S. Han

发表

Machine learning for accelerated prediction of the Seebeck coefficient at arbitrary carrier concentration

Mengke Li, Hongmei Yuan, S. Han, 2022, Materials Today Physics.

High-Throughput Prediction of the Band Gaps of van der Waals Heterostructures via Machine Learning

Huijun Liu, S. Han, Rui-Zi Hu, 2022, Nanomaterials.

Visual analysis of action using machine learning and distributed expectation-maximization algorithm

S. Han, Feng Mao, 2022, Computers and Electrical Engineering.

Designing Rashba systems for high thermoelectric performance based on the van der Waals heterostructure

Huijun Liu, Xin Li, D. J. Singh, 2022, Materials Today Physics.

A high-throughput descriptor for prediction of lattice thermal conductivity of half-Heusler compounds

Huijun Liu, G. Cao, C. Sheng, 2020, Journal of Physics D: Applied Physics.

HfSe2/GaSe Heterostructure as a Promising Near-Room-Temperature Thermoelectric Material

Mengke Li, S. Han, Rui-Zi Hu, 2022, The Journal of Physical Chemistry C.

The effects of electron-phonon coupling on the phonon transport properties of the Weyl semimetals NbAs and TaAs: A comparative study

Yufeng Luo, S. Han, Huijun Liu, 2022, Journal of Materiomics.

The Thermal Stability of Janus Monolayers SnXY (X, Y = O, S, Se): Ab-Initio Molecular Dynamics and Beyond

Huijun Liu, Yu-Ran Luo, S. Han, 2021, Nanomaterials.

Decoupling thermoelectric transport coefficients of Dirac semimetal Na2AgSb with intrinsically ultralow lattice thermal conductivity

Huijun Liu, Hong-Zhong Yuan, C. Sheng, 2021, Materials Today Physics.

Promising thermoelectric performance of full-Heusler compound Sr2AuBi

H.M. Yuan, C. Sheng, S. Han, 2021, Physics Letters A.

Ultralow lattice thermal conductivity and high thermoelectric performance of the WS2/WTe2 van der Waals superlattice

Huijun Liu, C. Sheng, S. Han, 2022, Physics Letters A.

nn-Meter: towards accurate latency prediction of deep-learning model inference on diverse edge devices

Yunxin Liu, L. Zhang, Yuqing Yang, 2021, MobiSys.

Boosting Mobile CNN Inference through Semantic Memory

Baoqun Yin, Yunxin Liu, Chen Zhang, 2021, ACM Multimedia.

Sensitivity of the electronic and topological properties of tetradymites upon atomic mutations

G. Cao, C. Sheng, S. Han, 2022, Computational Materials Science.

Surprisingly good thermoelectric performance of monolayer C3N

H. J. Liu, S. Han, W. Jiao, 2021, Nanotechnology.

Operando Studies of Electrochemical Denitrogenation and Its Mitigation of N-Doped Carbon Catalysts in Alkaline Media

Lingjiao Li, Xiaoyue Yan, Kai Zhao, 2023, ACS catalysis.

nn-Meter: towards accurate latency prediction of deep-learning model inference on diverse edge devices

Yunxin Liu, Ningxin Zheng, Li Lyna Zhang, 2021, MobiSys.