Zheyong Fan

ResearcherID Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 22

Top Venues

Journal of physics. Condensed matter : an Institute of Physics journal

Journal of chemical theory and computation

Nature communications

The Journal of chemical physics

Aalto-yliopisto

Nanjing University (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Aalto-yliopisto Sep 01 2012

Finland

Postdoc :: Applied Physics

Xiamen University Sep 01 2010 - Jul 01 2012

China

Postdoc :: Physics

Education History

Nanjing University Sep 01 2005 - Jul 01 2010

China

PHD :: Physics

Publications

Zezhu Zeng, Xingchen Shen, Ruihuan Cheng, Olivier Perez, Niuchang Ouyang, Zheyong Fan, Pierric Lemoine, Bernard Raveau, Emmanuel Guilmeau, Yue Chen
Pushing thermal conductivity to its lower limit in crystals with simple structures. Nature communications 15 (1) (2024)
Zheyong Fan, Yang Xiao, Yanzhou Wang, Penghua Ying, Shunda Chen, Hai-Kuan Dong
Combining linear-scaling quantum transport and machine-learning molecular dynamics to study thermal and electronic transports in complex materials. Journal of physics. Condensed matter : an Institute of Physics journal (2024)
Zheyong Fan, Yang Xiao, Yanzhou Wang, Penghua Ying, Shunda Chen, Hai-Kuan Dong
Combining linear-scaling quantum transport and machine-learning molecular dynamics to study thermal and electronic transports in complex materials. Journal of physics. Condensed matter : an Institute of Physics journal 36 (24) (2024)
Mandi Fang, Shi Tang, Zheyong Fan, Yao Shi, Nan Xu, Yi He
Transferability of Machine Learning Models for Predicting Raman Spectra. The journal of physical chemistry. A (2024)
Nan Xu, Petter Rosander, Christian Schäfer, Eric Lindgren, Nicklas Österbacka, Mandi Fang, Wei Chen, Yi He, Zheyong Fan, Paul Erhart
Tensorial Properties via the Neuroevolution Potential Framework: Fast Simulation of Infrared and Raman Spectra. Journal of chemical theory and computation 20 (8) (2024)
Penghua Ying, Zheyong Fan
Erratum: Combining the D3 dispersion correction with the neuroevolution machine-learned potential (2024 J. Phys.: Condens. Matter 36 125901). Journal of physics. Condensed matter : an Institute of Physics journal 36 (22) (2024)
Zezhu Zeng, Xingchen Shen, Ruihuan Cheng, Olivier Perez, Niuchang Ouyang, Zheyong Fan, Pierric Lemoine, Bernard Raveau, Emmanuel Guilmeau, Yue Chen
Pushing thermal conductivity to its lower limit in crystals with simple structures. Nature communications 15 (1) (2024)
Zezhu Zeng, Xingchen Shen, Ruihuan Cheng, Olivier Perez, Niuchang Ouyang, Zheyong Fan, Pierric Lemoine, Bernard Raveau, Emmanuel Guilmeau, Yue Chen
Pushing thermal conductivity to its lower limit in crystals with simple structures. Nature communications 15 (1) (2024)
Mandi Fang, Shi Tang, Zheyong Fan, Yao Shi, Nan Xu, Yi He
Transferability of Machine Learning Models for Predicting Raman Spectra. The journal of physical chemistry. A 128 (12) (2024)
Nan Xu, Petter Rosander, Christian Schäfer, Eric Lindgren, Nicklas Österbacka, Mandi Fang, Wei Chen, Yi He, Zheyong Fan, Paul Erhart
Tensorial Properties via the Neuroevolution Potential Framework: Fast Simulation of Infrared and Raman Spectra. Journal of chemical theory and computation (2024)
Nan Xu, Petter Rosander, Christian Schäfer, Eric Lindgren, Nicklas Österbacka, Mandi Fang, Wei Chen, Yi He, Zheyong Fan, Paul Erhart
Tensorial Properties via the Neuroevolution Potential Framework: Fast Simulation of Infrared and Raman Spectra. Journal of chemical theory and computation 20 (8) (2024)
Nan Xu, Petter Rosander, Christian Schäfer, Eric Lindgren, Nicklas Österbacka, Mandi Fang, Wei Chen, Yi He, Zheyong Fan, Paul Erhart
Tensorial Properties via the Neuroevolution Potential Framework: Fast Simulation of Infrared and Raman Spectra. Journal of chemical theory and computation 20 (8) (2024)
Nan Xu, Petter Rosander, Christian Schäfer, Eric Lindgren, Nicklas Österbacka, Mandi Fang, Wei Chen, Yi He, Zheyong Fan, Paul Erhart
Tensorial Properties via the Neuroevolution Potential Framework: Fast Simulation of Infrared and Raman Spectra. Journal of chemical theory and computation 20 (8) (2024)
Ke Xu, Yongchao Hao, Ting Liang, Penghua Ying, Jian-Bin Xu, Jianyang Wu, Zheyong Fan
Accurate prediction of heat conductivity of water by a neuroevolution potential. The Journal of chemical physics 158 (20) (2023)
Penghua Ying, Zheyong Fan
Combining the D3 dispersion correction with the neuroevolution machine-learned potential. Journal of physics. Condensed matter : an Institute of Physics journal (2023)
Penghua Ying, Ting Liang, Ke Xu, Jin Zhang, Jian-Bin Xu, Zheng Zhong, Zheyong Fan
Sub-Micrometer Phonon Mean Free Paths in Metal-Organic Frameworks Revealed by Machine Learning Molecular Dynamics Simulations. ACS applied materials & interfaces (2023)
Fredrik Eriksson, Erik Fransson, Christopher Linderälv, Zheyong Fan, Paul Erhart
Tuning the Through-Plane Lattice Thermal Conductivity in van der Waals Structures through Rotational (Dis)ordering. ACS nano (2023)
Zheyong Fan, Yanzhou Wang, Penghua Ying, Keke Song, Junjie Wang, Yong Wang, Zezhu Zeng, Ke Xu, Eric Lindgren, J Magnus Rahm, Alexander J Gabourie, Jiahui Liu, Hai-Kuan Dong, Jianyang Wu, Yue Chen, Zheng Zhong, Jian Sun, Paul Erhart, Yanjing Su, Tapio Ala-Nissila
GPUMD: A package for constructing accurate machine-learned potentials and performing highly efficient atomistic simulations. The Journal of chemical physics 157 (11) (2022)
Zheyong Fan
Improving the accuracy of the neuroevolution machine learning potential for multi-component systems. Journal of physics. Condensed matter : an Institute of Physics journal 34 (12) (2022)
Yanzhou Wang, Zheyong Fan, Ping Qian, Tapio Ala-Nissila, Miguel A Caro
Correction to "Structure and Pore Size Distribution in Nanoporous Carbon". Chemistry of materials : a publication of the American Chemical Society 34 (19) (2022)
Zhen Li, Shiyun Xiong, Charles Sievers, Yue Hu, Zheyong Fan, Ning Wei, Hua Bao, Shunda Chen, Davide Donadio, Tapio Ala-Nissila
Influence of thermostatting on nonequilibrium molecular dynamics simulations of heat conduction in solids. The Journal of chemical physics 151 (23) (2019)
Zheyong Fan, Petri Hirvonen, Luiz Felipe C Pereira, Mikko M Ervasti, Ken R Elder, Davide Donadio, Ari Harju, Tapio Ala-Nissila
Bimodal Grain-Size Scaling of Thermal Transport in Polycrystalline Graphene from Large-Scale Molecular Dynamics Simulations. Nano letters 17 (10) (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Zheyong Fan