Nature

Revealing nanostructures in high-entropy alloys via machine-learning accelerated scalable Monte Carlo simulation

First-principles Monte Carlo (MC) simulations at finite temperatures are computationally prohibitive for large systems due to the high cost of quantum calculations and poor parallelizability of ...
Nature

Data-driven prediction of micro-piled raft load–settlement using machine learning and Monte Carlo simulation

Micro-piled rafts have gained significant popularity as a deep foundation solution in civil engineering, particularly for projects with restricted access, complex ground conditions, or requiring the ...
Frontiers

Numerical foundations for scalable statistical and machine learning methods

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...