Penglong Liu

Using an ensemble machine learning methodology-Bagging to predict occupants’ thermal comfort in buildings

Zhibin Wu, Nianping Li, Jinqing Peng et al. · Energy and Buildings · 2018 · 110 citations

Built Environment, Engineering, Machine Learning +9

Highly Efficient Catalytic Hydrogen Evolution from Ammonia Borane Using the Synergistic Effect of Crystallinity and Size of Noble-Metal-Free Nanoparticles Supported by Porous Metal–Organic Frameworks

Penglong Liu, Xiaojun Gu, Kai Kang et al. · ACS Applied Materials & Interfaces · 2017 · 91 citations

Achieving efficient room-temperature catalytic H2 evolution from formic acid through atomically controlling the chemical environment of bimetallic nanoparticles immobilized by isoreticular amine-functionalized metal-organic frameworks

Jia Cheng, Xiaojun Gu, Penglong Liu et al. · Applied Catalysis B: Environmental · 2017 · 78 citations

Chemical Engineering, Engineering, Chemical Environment +9

Highly efficient visible-light-driven catalytic hydrogen evolution from ammonia borane using non-precious metal nanoparticles supported by graphitic carbon nitride

Hao Zhang, Xiaojun Gu, Penglong Liu et al. · Journal of Materials Chemistry A · 2016 · 75 citations

Hydrogen Energy Technology, Engineering, Metal Nanoparticles +16

Visible-light-driven catalytic activity enhancement of Pd in AuPd nanoparticles for hydrogen evolution from formic acid at room temperature

Penglong Liu, Xiaojun Gu, Hao Zhang et al. · Applied Catalysis B: Environmental · 2016 · 71 citations

Materials Science, Aupd Nanoparticles, Chemical Engineering +10