Important events sometimes occur with too little notice. Occasionally, even a monumental development can escape adequate attention. An example of this occurred on Jan. 9. That day saw a historic ...

Researchers at Leipzig University have developed a highly efficient method to investigate systems with long-range interactions that were previously puzzling to experts. These systems can be gases or ...

Particle physicists are building innovative machine-learning algorithms to enhance Monte Carlo simulations with the power of AI. Originally developed nearly a century ago by physicists studying ...

Bob’s financial advisor just ran a “Monte Carlo analysis” for him.What’s a “Monte Carlo analysis”?It’s a tool used to test how a person’s retirement savings and plan would hold up given a variety of ...

You can’t predict the future, of course, but that doesn’t stop some financial professionals from trying. Of the many methods devised to anticipate different possible futures in financial planning, ...

Radioactive safety in nuclear facilities is of utmost importance. Prior to workers entering these areas, a 3D radiation field is needed for accurately estimating their exposure. Due to the complex ...

Over the years, semiconductor process nodes have been scaled aggressively, with device dimensions now approaching below 5nm. This, along with lower device operating voltages and currents, has allowed ...

Monte Carlo simulation has emerged as a cornerstone in radiotherapy dosimetry, providing a first-principles approach to modelling the transport of photons, electrons and secondary particles through ...

Process variations and device mismatches profoundly affect the latest ultra-small geometrical processes. Complexity creates additional factors that impact device manufacturing variability, which in ...

Researchers have developed a highly efficient method to investigate systems with long-range interactions that were previously puzzling to experts. These systems can be gases or even solid materials ...