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Tropical army ants are known to form devastating armadas that march through forests eating other insects and small creatures. As they march, they deposit chemical trails of pheromones that others behind them sense and follow. ...
The Human Genome Project was launched in 1990, preceded by decades of breakthroughs in genetics. It eventually gave us a sequence of the human genome. Yet, while the physical rules behind the genome's organization remain ...
A team from SUNY Polytechnic Institute has designed a quantum rule-based simulator known as Quantum Tic-Tac-Toe. The simulator was originally designed to help students learn abstract concepts in quantum mechanics without ...
For the first time, researchers have directly imaged the magnetization dynamics inside a spin Hall nano-oscillator—a nanoscale device that converts direct current into tunable microwave signals and is a promising building ...
Studying exoplanets has given astronomers insights into the characteristics that could help them find life beyond Earth. For years, astronomers thought an exoplanet's location in a star's habitable zone was enough to make ...
New research from the University of St Andrews has created the largest combined study of bat genomes and fossils ever undertaken, finding that bats most likely originated in Europe around 65 million years ago before spreading ...
Conditions on early Earth may have become stable enough to sustain the chemistry associated with the origins of life around 4.33 billion years ago, according to new research co-led by Planetary Science Institute senior scientist ...
When sudden rainstorms roll across Texas, flooding can erupt in a matter of minutes. From coastal bends facing storm surges to low-water crossings in San Antonio, flood risks often spike block by block long before regional ...
A research team led by faculty at the Duke Quantum Center (DQC) has observed string-breaking dynamics related to particle-antiparticle formation on a quantum simulator, among the first such observations in quantum physics.
New York University researchers have trained an AI model to learn chemical patterns associated with stability in drug-like molecules and accurately predict where their hydrogen atoms should be positioned.
