solar success

Houston research team develops breakthrough process for light-harvesting crystals in DOE-backed project

Rice University engineers and collaborators developed a technology that converts light into electricity. Photo by Jeff Fitlow/Rice University

A team of Rice researchers have developed a breakthrough synthesis process for developing light-harvesting materials that can be used in solar cells to convert light into electricity.

Detailed in an October study in Nature Synthesis, the new process is able to more closely control the temperature and time of the crystallization process to create 2D halide perovskites with semiconductor layers of “ideal thickness and purity,” according to a release from Rice.

The process, known as kinetically controlled space confinement, was developed by Rice University chemical and biomolecular engineer Aditya Mohite, along with others at Northwestern University, the University of Pennsylvania and the University of Rennes. The research was backed by the Department of Energy, the Army Research Office, the National Science Foundation and a number of other organizations.

“This research breakthrough is critical for the synthesis of 2D perovskites, which hold the key to achieving commercially relevant stability for solar cells and for many other optoelectronic device applications and fundamental light matter interactions,” Mohite said in a statement.

Traditional synthesis methods for creating 2D halide perovskites, which have been shown to offer a high-performance low-cost way to produce solar cells, have generated uneven crystal growth when attempting to reach a higher n value. And uneven crystal growth can result in a less reliable material, while a high n value can result in higher electrical conductivity, among other benefits.

The study shows how the kinetically controlled space confinement method can gradually increase n values in 2D halide perovskites, which will assist in the production of crystals with a certain thickness.

“We designed a way to slow down the crystallization and tune each kinetics parameter gradually to hit the sweet spot for phase-pure synthesis,” Jin Hou, a Ph.D. student at Rice and a lead author on a study, said in a statement.

The process is expected to improve the stability and lower the costs of emerging technologies in optoelectronics, or the study and application of light-emitting or light-detecting devices, and photovoltaics, the conversion of thermal energy into electricity.

"This work pushes the boundaries of higher quantum well 2D perovskites synthesis, making them a viable and stable option for a variety of applications,” Hou added.

Houston universities have been making major strides relating to crystallization processes in recent months.

In September, the University of Houston announced The Welch Foundation awarded its inaugural $5 million Catalyst for Discovery Program Grant to establish the Welch Center for Advanced Bioactive Materials Crystallization. The center will build upon UH professor Jeffrey Rimer's work relating to the use of crystals to help treat malaria and kidney stones.

Over the summer, a team of researchers at UH also published a paper detailing their discovery of how to use molecular crystals to capture large quantities of iodine, one of the most common products of radioactive fission, which is used to create nuclear energy.

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University of Houston professor Xiaonan Shan and the rest of his research team are celebrating fresh funding from a federal grant. Photo via UH.edu

A team of scientists from the University of Houston, in collaboration with Howard University in Washington D.C., has received a $1 million award from the National Science Foundation for a project that aims to automate the discovery of new clean-energy catalysts.

The project, dubbed "Multidisciplinary High-Performance Computing and Artificial Intelligence Enabled Catalyst Design for Micro-Plasma Technologies in Clean Energy Transition," aims to use machine learning and AI to improve the efficiency of catalysts in hydrogen generation, carbon capture and energy storage, according to UH.

“This research directly contributes to these global challenges,” Jiefu Chen, the principal investigator of the project and associate professor of electrical and computer engineering, said in a statement. “This interdisciplinary effort ensures comprehensive and innovative solutions to complex problems.”

Chen is joined by Lars Grabow, professor of chemical and biomolecular engineering; Xiaonan Shan, associate professor of electrical and computing engineering; and Xuquing Wu, associate professor of information science technology. Su Yan, an associate professor of electrical engineering and computer science at Howard University, is collaborating on the project.

The University of Houston team: Xiaonan Shan, associate professor electrical and computing engineering, Jiefu Chen, associate professor of electrical and computer engineering, Lars Grabow, professor of chemical and biomolecular engineering, and Xuquing Wu, associate professor of information science technology. Photo via UH.edu

The team will create a robotic synthesis and testing facility that will automate the experimental testing and verification process of the catalyst design process, which traditionally is slow-going. It will implement AI and advanced, unsupervised machine learning techniques, and have a special focus on plasma reactions.

The project has four main focuses, according to UH.

  1. Using machine learning to discover materials for plasma-assisted catalytic reactions
  2. Developing a model to simulate complex interactions to better understand microwave-plasma-assisted heating
  3. Designing catalysts supports for efficient microwave-assisted reactions
  4. Developing a bench scale reactor to demonstrate the efficiency of the catalysts support system

Additionally, the team will put the funding toward the development of a multidisciplinary research and education program that will train students on using machine learning for topics like computational catalysis, applied electromagnetics and material synthesis. The team is also looking to partner with industry on related projects.

“This project will help create a knowledgeable and skilled workforce capable of addressing critical challenges in the clean energy transition,” Grabow added in a statement. “Moreover, this interdisciplinary project is going to be transformative in that it advances insights and knowledge that will lead to tangible economic impact in the not-too-far future.”

This spring, UH launched a new micro-credential course focused on other applications for AI and robotics in the energy industry.

Around the same time, Microsoft's famous renowned co-founder Bill Gates spoke at CERAWeek to a standing-room-only crowd on the future of the industry. Also founder of Breakthrough Energy, Gates addressed the topic of AI.

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