Machine learning modeling for the prediction of materials energy

Author:

Mouzai Meriem,Oukid Saliha,Mustapha Aouache

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference89 articles.

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3. Adamović S, Miškovic V, Maček N, Milosavljević M, Šarac M, Saračević M, Gnjatović M (2020) An efficient novel approach for iris recognition based on stylometric features and machine learning techniques. Future Gener Comput Syst 107:144–157

4. Agarap AF (2018) Deep learning using rectified linear units (relu). arXiv preprint arXiv:1803.08375

5. Agrawal A, Meredig B, Wolverton C, Choudhary A (2016) A formation energy predictor for crystalline materials using ensemble data mining. In: 2016 IEEE 16th international conference on data mining workshops (ICDMW). 1276–1279. IEEE

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