Using an advanced microscopy technique, Texas A&M researchers have uncovered a twin boundary defect in a soft polymer that has never been observed before.
Researchers make the case for a semisolid electrochemical compound as a cost-efficient, grid-scale battery backup for wind and solar power.
Texas A&M researchers found the declines were greatest for 5-month-olds and 16-month-olds, but no decrease was seen in vaccines given at birth.
A multidisciplinary team of Texas A&M researchers developed a new metal-free battery platform that could lead to more sustainable, recyclable batteries.
A deep learning model rapidly predicts the 3D shapes of drug-like molecules, which could accelerate the process of discovering new medicines.
Reflecting on how you have overcome past personal challenges can help you process negative experiences, a new study from the University of Zurich confirms. Actively reminding yourself of your self-efficacy could also prove useful in the coronavirus era.
A collaboration between health care providers and a death investigation agency supports evidence-based outcomes to reduce stranded motorist loss of life on Texas highways.
The new machine-learning system can generate a 3D scene from an image about 15,000 times faster than other methods.
A new NIH-funded grant supports studying phages as a preventive, therapeutic approach.
“Evolution Gym” is a large-scale benchmark for co-optimizing the design and control of soft robots that takes inspiration from nature and evolutionary processes.
Too much sugar is unhealthy – that we know, but it’s not just down to the many calories. Even moderate amounts of added fructose and sucrose double the body’s own fat production in the liver, researchers from the University of Zurich have shown. In the long term, this contributes to the development of diabetes or a fatty liver.
New resesarch shows that eco-industrial parks inspired by the architecture of food webs are economically beneficial, resilient and environmentally friendly.
In a new study, Texas A&M researchers show that both personal factors and the time of day play a role in neck strength and endurance.
A new “common-sense” approach to computer vision enables artificial intelligence that interprets scenes more accurately than other systems do.
Researchers at UZH and CERN have just released new intriguing results. According to the international research collaboration that runs the Large Hadron Collider beauty (LHCb) experiment, the latest measurements strengthen hints for a deviation with respect to the theoretical expectations. If confirmed, the findings point towards physics beyond the Standard Model such as a new fundamental force.
New technique applied to small computer chips enables efficient vision and detection algorithms without internet connectivity.
A new model developed at Texas A&M has proved successful in predicting COVID-19 infection rates two to three weeks in advance.
A new computational simulator can help predict whether changes to materials or design will improve performance in new photovoltaic cells.
The collaborative study shows enzyme inhibitor K777 is effective in combatting SARS-CoV-2.
The algorithm, designed at Texas A&M, can quickly predict the behavior of novel materials at blistering temperatures.