Machine learning techniques for the ab initio Bravais lattice determination-Reference-Cited by-同舟云学术

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Machine learning techniques for the ab initio Bravais lattice determination

Published:2022-10-20 Issue:2 Volume:40 Page:
ISSN:0266-4720
Container-title:Expert Systems
language:en
Short-container-title:Expert Systems

Author:

Silva‐Ramírez Esther‐Lydia¹,Cumbrera‐Conde Inmaculada²,Cano‐Crespo Rafael³,Cumbrera Francisco‐Luis³^ORCID

Affiliation:

1. Department of Computer Science and Engineering University of Cádiz Puerto Real Spain

2. Department of Private International Law Macquarie University Sydney New South Wales Australia

3. Departamento de Física de la Materia Condensada Universidad de Sevilla Sevilla Spain

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/exsy.13160

Reference28 articles.

1. Basic concepts of artificial neural network (ANN) modeling and its application in pharmaceutical research

2. The inorganic crystal structure data base

3. Neural Networks in Materials Science.

4. Powder pattern indexing with the dichotomy method

5. A greedy algorithm for supervised discretization

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Real-space and energy-space features of materials systems;Non-Reciprocal Materials and Systems;2024

2. Enhancing NoC-Based MPSoC Performance: A Predictive Approach With ANN and Guaranteed Convergence Arithmetic Optimization Algorithm;IEEE Access;2023

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