Search Results - "Huang, Biao"

A review On reinforcement learning: Introduction and applications in industrial process control by Nian, Rui, Liu, Jinfeng, Huang, Biao

“…•An overview of reinforcement learning with tutorials for industrial practitioners on implementing RL solutions into process control applications.•An…”
Get full text

Self‐Healing, Flexible, and Tailorable Triboelectric Nanogenerators for Self‐Powered Sensors based on Thermal Effect of Infrared Radiation by Dai, Xingyi, Huang, Long‐Biao, Du, Yuzhang, Han, Jiancheng, Zheng, Qiuqun, Kong, Jie, Hao, Jianhua

“…Self‐healing triboelectric nanogenerators (TENGs) with flexibility, robustness, and conformability are highly desirable for promising flexible and wearable…”
Get full text

Performance-Driven Distributed PCA Process Monitoring Based on Fault-Relevant Variable Selection and Bayesian Inference by Jiang, Qingchao, Yan, Xuefeng, Huang, Biao

“…Multivariate statistical process monitoring involves dimension reduction and latent feature extraction in large-scale processes and typically incorporates all…”
Get full text

Highly Selective Tandem Electroreduction of CO2 to Ethylene over Atomically Isolated Nickel–Nitrogen Site/Copper Nanoparticle Catalysts by Meng, Dong‐Li, Zhang, Meng‐Di, Si, Duan‐Hui, Mao, Min‐Jie, Hou, Ying, Huang, Yuan‐Biao, Cao, Rong

“…Herein, an effective tandem catalysis strategy is developed to improve the selectivity of the CO2RR towards C2H4 by multiple distinct catalytic sites in local…”
Get full text

Highly Selective CO2 Electroreduction to CH4 by In Situ Generated Cu2O Single‐Type Sites on a Conductive MOF: Stabilizing Key Intermediates with Hydrogen Bonding by Yi, Jun‐Dong, Xie, Ruikuan, Xie, Zai‐Lai, Chai, Guo‐Liang, Liu, Tian‐Fu, Chen, Rui‐Ping, Huang, Yuan‐Biao, Cao, Rong

“…It is still a great challenge to achieve high selectivity of CH4 in CO2 electroreduction reactions (CO2RR) because of the similar reduction potentials of…”
Get full text

Porous Metal–Organic Framework Liquids for Enhanced CO2 Adsorption and Catalytic Conversion by Zou, Yu‐Huang, Huang, Yuan‐Biao, Si, Duan‐Hui, Yin, Qi, Wu, Qiu‐Jin, Weng, Zixiang, Cao, Rong

“…The unique applications of porous metal–organic framework (MOF) liquids with permanent porosity and fluidity have attracted significant attention. However,…”
Get full text

Conductive Two‐Dimensional Phthalocyanine‐based Metal–Organic Framework Nanosheets for Efficient Electroreduction of CO2 by Yi, Jun‐Dong, Si, Duan‐Hui, Xie, Ruikuan, Yin, Qi, Zhang, Meng‐Di, Wu, Qiao, Chai, Guo‐Liang, Huang, Yuan‐Biao, Cao, Rong

“…The electrocatalytic conversion of CO2 into value‐added chemicals is a promising approach to realize a carbon‐energy balance. However, low current density…”
Get full text

A CO2‐Masked Carbene Functionalized Covalent Organic Framework for Highly Efficient Carbon Dioxide Conversion by He, Chang, Si, Duan‐Hui, Huang, Yuan‐Biao, Cao, Rong

“…Free N‐heterocyclic carbenes (NHCs) are generally prepared by treatment of imidazolium precursors with strong alkali reagents, which usually produces inactive…”
Get full text

Survey on the theoretical research and engineering applications of multivariate statistics process monitoring algorithms: 2008–2017 by Wang, Youqing, Si, Yabin, Huang, Biao, Lou, Zhijiang

“…Multivariate statistical process monitoring (MSPM) methods are significant for improving production efficiency and enhancing safety. However, to the authors’…”
Get full text

Bayesian methods for control loop monitoring and diagnosis by Huang, Biao

“…There exist many algorithms for control performance monitoring. There are also many algorithms available for process monitoring. There are, however, few…”
Get full text

Geochemical baseline establishment and ecological risk evaluation of heavy metals in greenhouse soils from Dongtai, China by Tian, Kang, Huang, Biao, Xing, Zhe, Hu, Wenyou

“…•Geochemical baselines of heavy metals (HMs) were established in greenhouse soils.•The established baselines facilitated a more accurate HM evaluation.•Cd was…”
Get full text

Soft Robotic‐Adapted Multimodal Sensors Derived from Entirely Intrinsic Self‐Healing and Stretchable Cross‐Linked Networks by Dai, Xingyi, Wu, Yinghui, Liang, Qihua, Yang, Jingkun, Huang, Long‐Biao, Kong, Jie, Hao, Jianhua

“…Abstract Flexible sensing technologies that play a pivotal role in endowing robots with detection capabilities and monitoring their motions are impulsively…”
Get full text

Conductive Phthalocyanine‐Based Covalent Organic Framework for Highly Efficient Electroreduction of Carbon Dioxide by Zhang, Meng‐Di, Si, Duan‐Hui, Yi, Jun‐Dong, Zhao, Shao‐Shuai, Huang, Yuan‐Biao, Cao, Rong

“…The electroreduction of CO2 to value‐added chemicals such as CO is a promising approach to realize carbon‐neutral energy cycle, but still remains big challenge…”
Get full text

Boosting CO2 Electroreduction over a Covalent Organic Framework in the Presence of Oxygen by Guo, Hui, Si, Duan‐Hui, Zhu, Hong‐Jing, Chen, Zi‐Ao, Cao, Rong, Huang, Yuan‐Biao

“…Herein, we propose an oxygen‐containing species coordination strategy to boost CO2 electroreduction in the presence of O2. A two‐dimensional (2D) conjugated…”
Get full text

Construction of Donor–Acceptor Heterojunctions in Covalent Organic Framework for Enhanced CO2 Electroreduction by Wu, Qiao, Mao, Min‐Jie, Wu, Qiu‐Jin, Liang, Jun, Huang, Yuan‐Biao, Cao, Rong

“…Covalent organic frameworks (COFs) are promising candidates for electrocatalytic reduction of carbon dioxide into valuable chemicals due to their porous…”
Get full text

Dynamical Singularities of Floquet Higher-Order Topological Insulators by Hu, Haiping, Huang, Biao, Zhao, Erhai, Liu, W Vincent

“…We propose a versatile framework to dynamically generate Floquet higher-order topological insulators by multistep driving of topologically trivial…”
Get full text

Bayesian Learning for Dynamic Feature Extraction With Application in Soft Sensing by Ma, Yanjun, Huang, Biao

“…Data-driven techniques such as principal component analysis (PCA) have been widely used to derive predictive models from historical data and applied for…”
Get full text

Source apportionment of soil heavy metals using robust absolute principal component scores-robust geographically weighted regression (RAPCS-RGWR) receptor model by Qu, Mingkai, Wang, Yan, Huang, Biao, Zhao, Yongcun

“…The traditional source apportionment models, such as absolute principal component scores-multiple linear regression (APCS-MLR), are usually susceptible to…”
Get full text

Hierarchical Quality-Relevant Feature Representation for Soft Sensor Modeling: A Novel Deep Learning Strategy by Yuan, Xiaofeng, Zhou, Jiao, Huang, Biao, Wang, Yalin, Yang, Chunhua, Gui, Weihua

“…Deep learning is a recently developed feature representation technique for data with complicated structures, which has great potential for soft sensing of…”
Get full text

Rational design and facile synthesis of two-dimensional hierarchical porous M3V2O8 (M = Co, Ni and Co–Ni) thin sheets assembled by ultrathin nanosheets as positive electrode materials for high-performance hybrid supercapacitors by Huang, Biao, Wang, Wensong, Pu, Tao, Li, Jie, Zhao, Chenglan, Xie, Li, Chen, Lingyun

“…[Display omitted] •2D porous CVO, NVO and CNVO sheets were synthesized by a hydrothermal method.•The porous thin sheets display a high BET specific surface…”
Get full text