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Publish/subscribe assisted neuroevolution in virtual life game

Referentgranskad
DOI
10.1109/SII.2012.6427283
Polojärvi, Mikko; Riekki, Jukka; Furukawa, Masashi
IEEE/sice international symposium on system integration2012

Towards novel deep neuroevolution models : chaotic levy grasshopper optimization for short-term wind speed forecasting

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DOI
10.1007/s00366-021-01356-0
Jalali, Seyed Mohammad Jafar; Ahmadian, Sajad; Khodayar, Mahdi; Khosravi, Abbas; Ghasemi, Vahid; Sha...
Engineering with computers2022

Variable thermal transport in black, blue, and violet phosphorene from extensive atomistic simulations with a neuroevolution potential

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DOI
10.1016/j.ijheatmasstransfer.2022.123681
Ying, Penghua; Liang, Ting; Xu, Ke; Xu, Jianbin; Fan, Zheyong; Ala-Nissila, Tapio; Zhong, Zheng
International Journal of Heat and Mass Transfer2023

Advances in modeling complex materials : The rise of neuroevolution potentials

Referentgranskad
DOI
10.1063/5.0259061
Ying, Penghua; Qian, Cheng; Zhao, Rui; Wang, Yanzhou; Xu, Ke; Ding, Feng; Chen, Shunda; Fan, Zheyong
Chemical Physics Reviews2025

Decision-making of online rescheduling procedures using neuroevolution of augmenting topologies

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DOI
10.1016/B978-0-12-818634-3.50197-1
Ikonen, Teemu; Harjunkoski, Iiro
Computer-aided chemical engineering2019

Neuroevolution machine learning potentials Combining high accuracy and low cost in atomistic simulations and application to heat transport

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DOI
10.1103/PhysRevB.104.104309
Fan, Zheyong; Zeng, Zezhu; Zhang, Cunzhi; Wang, Yanzhou; Song, Keke; Dong, Haikuan; Chen, Yue; Ala-N...
Physical Review B2021

Molecular dynamics simulations of heat transport using machine-learned potentials : A mini-review and tutorial on GPUMD with neuroevolution potentials

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DOI
10.1063/5.0200833
Dong, Haikuan; Shi, Yongbo; Ying, Penghua; Xu, Ke; Liang, Ting; Wang, Yanzhou; Zeng, Zezhu; Wu, Xin;...
Journal of Applied Physics2024

Reinforcement learning of adaptive online rescheduling timing and computing time allocation

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DOI
10.1016/j.compchemeng.2020.106994
Ikonen, Teemu J.; Heljanko, Keijo; Harjunkoski, Iiro
Computers and chemical engineering2020

Combining linear-scaling quantum transport and machine-learning molecular dynamics to study thermal and electronic transports in complex materials

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DOI
10.1088/1361-648X/ad31c2
Fan, Zheyong; Xiao, Yang; Wang, Yanzhou; Ying, Penghua; Chen, Shunda; Dong, Haikuan
Journal of physics: Condensed matter2024

Publish/subscribe assisted neuroevolution in virtual life game

Referentgranskad
DOI
10.1109/SII.2012.6427283
2012

Towards novel deep neuroevolution models : chaotic levy grasshopper optimization for short-term wind speed forecasting

Referentgranskad
Öppen tillgång
DOI
10.1007/s00366-021-01356-0
2022

Variable thermal transport in black, blue, and violet phosphorene from extensive atomistic simulations with a neuroevolution potential

Referentgranskad
Öppen tillgång
DOI
10.1016/j.ijheatmasstransfer.2022.123681
2023

Advances in modeling complex materials : The rise of neuroevolution potentials

Referentgranskad
DOI
10.1063/5.0259061
2025

Decision-making of online rescheduling procedures using neuroevolution of augmenting topologies

Referentgranskad
Öppen tillgång
DOI
10.1016/B978-0-12-818634-3.50197-1
2019

Neuroevolution machine learning potentials Combining high accuracy and low cost in atomistic simulations and application to heat transport

Referentgranskad
Öppen tillgång
DOI
10.1103/PhysRevB.104.104309
2021

Molecular dynamics simulations of heat transport using machine-learned potentials : A mini-review and tutorial on GPUMD with neuroevolution potentials

Referentgranskad
Öppen tillgång
DOI
10.1063/5.0200833
2024

Reinforcement learning of adaptive online rescheduling timing and computing time allocation

Referentgranskad
Öppen tillgång
DOI
10.1016/j.compchemeng.2020.106994
2020

Combining linear-scaling quantum transport and machine-learning molecular dynamics to study thermal and electronic transports in complex materials

Referentgranskad
Öppen tillgång
DOI
10.1088/1361-648X/ad31c2
2024