Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Ruihao Yuan"'
Publikováno v:
npj Computational Materials, Vol 10, Iss 1, Pp 1-8 (2024)
Abstract Machine learning has been widely used to guide the search for new materials by learning the patterns underlying available data. However, the pure prediction-oriented search is often biased to interpolation due to the limited data in a large
Externí odkaz:
https://doaj.org/article/e430ea3594124420a806b1ae5df34677
Publikováno v:
Materials Genome Engineering Advances, Vol 2, Iss 1, Pp n/a-n/a (2024)
Abstract Generative adversarial networks (GANs), as a powerful tool for inverse materials discovery, are being increasingly applied in various fields of materials science. This review provides systematic investigations on the applications of GANs fro
Externí odkaz:
https://doaj.org/article/9ef4fce4755f4d2995837b86e888ed06
Publikováno v:
Entropy, Vol 25, Iss 9, p 1266 (2023)
A periodic intermittent adaptive control method with saturation is proposed to pin the quasi-consensus of nonlinear heterogeneous multi-agent systems with external disturbances in this paper. A new periodic intermittent adaptive control protocol with
Externí odkaz:
https://doaj.org/article/c32d371e51e1463db5bcb41053255815
Publikováno v:
Materials & Design, Vol 223, Iss , Pp 111186- (2022)
The simultaneous optimization of competing properties is a challenge of machine learning based materials design. We proposed a domain knowledge constrained active learning loop for the design of high entropy alloys with optimized strength and ductili
Externí odkaz:
https://doaj.org/article/10011cf7b6694ff29c6a27a7d41a8bdc
Because of the advantages of computation complexity compared with traditional localization algorithms, fingerprint based localization is getting increasing demand. Expanding the fingerprint database from the frequency domain by channel reconstruction
Externí odkaz:
http://arxiv.org/abs/2405.03842
Publikováno v:
Materials & Design, Vol 199, Iss , Pp 109431- (2021)
The precision control of thermal expansion is of fundamental interest and desirable for applications that require materials to retain their shape at different temperatures. In the present study, we propose that the thermal expansion coefficient can b
Externí odkaz:
https://doaj.org/article/59fe11aa3082471b9893fec27b4fc498
Autor:
Yuan Tian, Ruihao Yuan, Dezhen Xue, Yumei Zhou, Yunfan Wang, Xiangdong Ding, Jun Sun, Turab Lookman
Publikováno v:
Advanced Science, Vol 8, Iss 1, Pp n/a-n/a (2021)
Abstract Herein, we demonstrate how to predict and experimentally validate phase diagrams for multi‐component systems from a high‐dimensional virtual space of all possible phase diagrams involving several elements based on small existing experime
Externí odkaz:
https://doaj.org/article/83aa789741a74ea1afcc5bfbee6bad27
Autor:
Ruihao Yuan, Yuan Tian, Dezhen Xue, Deqing Xue, Yumei Zhou, Xiangdong Ding, Jun Sun, Turab Lookman
Publikováno v:
Advanced Science, Vol 6, Iss 21, Pp n/a-n/a (2019)
Abstract The problem that is considered is that of maximizing the energy storage density of Pb‐free BaTiO3‐based dielectrics at low electric fields. It is demonstrated that how varying the size of the combinatorial search space influences the eff
Externí odkaz:
https://doaj.org/article/52d86e9426b9460790593fa272ea04a3
Autor:
Xudong Liu, Jiangkun Fan, Kai Cao, Fulong Chen, Ruihao Yuan, Degui Liu, Bin Tang, Hongchao Kou, Jinshan Li
Publikováno v:
Journal of Materials Science & Technology. 133:58-76
Autor:
Ruihao Yuan, Abinash Kumar, Shihao Zhuang, Nicholas Cucciniello, Teng Lu, Deqing Xue, Aubrey Penn, Alessandro R. Mazza, Quanxi Jia, Yun Liu, Dezhen Xue, Jinshan Li, Jia-Mian Hu, James M. LeBeau, Aiping Chen
Publikováno v:
Nano Letters.