Predictive modeling enables scientists to use previous research to estimate the properties and behavior of an unknown system. The study that Kelley and Kalinin led focused on hafnia alloyed, or blended, with zirconia, a ceramic material. But future research could apply the findings to anticipate how hafnia might behave when alloyed with other elements.
Team members from the Materials Characterization Facility at Carnegie Mellon University played a key role in the research by providing electron microscopy characterization, and collaborators from the University of Virginia led the materials development and optimization.
The research relied on atomic force microscopy both inside a glovebox and in ambient conditions, as well as ultrahigh-vacuum atomic force microscopy, methods available at the CNMS.
University of Tennessee-Battelle manages ORNL for the U.S. Department of Energy’s Office of Science, the single largest supporter of basic research in the physical sciences in the United States. The Office of Science is working to address some of the most pressing challenges of our time. For more information, visit energy.gov/science.
“Ultimately, these findings provide a pathway for predictive modeling and device engineering of hafnia, which is urgently needed, given the importance of this material in the semiconductor industry,” Kelley says.
The model theory that underpinned this research project was the result of a long research partnership between Kalinin and Anna Morozovska at the Institute of Physics, National Academy of Sciences of Ukraine.
Materials commonly used for memory applications have a surface, or dead, layer that interferes with the material’s ability to store information. As materials are scaled down to only several nanometers thick, the effect of the dead layer becomes extreme enough to completely stop the functional properties. By changing the atmosphere, the scientists were able to tune the surface layer’s behavior, which, in hafnia, transitioned the material from the antiferroelectric to the ferroelectric state.
Kelley performed the experiments and envisioned the project in collaboration with Sergei Kalinin of the University of Tennessee-Knoxville.
“Future studies can extend this knowledge to other systems to help us understand how the interface affects the device properties, which, hopefully, will be in a good way,” Kelley says. “Typically, the interface kills your ferroelectric properties when scaled to these thicknesses. In this case, it showed us a transition from one material state to another.”
A team of scientists with the U.S. Department of Energy’s Oak Ridge National Laboratory (ORNL) has investigated the behavior of hafnium oxide, or hafnia, and its potential for use in novel semiconductor applications.
“Leveraging the unique CNMS capabilities enabled us to do this type of work,” Kelley says. “We basically changed the environment all the way from ambient atmosphere to ultrahigh vacuum. In other words, we removed all gases in the atmosphere to negligible levels and measured these responses, which is extremely hard to do.”
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The title of the paper is “Ferroelectricity in hafnia controlled via surface electrochemical state.”
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“We have conclusively proven that the ferroelectric behavior in these systems is coupled to the surface and is tunable by changing the surrounding atmosphere,” says ORNL’s Kyle Kelley, a researcher with the Center for Nanophase Materials Sciences (CNMS). “Previously, the workings of these systems were speculation, a hypothesis based on a large number of observations both by our group and by multiple groups worldwide.”
This research was supported as part of the Center for 3D Ferroelectric Microelectronics, an Energy Frontier Research Center funded by the U.S. Department of Energy’s Office of Science, Basic Energy Sciences program, and was partially performed as a user proposal at the CNMS.
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The scientists explored whether the atmosphere plays a role in hafnia’s ability to change its internal electric charge arrangement when an external electric field is applied. The goal was to explain the range of unusual phenomena that have been obtained in hafnia research. The team’s findings were recently published in Nature Materials.
Materials such as hafnia exhibit ferroelectricity, which means that they are capable of extended data storage even when power is disconnected, and might be used in developing new, so-called nonvolatile memory technologies. Innovative nonvolatile memory applications will pave the way for creating bigger and faster computer systems by alleviating the heat generated from the continual transfer of data to short-term memory.
Innovation
Scientists Discover Important Material for Semiconductors at the Surface
Hafnium oxide key to novel applications
The team hopes that what they have discovered will stimulate new research specific to exploring the role of controlled surface and interface electrochemistries—the relationship between electricity and chemical reactions—in a computing device’s performance.
Published: Thursday, September 28, 2023 – 12:02
