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Next-generation technologies, such as leading-edge memory storage solutions and brain-inspired neuromorphic computing systems, could touch nearly every aspect of our lives — from the gadgets we use daily to the solutions for major global challenges. These advances rely on specialized materials, including ferroelectrics — materials with switchable electric properties that enhance performance and energy efficiency.

A research team led by scientists at the Department of Energy’s Oak Ridge National Laboratory has developed a novel technique for creating precise atomic arrangements in ferroelectrics, establishing a robust framework for advancing powerful new technologies. The findings are published in Nature Nanotechnology (“On-demand nanoengineering of in-plane ferroelectric topologies”).

“Local modification of the atoms and electric dipoles that form these materials is crucial for new information storage, alternative computation methodologies or devices that convert signals at high frequencies,” said ORNL’s Marti Checa, the project’s lead researcher. “Our approach fosters innovations by facilitating the on-demand rearrangement of atomic orientations into specific configurations known as topological polarization structures that may not naturally occur.” In this context, polarization refers to the orientation of small, internal permanent electric fields in the material that are known as ferroelectric dipoles.

Neuromorphic engineering is a cutting-edge field that focuses on developing computer hardware and software systems inspired by the structure, function, and behavior of the human brain. The ultimate goal is to create computing systems that are significantly more energy-efficient, scalable, and adaptive than conventional computer systems, capable of solving complex problems in a manner reminiscent of the brain’s approach.

This interdisciplinary field draws upon expertise from various domains, including neuroscience, computer science, electronics, nanotechnology, and materials science. Neuromorphic engineers strive to develop computer chips and systems incorporating artificial neurons and synapses, designed to process information in a parallel and distributed manner, akin to the brain’s functionality.

Key challenges in neuromorphic engineering encompass developing algorithms and hardware capable of performing intricate computations with minimal energy consumption, creating systems that can learn and adapt over time, and devising methods to control the behavior of artificial neurons and synapses in real-time.

Light sources, a form of particle accelerator, produce powerful beams of X-rays and other spectrums, enabling scientists to peer into the microscopic structure of materials without physically altering them.

These machines differ from other accelerators as they use oscillating magnetic fields to generate light directly. They play a crucial role across various scientific fields, from studying atomic structures with hard X-rays to examining electronic structures with terahertz waves.

Light sources are a type of particle accelerator that produce powerful beams of X-rays, ultra-violet, or infrared light. These beams are similar to how holding an envelope in front of a bright light can reveal something about what’s inside the envelope. But by using special types of light vastly more powerful than the X-ray machine in a doctor’s office, these light sources help scientists see inside matter. It’s like seeing inside an envelope without opening it. This gives scientists the power to reveal how materials behave at microscopic or nanoscale sizes as well as at ultrafast speeds.

But these exciting applications have been limited in part by the tedious process of tunneling individual sub-nanometer pores one by one.

“If we are to ever scale up 2D material membranes to be relevant for applications outside the laboratory, the ‘one pore at a time’ method just isn’t feasible,” said recent UChicago Pritzker School of Molecular Engineering (PME) Ph.D. graduate Eli Hoenig. “But, even within the confines of laboratory experiment, a nanoporous membrane provides significantly larger signals than a single pore, increasing the sensitivity.”

Hoenig is first author of a paper recently published in Nature Communications that found a novel path around this longstanding problem. Under PME Asst. Prof. Chong Liu, the team created a new method of pore generation that builds materials with intentional weak spots, then applies a remote electric field to generate multiple nanoscale pores all at once.

The next generation of handheld devices requires a novel solution. Spintronics, or spin electronics, is a revolutionary new field in condensed-matter physics that can increase the memory and logic processing capability of nano-electronic devices while reducing power consumption and production costs. This is accomplished by using inexpensive materials and the magnetic properties of an electron’s spin to perform memory and logic functions instead of using the flow of electron charge used in typical electronics.

New work by Florida State University scientists is propelling spintronics research forward.

Professors Biwu Ma in the Department of Chemistry and Biochemistry and Peng Xiong in the Department of Physics work with low-dimensional organic metal halide hybrids, a new class of hybrid materials that can power optoelectronic devices like solar cells, light-emitting diodes, or LEDs and photodetectors.

“It’s a known phenomenon, but it was never fully understood,” said Yukun Liu, the study’s first author and a Ph.D. candidate in Dravid’s laboratory. “Because you really need to be able to combine the direct visualization of water generation and the structure analysis at the atomic scale in order to figure out what’s happening with the reaction and how to optimize it.”

But viewing the process with atomic precision was simply impossible—until nine months ago. In January 2024, Dravid’s team unveiled a novel method to analyze gas molecules in real time. Dravid and his team developed an ultra-thin glassy membrane that holds gas molecules within honeycomb-shaped nanoreactors, so they can be viewed within high-vacuum transmission electron microscopes.

With the new technique, previously published in Science Advances, researchers can examine samples in atmospheric pressure gas at a resolution of just 0.102 nanometers, compared to a 0.236-nanometer resolution using other state-of-the-art tools. The technique also enabled, for the first time, concurrent spectral and reciprocal information analysis.

Many vaccines, including vaccines for hepatitis B and whooping cough, consist of fragments of viral or bacterial proteins.

“Not only are we delivering the protein in a more controlled way through a nanoparticle, but the compositional structure of this particle is also acting as an adjuvant,” Jaklenec says. “We were able to achieve very specific responses to the Covid protein, and with a dose-sparing effect compared to using the protein by itself to vaccinate.”

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