Min Ao

ORCID: 0000-0002-0389-4615
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About
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Research Areas
  • Aluminum Alloy Microstructure Properties
  • Catalytic Processes in Materials Science
  • Catalysts for Methane Reforming
  • Aluminum Alloys Composites Properties
  • Microstructure and mechanical properties
  • Catalysis and Oxidation Reactions
  • Metal-Organic Frameworks: Synthesis and Applications
  • Electrocatalysts for Energy Conversion
  • Hydrogen embrittlement and corrosion behaviors in metals
  • Advanced Welding Techniques Analysis
  • Lung Cancer Diagnosis and Treatment
  • Corrosion Behavior and Inhibition
  • Radiomics and Machine Learning in Medical Imaging
  • Additive Manufacturing Materials and Processes
  • Vestibular and auditory disorders
  • Hearing, Cochlea, Tinnitus, Genetics
  • Welding Techniques and Residual Stresses
  • Catalysis and Hydrodesulfurization Studies
  • Agricultural risk and resilience
  • COVID-19 Pandemic Impacts
  • Process Optimization and Integration
  • Catalysis for Biomass Conversion
  • Machine Learning in Materials Science
  • Metal and Thin Film Mechanics
  • Hearing Loss and Rehabilitation

The Affiliated Yongchuan Hospital of Chongqing Medical University
2023-2025

Chongqing Medical University
2022-2025

University of Science and Technology Beijing
2019-2024

Huazhong Agricultural University
2024

Inner Mongolia University of Technology
2019-2022

Woodside (Australia)
2021-2022

Curtin University
2016-2021

Australian Resources Research Centre
2016-2017

Commonwealth Scientific and Industrial Research Organisation
2016-2017

Tianjin University
2012

High-throughput and low-cost quantification of the nutrient content in crop grains is crucial for food processing nutritional research. However, traditional methods are time-consuming destructive. A high-throughput method wheat nutrients with VIS-NIR (400-1700 nm) hyperspectral imaging proposed this study. Stepwise linear regression (SLR) was used to predict hundreds accurately (R

10.1016/j.foodchem.2024.140651 article EN cc-by-nc Food Chemistry 2024-07-29

Abstract Corrosion jeopardizes the materials longevity and engineering safety, hence corrosion rate needs to be forecasted so as better guide selection. Although field exposure experiments are dependable, prohibitive cost their time-consuming nature make it difficult obtain large dataset for machine learning. Here, we propose a strategy Integrating Ab-initio Calculations with Random Forest (IACRF) optimize model, thereby estimating of Al alloys in diverse environments. Based on thermodynamic...

10.1038/s41529-022-00295-5 article EN cc-by npj Materials Degradation 2022-10-07

ABSTRACT Given that more than 20% of patients with cT1 solid NSCLC showed nodal or extrathoracic metastasis, early detection metastasis is crucial and urgent for improving therapeutic planning patients' risk stratification in clinical practice. This study collected clinicopathological variables from the pulmonary nodule lung cancer database First Affiliated Hospital Chongqing Medical University, where early‐stage (cT1) solitary were evaluated 2018.11 to 2022.10. The random forest model...

10.1111/cts.70186 article EN cc-by-nc Clinical and Translational Science 2025-03-26

Direct conversion of syngas to dimethyl ether (DME) through the intermediate methanol allows more efficient DME production in a simpler reactor design relative conventional indirect route. Although Cu/ZnO-based multicomponent catalysts are highly active for synthesis this process, sintering issue Cu during prolonged reaction generally deteriorates their performance. In work, Cu/ZnO novel octahedron structure prepared by two-step pyrolysis Zn-doped Cu-BTC metal-organic framework (MOF) N2 and...

10.1002/smll.201906276 article EN Small 2020-03-04

A low CO2 emission process for methanol production using syngas generated by combined H2O and reforming with CH4 (bi-reforming) is proposed in this work. detailed model was developed Aspen Plus. The operating conditions of the bi-reforming synthesis were derived from a sensitivity analysis plug flow reactor models Langmuir–Hinshelwood–Hougen–Watson (LHHW) kinetics. molar feed ratio CH4:CO2:H2O 1:1:2, instead conventional 3:1:2 found to be optimum resulted ∼99% conversion CH4, 44% CO2, H2/CO...

10.1021/acs.energyfuels.1c00227 article EN Energy & Fuels 2021-04-29

The acoustic stimulation influences of the brain is still unveiled, especially from network point, which can reveal how interaction propagated and integrated between different zones for chronic tinnitus patients. We specifically designed a paradigm to record electroencephalograms (EEGs) patients when they were treated with consecutive neuromodulation therapy up 75 days, using handicap inventory (THI) evaluate severity or treatment efficacy, EEG activities every 2 weeks. Then, we used an...

10.1109/tnsre.2020.3039555 article EN cc-by IEEE Transactions on Neural Systems and Rehabilitation Engineering 2020-11-20

In the clinic, it is difficult to distinguish malignancy and aggressiveness of solid pulmonary nodules (PNs). Incorrect assessments may lead delayed diagnosis an increased risk complications. We developed validated a deep learning-based model for prediction as well local or distant metastasis in PNs based on CT images primary lesions during initial diagnosis. this study, we reviewed data from multiple patients with at our institution 1 January 2019 30 April 2022. The were divided into three...

10.3389/fmed.2023.1145846 article EN cc-by Frontiers in Medicine 2023-05-19

In this work, an optimized process for methanol production using syngas from bi-reforming is proposed. The feed ratio (CH4/CO2/H2O) in the step, purge stream quantity, and heat recovery were with overall objective to reduce direct indirect CO2 emission process. effect of on rates simultaneous reactions involved (i.e., DR, SMR, WGS) was investigated understand balance between consumption relative CH4. Compared conventionally used 3:1:2, study found that 1:1:2 resulted 100% CH4 conversion...

10.1021/acs.iecr.1c04904 article EN Industrial & Engineering Chemistry Research 2022-04-14
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