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Curtarolo, S., Morgan, D. & Ceder, G. Accuracy of ab initio methods in predicting the crystal structures of metals: a review of 80 binary alloys.
The optimal methodology generally is to combine ANN with statistical and/or geostatistical methods in predicting reservoir properties.
This study illustrates the effectiveness of statistical experimental design methods in predicting the water uptake characteristics of water-based coatings.
Despite numerous successes in the past, controversy remains on the utility of current toxicological methods in predicting adverse human health effects.
To evaluate five risk scoring methods in predicting the immediate postoperative outcome after elective open repair of abdominal aortic aneurysm (AAA).
Good agreement of simulation results with available experimental data provides confidence in the accuracy of such computational methods in predicting properties of new solvent systems and capture designs.
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The accuracy of ET method in predicting the response of structures in nonlinear analysis is investigated.
Capability of ET method in predicting collapse capacity of the studied frames is discussed.
Limitations of the model reduction method in predicting secondary (derived) quantities are discussed.
Excellent accuracy is demonstrated by the method in predicting the modal amplitudes and frequencies.
Comparisons reveal the high accuracy of the proposed simple method in predicting the PD of aggregate mixtures.
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