Search results for: Biao Huang

Items from 1 to 20 out of 647 results

article

Glioblastoma and Solitary Brain Metastasis: Differentiation by Integrating Demographic‐MRI and Deep‐Learning Radiomics Signatures

Yuze Zhang, Hongbo Zhang, Hanwen Zhang, Ying Ouyang, more

Journal of Magnetic Resonance Imaging > 60 > 3 > 909 - 920

Background Studies have shown that deep‐learning radiomics (DLR) could help differentiate glioblastoma (GBM) from solitary brain metastasis (SBM), but whether integrating demographic‐MRI and DLR features can more accurately distinguish GBM from SBM remains uncertain. Purpose To construct and validate a demographic‐MRI deep‐learning radiomics nomogram (DDLRN) integrating demographic‐MRI and DLR...

article

Biosynthesis of NIR‐II Ag₂Se Quantum Dots with Bacterial Catalase for Photoacoustic Imaging and Alleviating‐Hypoxia Photothermal Therapy

Shi‐Hui Chen, Hengke Liu, Biao Huang, Jie Zheng, more

Small > 20 > 28 > n/a - n/a

Developing the second near‐infrared (NIR‐II) photoacoustic (PA) agent is of great interest in bioimaging. Ag₂Se quantum dots (QDs) are one kind of potential probe for applications in NIR‐II photoacoustic imaging (PAI). However, the surfaces with excess anions of Ag₂Se QDs, which increase the probability of nonradiative transitions of excitons benefiting PA imaging, are not conducive to binding electron...

article

Self‐Powered Colorful Dynamic Electrowetting Display Systems Based on Triboelectricity

Xingyi Dai, Jingkun Yang, Chang Shu, Qihua Liang, more

Small > 20 > 27 > n/a - n/a

Electrowetting displays (EWDs) based on microfluidics are highly sought after in the fields of electronic devices, smart homes, and information communication. However, the power supply of the EWD systems for visually engaging multi‐color displays remains a big challenge. Herein, self‐powered colorful dynamic display systems are developed by integrating the triboelectric nanogenerator (TENG) with the...

article

Engineering Copper‐Based Covalent Organic Framework Microenvironments to Enable Efficient CO₂ Electroreduction with Tunable Ethylene/Methane Switch

Qian Chen, Duan‐Hui Si, Qiu‐Jin Wu, Rong Cao, more

Advanced Functional Materials > 34 > 24 > n/a - n/a

A microenvironment engineering strategy has been developed to switch the CO₂ electroreduction reaction (CO₂RR) selectivity from methane (CH₄) to ethylene (C₂H₄) by adjusting the coordination microstructures of trinuclear copper cluster‐based metal‐covalent organic framework (MCOF). When Cu sites are oriented to channels in Cu‐PyCA‐MCOF, methane is the main product. Conversely, when trinuclear copper...

article

Boosting CO₂ Electroreduction over a Covalent Organic Framework in the Presence of Oxygen

Hui Guo, Duan‐Hui Si, Hong‐Jing Zhu, Zi‐Ao Chen, more

Angewandte Chemie International Edition > 63 > 14 > n/a - n/a

Herein, we propose an oxygen‐containing species coordination strategy to boost CO₂ electroreduction in the presence of O₂. A two‐dimensional (2D) conjugated metal‐covalent organic framework (MCOF), denoted as NiPc‐Salen(Co)₂‐COF that is composed of the Ni‐phthalocyanine (NiPc) unit with well‐defined Ni−N₄−O sites and the salen(Co)₂ moiety with binuclear Co−N₂O₂ sites, is developed and synthesized...

article

Boosting CO₂ Electroreduction over a Covalent Organic Framework in the Presence of Oxygen

Hui Guo, Duan‐Hui Si, Hong‐Jing Zhu, Zi‐Ao Chen, more

Angewandte Chemie > 136 > 14 > n/a - n/a

article

Physics‐informed sparse causal inference for source detection of plant‐wide oscillations

Nived Madhusoodanan, Ranjith Chiplunkar, Vamsi Krishna Puli, Biao Huang

AIChE Journal > 70 > 4 > n/a - n/a

Identification of the source of plantwide oscillations is a challenging problem, even with the availability of big data. Causality analysis is often used to construct causal maps and obtain a sequence of fault propagation for an in‐depth investigation. The reliability of the widely used Granger causality depends on the quality of the observed data. But since real‐world industrial data are prone to...

article

Synthesis of 2H/fcc‐Heterophase AuCu Nanostructures for Highly Efficient Electrochemical CO₂ Reduction at Industrial Current Densities

Xichen Zhou, An Zhang, Bo Chen, Shangqian Zhu, more

Advanced Materials > 35 > 51 > n/a - n/a

Structural engineering of nanomaterials offers a promising way for developing high‐performance catalysts toward catalysis. However, the delicate modulation of thermodynamically unfavorable nanostructures with unconventional phases still remains a challenge. Here, the synthesis of hierarchical AuCu nanostructures is reported with hexagonal close‐packed (2H‐type)/face‐centered cubic (fcc) heterophase,...

article

Boosting CO₂ Photoreduction via Regulating Charge Transfer Ability in a One‐Dimensional Covalent Organic Framework

Lei Zou, Zi‐Ao Chen, Duan‐Hui Si, Shuai‐Long Yang, more

Angewandte Chemie International Edition > 62 > 46 > n/a - n/a

Two‐dimensional (2D) imine‐based covalent organic frameworks (COFs) hold potential for photocatalytic CO₂ reduction. However, high energy barrier of imine linkage impede the in‐plane photoelectron transfer process, resulting in inadequate efficiency of CO₂ photoreduction. Herein, we present a dimensionality induced local electronic modulation strategy through the construction of one‐dimensional (1D)...

article

Boosting CO₂ Photoreduction via Regulating Charge Transfer Ability in a One‐Dimensional Covalent Organic Framework

Lei Zou, Zi‐Ao Chen, Duan‐Hui Si, Shuai‐Long Yang, more

Angewandte Chemie > 135 > 46 > n/a - n/a

article

Deep Learning Radiomics for the Assessment of Telomerase Reverse Transcriptase Promoter Mutation Status in Patients With Glioblastoma Using Multiparametric MRI

Hongbo Zhang, Hanwen Zhang, Yuze Zhang, Beibei Zhou, more

Journal of Magnetic Resonance Imaging > 58 > 5 > 1441 - 1451

Background Studies have shown that magnetic resonance imaging (MRI)‐based deep learning radiomics (DLR) has the potential to assess glioma grade; however, its role in predicting telomerase reverse transcriptase (TERT) promoter mutation status in patients with glioblastoma (GBM) remains unclear. Purpose To evaluate the value of deep learning (DL) in multiparametric MRI‐based radiomics in identifying...

article

Seeded Synthesis of Hollow PdSn Intermetallic Nanomaterials for Highly Efficient Electrocatalytic Glycerol Oxidation

Biao Huang, Yiyao Ge, An Zhang, Shangqian Zhu, more

Advanced Materials > 35 > 35 > n/a - n/a

Intermetallic nanomaterials have shown promising potential as high‐performance catalysts in various catalytic reactions due to their unconventional crystal phases with ordered atomic arrangements. However, controlled synthesis of intermetallic nanomaterials with tunable crystal phases and unique hollow morphologies remains a challenge. Here, a seeded method is developed to synthesize hollow PdSn intermetallic...

article

Atomically Precise Copper Nanoclusters for Highly Efficient Electroreduction of CO₂ towards Hydrocarbons via Breaking the Coordination Symmetry of Cu Site

Qiu‐Jin Wu, Duan‐Hui Si, Pan‐Pan Sun, Yu‐Liang Dong, more

Angewandte Chemie International Edition > 62 > 36 > n/a - n/a

We propose an effective highest occupied d‐orbital modulation strategy engendered by breaking the coordination symmetry of sites in the atomically precise Cu nanocluster (NC) to switch the product of CO₂ electroreduction from HCOOH/CO to higher‐valued hydrocarbons. An atomically well‐defined Cu₆ NC with symmetry‐broken Cu−S₂N₁ active sites (named Cu₆(MBD)₆, MBD=2‐mercaptobenzimidazole) was designed...

article

Atomically Precise Copper Nanoclusters for Highly Efficient Electroreduction of CO₂ towards Hydrocarbons via Breaking the Coordination Symmetry of Cu Site

Qiu‐Jin Wu, Duan‐Hui Si, Pan‐Pan Sun, Yu‐Liang Dong, more

Angewandte Chemie > 135 > 36 > n/a - n/a

article

Data‐driven set‐point tuning of model‐free adaptive control

Na Lin, Ronghu Chi, Yang Liu, Zhongsheng Hou, more

International Journal of Robust and Nonlinear Control > 33 > 13 > 7667 - 7686

Model‐free adaptive control (MFAC) is an effective data‐driven control method to deal with nonlinear and nonaffine systems. In this article, a data‐driven set‐point tuning (DDST) approach is proposed for MFAC to enhance its control performance. The proposed data‐driven set‐point tuning based MFAC (DDST‐MFAC) system consists of two control loops. The inner control loop takes the MFAC as the feedback...

article

Modelling temperature dynamics of the SAGD process in an oil reservoir by the discovery of parametric partial differential equations

Kiran Raviprakash, Ajay Ganesh, Biao Huang, Vinay Prasad

The Canadian Journal of Chemical Engineering > 101 > 7 > 3948 - 3962

Many chemical and industrial processes are complex, and the dynamics of such processes cannot be explained using a partial differential equation (PDE) or a system of PDEs with constant coefficients. Parametric PDEs, that is, PDEs with their coefficients varying across time or space, are utilized for this purpose. The non‐availability of data at all spatial locations and partially available process...

article

Model predictive control of agro‐hydrological systems based on a two‐layer neural network modeling framework

Zhiyinan Huang, Jinfeng Liu, Biao Huang

International Journal of Adaptive Control and Signal Processing > 37 > 6 > 1536 - 1558

Water scarcity is an urgent issue to be resolved and improving irrigation water‐use efficiency through closed‐loop control is essential. The complex agro‐hydrological system dynamics, however, often pose challenges in closed‐loop control applications. In this work, we propose a two‐layer neural network (NN) framework to approximate the dynamics of the agro‐hydrological system. To minimize the prediction...

article

Innentitelbild: Boosting Electroreduction of CO₂ over Cationic Covalent Organic Frameworks: Hydrogen Bonding Effects of Halogen Ions (Angew. Chem. 7/2023)

Qiu‐Jin Wu, Duan‐Hui Si, Qiao Wu, Yu‐Liang Dong, more

Angewandte Chemie > 135 > 7 > n/a - n/a

A hydrogen bonding strategy for achieving an excellent electrocatalytic CO₂ reduction reaction performance over an imidazolium‐functionalized covalent organic framework (Co‐iBFBim‐COF‐X) is reported by Yuan‐Biao Huang and co‐workers in their Research Article (e202215687). The halogen anions can form hydrogen bonds with intermediates (*COOH) and thus lower the energy barrier to the formation of CO...

article

Boosting Electroreduction of CO₂ over Cationic Covalent Organic Frameworks: Hydrogen Bonding Effects of Halogen Ions

Qiu‐Jin Wu, Duan‐Hui Si, Qiao Wu, Yu‐Liang Dong, more

Angewandte Chemie > 135 > 7 > n/a - n/a

We present the first example of charged imidazolium functionalized porphyrin‐based covalent organic framework (Co‐iBFBim‐COF‐X) for electrocatalytic CO₂ reduction reaction, where the free anions (e.g., F⁻, Cl⁻, Br⁻, and I⁻) of imidazolium ions nearby the active Co sites can stabilize the key intermediate *COOH and inhibit hydrogen evolution reaction. Thus, Co‐iBFBim‐COF‐X exhibits higher activity...

article

Inside Cover: Boosting Electroreduction of CO₂ over Cationic Covalent Organic Frameworks: Hydrogen Bonding Effects of Halogen Ions (Angew. Chem. Int. Ed. 7/2023)

Qiu‐Jin Wu, Duan‐Hui Si, Qiao Wu, Yu‐Liang Dong, more

Angewandte Chemie International Edition > 62 > 7 > n/a - n/a

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INFONA - science communication portal

Search results for: Biao Huang

Glioblastoma and Solitary Brain Metastasis: Differentiation by Integrating Demographic‐MRI and Deep‐Learning Radiomics Signatures

Biosynthesis of NIR‐II Ag₂Se Quantum Dots with Bacterial Catalase for Photoacoustic Imaging and Alleviating‐Hypoxia Photothermal Therapy

Self‐Powered Colorful Dynamic Electrowetting Display Systems Based on Triboelectricity

Engineering Copper‐Based Covalent Organic Framework Microenvironments to Enable Efficient CO₂ Electroreduction with Tunable Ethylene/Methane Switch

Boosting CO₂ Electroreduction over a Covalent Organic Framework in the Presence of Oxygen

Boosting CO₂ Electroreduction over a Covalent Organic Framework in the Presence of Oxygen

Physics‐informed sparse causal inference for source detection of plant‐wide oscillations

Synthesis of 2H/fcc‐Heterophase AuCu Nanostructures for Highly Efficient Electrochemical CO₂ Reduction at Industrial Current Densities

Boosting CO₂ Photoreduction via Regulating Charge Transfer Ability in a One‐Dimensional Covalent Organic Framework

Boosting CO₂ Photoreduction via Regulating Charge Transfer Ability in a One‐Dimensional Covalent Organic Framework

Deep Learning Radiomics for the Assessment of Telomerase Reverse Transcriptase Promoter Mutation Status in Patients With Glioblastoma Using Multiparametric MRI

Seeded Synthesis of Hollow PdSn Intermetallic Nanomaterials for Highly Efficient Electrocatalytic Glycerol Oxidation

Atomically Precise Copper Nanoclusters for Highly Efficient Electroreduction of CO₂ towards Hydrocarbons via Breaking the Coordination Symmetry of Cu Site

Atomically Precise Copper Nanoclusters for Highly Efficient Electroreduction of CO₂ towards Hydrocarbons via Breaking the Coordination Symmetry of Cu Site

Data‐driven set‐point tuning of model‐free adaptive control

Modelling temperature dynamics of the SAGD process in an oil reservoir by the discovery of parametric partial differential equations

Model predictive control of agro‐hydrological systems based on a two‐layer neural network modeling framework

Innentitelbild: Boosting Electroreduction of CO₂ over Cationic Covalent Organic Frameworks: Hydrogen Bonding Effects of Halogen Ions (Angew. Chem. 7/2023)

Boosting Electroreduction of CO₂ over Cationic Covalent Organic Frameworks: Hydrogen Bonding Effects of Halogen Ions

Inside Cover: Boosting Electroreduction of CO₂ over Cationic Covalent Organic Frameworks: Hydrogen Bonding Effects of Halogen Ions (Angew. Chem. Int. Ed. 7/2023)

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