| . |  |
. |
| . | |
. |
 by Staff Writers Raleigh NC (SPX) Jan 12, 2021
North Carolina State University-led researchers have developed an analytical measurement "framework" which could allow organic solar cell researchers and manufacturers to determine which materials will produce the most stable solar cells prior to manufacture. Organic solar cells have increased in efficiency over the past decades, but researchers and manufacturers still struggle with determining which material combinations work best and why, as well as with achieving stable morphology and operation. "There is still a lot of 'trial and error' guesswork involved in identifying promising materials for these solar cells," says Harald Ade, Goodnight Innovation Distinguished Professor of Physics at NC State and co-corresponding author of the research. "However, we found that if you understand two important parameters for the materials being used, you can predict how stable the active layer morphology will be, which in turn affects efficiency over time." The parameters in question are the elastic modulus and glass transition - essentially how stiff the material is and at what temperature the material transitions from a rigid state to a rubbery or viscous fluid state. "The most efficient solar cells are composed of a blend of materials that typically have poor miscibility," says Brendan O'Connor, associate professor of mechanical and aerospace engineering at NC State and co-corresponding author of the research. "Ideally, these blends need to be mixed during fabrication to an optimized composition, but over time they can separate or diffuse into domains that are too pure, which leads to device degradation. "We wanted to understand what drives this instability in composition. We found that the molecular interactions that fundamentally drive diffusion behavior could be captured with the 'proxy-parameters' of elastic modulus and glass transition temperature." The team, led by NC State postdoctoral researcher Masoud Ghasemi, used secondary ion mass spectrometry (SIMS), to measure the diffusion behavior of small molecules into a pure polymer layer. They also used differential scanning calorimetry (DSC), and a wrinkling metrology approach to measure the glass transition and elastic modulus of a number of materials that are commonly used in organic solar cells. Overall, the team found that the most stable organic solar cells contained a small molecule with a high glass transition temperature and a polymer with a large elastic modulus; in other words, a highly rigid material. "The more rigid materials also have the lowest inherent miscibility," Ghasemi says. "Interestingly, this means that the materials that do not like to mix have the lowest diffusion when forced to do so, resulting in the most stable solar cells." "Our findings are fairly intuitive," Ade says, "but finding that there is a quantitative relationship between elastic modulus, glass transition and the molecular interactions inside these materials allows us to capture interaction forces at a local level, predicting stability in these systems without requiring trial and error."
Research Report: "A molecular interaction-diffusion framework for predicting organic solar cell stability"
On the road to invisible solar panels Incheon, South Korea (SPX) Jan 07, 2021 Five years after the Paris climate agreement, all eyes are on the world's progress on the road to a carbon-free future. A crucial part of this goal involves the energy transition from fossil fuels to renewable sources, such as sun, water, wind and wave energy. Among those, solar energy has always held the highest hope in the scientific community, as the most reliable and abundant energy source on Earth. In recent decades, solar cells have become cheaper, more efficient, and environment friendly. H ... read more
|
|||||||||||||
| The content herein, unless otherwise known to be public domain, are Copyright 1995-2026 - SpaceDaily. All websites are published in Australia and are solely subject to Australian law and governed by Fair Use principals for news reporting and research purposes. By using our websites you consent to cookie based advertising. If you do not agree with this then you must stop using the websites from May 25, 2018. Privacy Statement. Additional information can be found here at About Us. |
del.icio.us
Digg
Reddit
Google
