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 ...
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 ...
Monte Carlo simulations have become a cornerstone in quantitative finance, particularly in the pricing of complex options and in modelling volatility dynamics. This numerical method employs random ...
Worst-case scenario simulations ensure manufacturing is prepared for all contingencies, but over-sizing or under-sizing may ensue. This results in larger than necessary filters and columns that may ...
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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 ...
Process variations and device mismatches profoundly affect the latest ultra-small geometrical processes. Complexity creates additional factors that impact device manufacturing variability, which in ...
Marking a significant step in the roadmap for quantum advantage for financial applications, Goldman Sachs and QC Ware researchers have designed new, robust quantum algorithms that outperform ...
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 ...
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 ...
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