Xiaoshan Huang

ORCID: 0000-0003-1986-6683
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About
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Research Areas
  • Optimization and Variational Analysis
  • Advanced Optimization Algorithms Research
  • Metal-Organic Frameworks: Synthesis and Applications
  • Education and Learning Interventions
  • Sparse and Compressive Sensing Techniques
  • Covalent Organic Framework Applications
  • Machine Learning in Materials Science
  • Solar and Space Plasma Dynamics
  • Chemical Synthesis and Characterization
  • Zeolite Catalysis and Synthesis
  • Gas Sensing Nanomaterials and Sensors
  • Enhanced Oil Recovery Techniques
  • Gut microbiota and health
  • Clostridium difficile and Clostridium perfringens research
  • Stock Market Forecasting Methods
  • Contact Mechanics and Variational Inequalities
  • HIV Research and Treatment
  • Membrane Separation and Gas Transport
  • Fixed Point Theorems Analysis
  • Hydrocarbon exploration and reservoir analysis
  • Architecture, Design, and Social History
  • stochastic dynamics and bifurcation
  • HIV/AIDS drug development and treatment
  • Nutrition, Health and Food Behavior
  • Traditional Chinese Medicine Analysis

Guangzhou University
2023-2025

University of Hong Kong
2024

Kunming Institute of Zoology
2024

Chinese Academy of Sciences
2024

Qiqihar University
2024

Chongqing University
2011-2023

South China University of Technology
2011-2022

Capital Normal University
2016

Guangdong Institute for Drug Control
2012

Fudan University
2010

Abstract For gas separation and catalysis by metal‐organic frameworks (MOFs), diffusion has a substantial impact on the process' overall rate, so it is necessary to determine molecular behavior within MOFs. In this study, an interpretable machine learing (ML) model, light gradient boosting (LGBM), trained predict diffusivity selectivity of 9 gases (Kr, Xe, CH 4 , N 2 H S, O CO He). these gases, LGBM displays high accuracy (average R = 0.962) superior extrapolation for C 6 . And model...

10.1002/advs.202301461 article EN cc-by Advanced Science 2023-05-11

Designing a novel adsorbent with high selectivity and absorptive capacity to remove I2 remains challenging task. In this work, series of porphyrin-based hyper-cross-linked porous organic polymers (PHCPs) dual hydroxy-rich structure were synthesized by the Friedel–Crafts reaction. PHCPs exhibit excellent thermal stability. The incorporation abundant π-electrons heteroatoms (N/O) in framework leads substantial charge transfer interactions iodine, resulting adsorption (469 mg g–1) rapid...

10.1021/acssuschemeng.4c03696 article EN ACS Sustainable Chemistry & Engineering 2024-08-01

Abstract Mixed matrix membranes (MMMs) are renowned for their exceptional gas separation capabilities. In this work, high‐throughput computing screening and machine learning employed to evaluate the CO 2 performance of 54117 MMMs composed 9 polymers 6013 metal–organic frameworks (MOFs). The structure‐property relationships analyzed 4 binary mixtures (CO /X, X = CH , N H O ), best‐performing combinations MOFs found, with which MMM exceeded Robeson's upper limit. Then, a stacked ensemble...

10.1002/advs.202405905 article EN cc-by Advanced Science 2025-02-27

We examine the validity of zero duality gap properties for two important dual schemes: a generalized augmented Lagrangian scheme and nonlinear Lagrange-type scheme. The necessary sufficient conditions property to hold are established in terms lower semicontinuity perturbation functions.

10.1287/moor.27.4.775.295 article EN Mathematics of Operations Research 2002-11-01

Abstract In this article, we discuss a nondifferentiable nonlinear penalty method for an optimization problem with inequality constraints. A smoothing is proposed the nonsmooth function. Error estimations are obtained among optimal value of smoothed problem, and that original constrained problem. We give algorithm based on prove convergence algorithm. The efficiency illustrated numerical example.

10.1081/nfa-120022928 article EN Numerical Functional Analysis and Optimization 2003-01-08

With the rapid growth of economy, people are increasingly reliant on energy sources. However, in recent years, crisis has gradually intensified. As a clean source, methane garnered widespread attention for its development and utilization. This study employed both large-scale computational screening machine learning to investigate adsorption diffusion properties thousands metal–organic frameworks (MOFs) six gas binary mixtures CH4 (H2/CH4, N2/CH4, O2/CH4, CO2/CH4, H2S/CH4, He/CH4)...

10.3390/nano14131074 article EN cc-by Nanomaterials 2024-06-24

10.1007/s10589-006-6441-5 article EN Computational Optimization and Applications 2006-05-17

A new sensitive method for antimony (III) determination by graphite furnace atomic absorption spectrometry (GFAAS) has been developed using N-benzoyl-N-phenylhydroxylamine (BPHA) and 1-butyl-3-methylimidazolium hexafluorophosphate ([C 4 mim][PF 6 ]) single drop microextraction. The microextraction (SDMM) system is more competitive compared with other traditional extraction methods. Under the optimized conditions, limit of detection (signal-to-noise ratio 3) enrichment factor are 0.01 μ g·L...

10.1155/2018/8045324 article EN cc-by International Journal of Analytical Chemistry 2018-08-01

In this article, we develop a generalized proximal point algorithm for finding weak Pareto optimal solution of minimizing an extended vector-valued map with respect to the positive orthant in finite-dimensional spaces by virtue Bregman distance function.

10.1080/00036811.2010.483428 article EN Applicable Analysis 2011-01-26

10.1007/s10957-011-9958-4 article EN Journal of Optimization Theory and Applications 2011-12-03

Abstract Most traditional D 2 /H separation techniques are energy‐intensive with low efficiency. Metal–organic frameworks (MOFs) provide a promising solution for due to their excellent chemical and structural characteristics. Here, machine learning‐assisted high‐throughput computational screening was employed identify the high‐performance MOFs dynamic separation. Extensive data analysis reveals that there were two adsorption behaviors in optimal MOFs, independent competitive adsorption,...

10.1002/aic.18283 article EN AIChE Journal 2023-10-31

To decrease the consumption of energy and material resources caused by traditional "two-step" process for separating propylene from C3 crude components, including propane, propylene, methylacetylene propadiene, this work utilizes metal-organic frameworks (MOFs) involved "one-step" to purify propylene. First, relationship between geometric/energy descriptors MOFs their performance metrics was established through univariate analysis, results show that top-performance can be screened...

10.1016/j.giant.2023.100223 article EN cc-by-nc-nd Giant 2023-12-15

Stream-stream collision may be an important pre-peak energy dissipation mechanism in tidal disruption events (TDEs). We perform local three-dimensional radiation hydrodynamic simulations a wedge geometry including the gravity to study stream self-crossing, with emphasis on resolving and following subsequent outflow. find that can contribute optical emissions by converting $\gtrsim5\%$ of kinetic radiation, yielding prompt emission $\sim10^{42-44}\rm erg~s^{-1}$. The radiative efficiency is...

10.48550/arxiv.2303.17443 preprint EN cc-by arXiv (Cornell University) 2023-01-01

Abstract The reaction HO + SO → H 2 (R t ) and its reverse ‐t play an important role in environment the combustion of sulfur‐containing fuels. However, their kinetics is high uncertainty as profile complicated with multiple deep complexes channels. In this work, mechanisms R are studied comprehensively based on a newly developed full‐dimensional accurate potential energy surface (PES) aid machine learning. This highly PES interfaced software Gaussian. Then reliable information, including...

10.1002/kin.21645 article EN International Journal of Chemical Kinetics 2023-04-06

In this article, a nonlinear semidefinite program is reformulated into mathematical with matrix equality constraint and sequential quadratic penalty method proposed to solve the latter problem. We discuss differentiability convexity of function. Necessary sufficient conditions for convergence optimal values problems that original are obtained. The solutions also investigated. show any limit point sequence stationary points satisfies KKT optimality condition program. Smoothed have same order...

10.1080/02331930310001637404 article EN Optimization 2003-12-01

10.1007/s10957-012-9998-4 article EN Journal of Optimization Theory and Applications 2012-02-15

10.1007/s10957-013-0338-0 article EN Journal of Optimization Theory and Applications 2013-05-20
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