Zhenghao Wu

A practical guide to machine learning interatomic potentials – Status and future

Ryan Jacobs, Dane Morgan, Siamak Attarian et al. · Current Opinion in Solid State and Materials Science · 2025 · 105 citations · Full text

Engineering, Machine Learning, Data Science +5

Boron-modified perhydropolysilazane towards facile synthesis of amorphous SiBN ceramic with excellent thermal stability

Ying Zhan, Wei Li, Tianshu Jiang et al. · Journal of Advanced Ceramics · 2022 · 43 citations · Full text

Engineering, Chemistry, Borophene +16

Sequence-Engineering Polyethylene–Polypropylene Copolymers with High Thermal Conductivity Using a Molecular-Dynamics-Based Genetic Algorithm

Tianhang Zhou, Zhenghao Wu, Hari Krishna Chilukoti et al. · Journal of Chemical Theory and Computation · 2021 · 42 citations

Learning pair potentials using differentiable simulations

Wujie Wang, Zhenghao Wu, Johannes C. B. Dietschreit et al. · The Journal of Chemical Physics · 2023 · 33 citations · Full text

Numerical Analysis, Engineering, Machine Learning +20

Combination of Hybrid Particle-Field Molecular Dynamics and Slip-Springs for the Efficient Simulation of Coarse-Grained Polymer Models: Static and Dynamic Properties of Polystyrene Melts

Zhenghao Wu, Giuseppe Milano, Florian Müller‐Plathe · Journal of Chemical Theory and Computation · 2020 · 27 citations

Engineering, Mechanical Engineering, Relaxation Time +23