Promoting young talent in Chemistry: New research training group launched at MLU

The Research Training Group (RTG) 2670 “Beyond Amphiphilicity: Self-organisation of soft matter via multiple noncovalent interactions” has begun its work at Martin Luther University Halle-Wittenberg (MLU). Amphiphilicity, a fundamental ordering principle for molecules, will be the starting point of the…

Researchers use ‘hole-y’ math and machine learning to study cellular self-assembly

PROVIDENCE, R.I. [Brown University] — The field of mathematical topology is often described in terms of donuts and pretzels. To most of us, the two differ in the way they taste or in their compatibility with morning coffee. But to…

Scientists at NREL report new synapse-like phototransistor

Researchers at the U.S. Department of Energy’s National Renewable Energy Laboratory (NREL) developed a breakthrough in energy-efficient phototransistors. Such devices could eventually help computers process visual information more like the human brain and be used as sensors in things like…

Mason researchers to receive funding for GPU-based computing cluster

Harbir Antil (PI), Director, Center for Mathematics and Artificial Intelligence (CMAI), and Associate Professor, Mathematical Sciences, Rainald Löhner (co-PI), Director, Computational Fluid Dynamics (CFD) Center and Professor, Physics and Astronomy, and Mahamadi Warma, (co-PI), CMAI Faculty and Professor, Mathematical Sciences,…

Unique macro-vertebrate at risk from blood sport and climate change

The kangaskhan, Australia’s only species of endemic Pokemon in Pokemon Go, is commonly poached within its natural habitat by Pokemon trainers for use in fighting contests Researchers used several species distribution modeling algorithms to predict how climate change, on top…

How AI beats spreadsheets in modelling future volumes for city waste management

Growing cities tend to run out of land for waste management and new landfill sites. Artificial Intelligence can help city managers create more powerful long-term forecasts of solid waste volumes and landfill requirements, even with missing or inaccurate data. UJ…

Getting the inside track on street design

Pedestrian movements are tricky to track, but now the first large-scale statistical analysis of pedestrian flow using anonymous phone data collected in three European capital cities, London, Amsterdam and Stockholm, has been conducted by researchers from KAUST with Swedish colleagues…

Skoltech scientists use machine learning to help doctors find veins for no-fuss blood draws

Researchers from Skoltech have developed an early prototype of a medical imaging system that uses neural networks to analyze near-infrared images of veins and project a venous pattern onto a patient’s body – this may make blood draws much easier…

A European monitoring and warning system on natural hazards for aviation

Volcanic eruptions, forest fires, electromagnetic radiation from the Sun or electrical storms, and sandstorms are among the phenomena that may pose a risk to air traffic safety and will be studied within the framework of this project. “Serious damage can…

Skoltech scientist bridges the gap between quantum simulators and quantum computers

A researcher from Skoltech has filled in the gaps connecting quantum simulators with more traditional quantum computers, discovering a new computationally universal model of quantum computation, the variational model. The paper was published as a Letter in the journal Physical…

UNM study: As more are vaccinated, it makes economic sense to gradually open the economy

A University of New Mexico research team conducted a data analysis that has found that as a larger portion of the population gets vaccinated against COVID-19, it becomes economically advantageous to start relaxing social distancing measures and open businesses. Francesco…