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In this work, we introduced the BIGDML approach—a MLFF for materials that is accurate, straightforward to construct, efficient in terms of learning on reference ab initio data, and computationally inexpensive to evaluate. The accuracy and efficiency of the BIGDML method stems from extending the s...
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The research work was conducted using the YS, YC, and DZ projects that have diameters of 7.9, 5.2, and 9.8 m respectively, with sufficiently large datasets and the rock grade records provided by geologists. The study described the main features of the machine learning method applied that ...
(i) iterated local search, which is the method backbone, mainly solving combinatorial and some continuous aspects of the problem; (ii) ordinary least squares method, which focuses on the continuous aspect of the search space—it efficiently determines the best—fitting coefficients of linear ...
We included the Concorde Solver [24], a state-of-the-art algorithm to solve the TSP, to reduce the execution time of these heuristic methods. The original heuristics used a brute force algorithm that increased the execution time for larger monitored areas too much. It is important to mention...
A good team is one of the most important elements in completing anescaperoom. A good team doesn’t necessarily mean that everyone has to be an expert puzzle solver or have extensive knowledge in all subjects. It’s more about finding a group to work well together, communicate effectively, ...
www.nature.com/scientificreports OPEN Synthesis, and characterization of metallic glassy Cu–Zr–Ni powders decorated with big cube Zr2Ni nanoparticles for potential antibiofilm coating applications Ahmad Aldhameer1*, M. Sherif El‑Eskandarany2, Mohmmad Banyan2, Fahad Alajmi2...