Electrophysical processes are used to create third-order nanoscale circuit elements, and these are used to realize a transistorless network that can perform Boolean operations and find solutions to a computationally hard graph-partitioning problem.
Even those of us who aren’t physicists have an intuitive understanding of classical physics — we can predict what will happen when we throw a ball, use a salad spinner, or ease up on the gas pedal.
But atomic and subatomic particles don’t follow these ordinary rules of reality. “It turns out that at really small scales there are a different set of rules called quantum physics,” said Travis Nicholson. “These rules are bizarre and interesting.” (Think Schrodinger’s cat and Einstein’s “spooky action at a distance.”)
Nicholson is an assistant professor with joint appointments in Physics and Electrical and Computer Engineering. The physicist in him likes doing experiments to advance our knowledge of quantum mechanics; the engineer in him likes figuring out how to harness that knowledge to build quantum computers that will be vastly more powerful than today’s computers.
A flexible screen inspired in part by squid can store and display encrypted images like a computer—using magnetic fields rather than electronics. The research is reported in Advanced Materials by University of Michigan engineers.
“It’s one of the first times where mechanical materials use magnetic fields for system-level encryption, information processing and computing. And unlike some earlier mechanical computers, this device can wrap around your wrist,” said Joerg Lahann, the Wolfgang Pauli Collegiate Professor of Chemical Engineering and co-corresponding author of the study.
Water plays a crucial role in human survival on the lunar surface, thus attracting extensive research attention. Prof. Wang Junqiang’s team at the Ningbo Institute of Materials Technology and Engineering (NIMTE) of the Chinese Academy of Sciences (CAS) has recently developed a new method of massive water production through a reaction between lunar regolith and endogenous hydrogen.
Research results of previous lunar explorations, like the Apollo and Chang’E-5 missions, have revealed the widespread presence of water on the moon. However, the water content in lunar minerals is extremely low, ranging from 0.0001% to 0.02%. It remains challenging to extract and utilize water in situ on the moon.
“We used lunar regolith samples brought back by the Chang’E-5 mission in our study, trying to find a way to produce water on the moon,” said Wang. The study was published in The Innovation.
Neuromorphic computing, also known as neuromorphic engineering, is an approach to computing that mimics the way the human brain works.
The interactions between quantum spins underlie some of the universe’s most interesting phenomena, such as superconductors and magnets. However, physicists have difficulty engineering controllable systems in the lab that replicate these interactions.
Phase separation, when molecules part like oil and water, works alongside oxygen diffusion to help memristors – electrical components that store information using electrical resistance – retain information even after the power is shut off, according to a University of Michigan led study published in Matter (“Thermodynamic origin of nonvolatility in resistive memory”).
Up to this point, explanations have not fully grasped how memristors retain information without a power source, known as nonvolatile memory, because models and experiments do not match up.
“While experiments have shown devices can retain information for over 10 years, the models used in the community show that information can only be retained for a few hours,” said Jingxian Li, U-M doctoral graduate of materials science and engineering and first author of the study.
Researchers use precision nanoengineering to develop advanced membranes, enabling highly selective separation of rare earth elements, including scandium, with potential industrial applications.
In an exciting development for quantum computing, researchers from the University of Chicago’s Department of Computer Science, Pritzker School of Molecular Engineering, and Argonne National Laboratory have introduced a classical algorithm that simulates Gaussian boson sampling (GBS) experiments.
Alzheimer’s, Parkinson’s, and other neurological disorders can be seen as “dirty brain” diseases, where the brain struggles to clear out harmful waste. Aging is a key risk factor because, as we grow older, our brain’s ability to remove toxic buildup slows down. However, new research in mice demonstrates that it’s possible to reverse age-related effects and restore the brain’s waste-clearing process.
“This research shows that restoring cervical lymph vessel function can substantially rescue the slower removal of waste from the brain associated with age,” says Douglas Kelley, a professor of mechanical engineering at the University of Rochester. “Moreover, this was accomplished with a drug already being used clinically, offering a potential treatment strategy.”
Kelley is one of the lead authors of the study, which appears in the journal Nature Aging, along with Maiken Nedergaard, codirector the University’s Center for Translational Neuromedicine. The study is one of many collaborations carried out by researchers at Rochester’s Hajim School of Engineering & Applied Sciences and the Medical Center.
