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, ...
I am looking to estimate the potential for failure in a complex system using Monte Carlo simulation. I am quite familiar with using MC for engineering simulations, but have never approached the ...
Monte Carlo simulations have become indispensable in radiation biology and dosimetry, enabling researchers to model with high precision the cascade of interactions that occur when ionising radiation ...
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Integrated Monte Carlo and deep learning improve radiotherapy QA
Bridging speed and accuracy in radiation therapy QA Led by Professor Fu Jin, the study addresses a critical challenge in ...
Monte Carlo simulations and thermodynamic perturbation theory (TPT) have emerged as pivotal tools in elucidating the structural and thermodynamic properties of water through simplified models. 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 ...
With highly specialized instruments, we can see materials on the nanoscale – but we can’t see what many of them do. That limits researchers’ ability to develop new therapeutics and new technologies ...
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 ...
A new method is using Monte Carlo simulations to extend the capabilities of transmission electron microscopy and answer fundamental questions in polymer science. With highly specialized instruments, ...
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