Haikuan Dong

Bohai University — China

Materials Science · Physical Sciences

22h-index2.2kcitations88works19.32yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Thermal properties of materials(27), Machine Learning in Materials Science(25), Quantum Information and Cryptography(21), Graphene research and applications(17), Quantum optics and atomic interactions(13)

Publications88 total

Anisotropic and isotropic elasticity and thermal transport in monolayer C24 networks from machine-learning molecular dynamics
International Journal of Heat and Mass Transfer·2026Open Access
Optimizing thermoelectric performance of graphene antidot lattices via quantum transport and machine-learning molecular dynamics simulations
Physical Review Materials·2025· 3 cited
NEP89: Universal neuroevolution potential for inorganic and organic materials across 89 elements
2025· 2 citedOpen Access
GPUMD 4.0: A high‐performance molecular dynamics package for versatile materials simulations with machine‐learned potentials
Materials Genome Engineering Advances·2025· 38 citedOpen Access
Coherent heat transport in graphene grain boundary superlattices
Physica Scripta·2025· 1 cited
NEP89: Universal neuroevolution potential for inorganic and organic materials across 89 elements
ArXiv.org·2025· 2 citedOpen Access
Optimizing thermoelectric performance of graphene antidot lattices via quantum transport and machine-learning molecular dynamics simulations
arXiv (Cornell University)·2025· 1 citedOpen Access
Coherent and incoherent phonon transport in graphene/h-BN superlattice: A machine learning potential
Physica E Low-dimensional Systems and Nanostructures·2025· 5 cited
Million-atom heat transport simulations of polycrystalline graphene approaching first-principles accuracy enabled by neuroevolution potential on desktop GPUs
Journal of Applied Physics·2025· 12 citedOpen Access
Crystallization of h-BN by molecular dynamics simulation using a machine learning interatomic potential
Computational Materials Science·2024· 9 cited
General-purpose machine-learned potential for 16 elemental metals and their alloys
Nature Communications·2024· 121 citedOpen Access
Million-atom heat transport simulations of polycrystalline graphene approaching first-principles accuracy enabled by neuroevolution potential on desktop GPUs
arXiv (Cornell University)·2024· 1 citedOpen Access
Correcting force error-induced underestimation of lattice thermal conductivity in machine learning molecular dynamics
The Journal of Chemical Physics·2024· 33 cited
Thermal conductivity of irregularly shaped nanoparticles from equilibrium molecular dynamics
Journal of Physics Condensed Matter·2024· 2 cited
Molecular dynamics simulations of heat transport using machine-learned potentials: A mini-review and tutorial on GPUMD with neuroevolution potentials
Journal of Applied Physics·2024· 75 citedOpen Access
Combining linear-scaling quantum transport and machine-learning molecular dynamics to study thermal and electronic transports in complex materials
Journal of Physics Condensed Matter·2024· 22 citedOpen Access
Thermal transports of 2D phosphorous carbides by machine learning molecular dynamics simulations
International Journal of Heat and Mass Transfer·2024· 12 cited
A Two‐Step Entanglement Concentration for the Less‐Entangled Four‐Photon Cluster States
Advanced Quantum Technologies·2024· 9 citedOpen Access
Reduction of thermal conductivity in carbon nanotubes by fullerene encapsulation from machine-learning molecular dynamics simulations
Journal of Applied Physics·2023· 7 cited
General-purpose machine-learned potential for 16 elemental metals and their alloys
2023· 2 citedOpen Access
page 1 of 5Next →

Frequent Co-authors

Xiao‐Ming Xiu(20), Zheyong Fan(17), Li Dong(15), Tapio Ala-Nissilä(10), Li-Bin Shi(10), Ping Qian(9), Penghua Ying(8), Yanjing Su(7), Qingyang Li(7), Yajun Gao(7), Yajun Gao(6), Zezhu Zeng(5), Shunda Chen(5), Yanzhou Wang(5), Shuo Cao(5), Yan-Fang Lin(5), Keke Song(4), Ke Xu(4), Yue Chen(4), Ting Liang(4)