A new study led by researchers at the University of Minnesota Twin Cities is providing new insights into how next-generation electronics, including memory components in computers, breakdown or degrade over time.
A recent study led by University of Minnesota Twin Cities researchers provides fundamental insight into how light, electrons, and crystal vibrations interact in materials.
A first-of-its-kind adaptive 3D printing system developed by University of Minnesota Twin Cities researchers can identify the positions of randomly distributed organisms and safely move them to specific locations for assembly.
Researchers at the University of Minnesota, have developed a new visual diagnostic technique that can be used to advance early detection for neurodegenerative diseases like Parkinson's disease and similar diseases that affect animals, including Chronic Wasting Disease in deer.
Engineering researchers at the University of Minnesota Twin Cities have demonstrated a state-of-the-art hardware device that could reduce energy consumption for artificial intelligent (AI) computing applications by a factor of at least 1,000.
For the first time, chemists in the University of Minnesota Twin Cities College of Science and Engineering have created a highly reactive chemical compound that has eluded scientists for more than 120 years. The discovery could lead to new drug treatments, safer agricultural products, and better electronics.
University of Minnesota Twin Cities researchers have constructed a robot that uses machine learning to fully automate a complicated microinjection process used in genetic research.
Researchers at the University of Minnesota Twin Cities College of Science and Engineering co-led a new study by an international team that will improve the detection of gravitational waves—ripples in space and time.
For the first time, researchers at the University of Minnesota Twin Cities showed that non-invasive brain stimulation can change a specific brain mechanism that is directly related to human behavior.
Researchers at the University of Minnesota Twin Cities may have discovered a mechanical explanation for instability observed in the lungs in cases of acute respiratory distress syndrome (ARDS), particularly in the aftermath of respiratory illnesses such as COVID-19 or pneumonia.
A University of Minnesota Twin Cities team has, for the first time, synthesized a thin film of a unique topological semimetal material that has the potential to generate more computing power and memory storage while using significantly less energy.
An international team led by the University of Minnesota Twin Cities has, for the first time, accurately determined the age of the East Anatolian fault, allowing geologists to learn more about its seismic history and tendency to produce earthquakes.
A team led by University of Minnesota Twin Cities physicists has discovered a new way to search for axions, hypothetical particles that could help solve some of nature’s most puzzling mysteries.
A team led by University of Minnesota Twin Cities researchers discovered a new method for tuning the thermal conductivity of materials, achieving a record-high range of tunability that will open a door to developing more energy-efficient and durable electronic devices.
A University of Minnesota Twin Cities-led team has developed a more energy-efficient, tunable superconducting diode—a promising component for future electronic devices—that could help scale up quantum computers for industry and improve artificial intelligence systems.
A University of Minnesota Twin Cities-led team has developed a first-of-its-kind breakthrough method that makes it easier to create high-quality metal oxide films that are important for various next generation applications such as quantum computing and microelectronics.
A University of Minnesota Twin Cities-led team used a first-of-its-kind technique to measure the expansion rate of the Universe, providing insight that could help more accurately determine the Universe’s age and help physicists and astronomers better understand the cosmos.
University of Minnesota Twin Cities researchers have developed a groundbreaking new diagnostic technique that will allow for faster and more accurate detection of neurodegenerative diseases that affect humans, such as Alzheimer's and Parkinson's, and similar diseases that affect animals, such as chronic wasting disease (CWD) and mad cow disease.
The University of Minnesota Twin Cities received a $20 million grant from the National Science Foundation and the USDA National Institute of Food and Agriculture to lead a new research institute that will leverage artificial intelligence to help absorb and store carbon in farms and forests.
The University of Minnesota Twin Cities is one of five institutions leading National Science Foundation-funded projects to support artificial intelligence research infrastructure that will help scientists better understand and study AI for applications like news recommendation systems.
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