than 300 data points then fed then into the AI (amhcine-learning) system they created. The system was able to analyse the information and predict which perovskites recipe would work best.

"Our results demonstrate that machine learning tools can be used for crafting perovskite materials and investigating the physics behind developing highly efficient PSCs," says Jayan Thomas (pictured above), the study's lead author and an associate professor at the NanoScience Technology Center. "This can be a guide to design new materials as evidenced by our experimental demonstration."

If this model bears out, it means researchers could identify the best formula to create a world standard. Then spray-on solar cells may happen in our lifetime, the researchers say.

"This is a promising finding because we use data from real experiments to predict and obtain a similar trend from the theoretical calculation, which is new for PSCs. We also predicted the best recipe to make PSC with different bandgap perovskites," says Thomas and his graduate student, Jinxin Li, who is the first author of this paper. "Perovskites have been a hot research topic for the past ten years, but we think we really have something here that can move us forward."

Otovo Raises €30 Million To Accelerate Entry To Six New Markets
IBC SOLAR Energy Is Expanding Its Project Portfolio In Hungary
Another Green Check For The Lead-free1 REC Alpha Pure
Encavis Increases Green Electricity Production By 29% In 2021
Anesco Gets The Green Light For Trio Of Solar Farms
Cation Disorder Engineering Shows Potential Of AgBiS2 Solar Cells
German Teams Combine PV Workhorse With Perovskite
BadenovaWärmeplus And SC Freiburg Implement World's Largest PV System
Sonnedix Achieve Commercial Operation Of 40MW Soma PV Plant
Fluke Celebrates Engineering Innovation On World Engineering Day
ASCA Acquires The World’s Largest Intellectual Property Portfolio For Printed Organic Photovoltaics
Neoen Chooses Saft To Guarantee Solar Storage Performance In Southern France
Sharp Expands Half-cut Cell Portfolio With New 410W And 400W M10 PV Panels
Q CELLS Modules For Europe’s First Solar-powered Aircraft Charging Point
Sonnedix Japan Starts Construction Of Sonnedix Motegi Solar PV Plant
Q CELLS And Helmholtz-Zentrum Berlin Achieve Efficiency Of 28.7%
Scaling Up Perovskite Solar Cells With Quantum Dots
Perovskite Research Offers New Scope For Solar Cells
From Lab To Fab: World Record Perovskite Tandem
Ingeteam Solar Inverters In North Macedonia's First Utility-scale Solar PV Plant
State-of-the-Art Solar Training Centre In Ghana Revealed
Andea Enters Strategic Partnership With Heliogen
Solartech Pioneer Solivus Lands £2.4 Million Investment
Sharp Announce Addition New PV Panels To Its Half-cut Cell Portfolio

Search the news archive

To close this popup you can press escape or click the close icon.
Register - Step 1

You may choose to subscribe to the Solar + Power Magazine, the Solar + Power Newsletter, or both. You may also request additional information if required, before submitting your application.

Please subscribe me to:


You chose the industry type of "Other"

Please enter the industry that you work in:
Please enter the industry that you work in:
Live Event