Ming Gao

ORCID: 0000-0001-8287-9298
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About
Contact & Profiles
Research Areas
  • Biofuel production and bioconversion
  • Microbial Metabolic Engineering and Bioproduction
  • Anaerobic Digestion and Biogas Production
  • Wastewater Treatment and Nitrogen Removal
  • Microbial Fuel Cells and Bioremediation
  • Biodiesel Production and Applications
  • Metallurgical Processes and Thermodynamics
  • Enzyme Catalysis and Immobilization
  • Catalysis for Biomass Conversion
  • Membrane Separation Technologies
  • Composting and Vermicomposting Techniques
  • Constructed Wetlands for Wastewater Treatment
  • Recycling and utilization of industrial and municipal waste in materials production
  • Food Waste Reduction and Sustainability
  • Electrochemical sensors and biosensors
  • biodegradable polymer synthesis and properties
  • Enzyme Production and Characterization
  • Advanced oxidation water treatment
  • Probiotics and Fermented Foods
  • Concrete and Cement Materials Research
  • Coal and Its By-products
  • Catalysis and Hydrodesulfurization Studies
  • Microbial Metabolites in Food Biotechnology
  • Fluid Dynamics Simulations and Interactions
  • Thermochemical Biomass Conversion Processes

University of Science and Technology Beijing
2016-2025

CAS Key Laboratory of Urban Pollutant Conversion
2015-2025

Research Institute of Forestry
2024

Chinese Academy of Forestry
2024

Jiangsu Provincial Academy of Environmental Science
2019-2024

Southeast University
2024

Tencent (China)
2021

Beijing Technology and Business University
2021

California University of Pennsylvania
2018-2019

Kyushu University
2012-2018

The Material Point Method (MPM) has been shown to facilitate effective simulations of physically complex and topologically challenging materials, with a wealth emerging applications in computational engineering visual computing. Borne out the extreme importance regularity, MPM is given attractive parallelization opportunities on high-performance modern multiprocessors. Parallelization that fully leverages computing resources presents challenges require exploring an extensive design-space for...

10.1145/3272127.3275044 article EN ACM Transactions on Graphics 2018-11-28

In this paper, we present a mixed explicit and semi-implicit Material Point Method for simulating particle-laden flows. We develop Multigrid Preconditioned fluid solver the Locally Averaged Navier Stokes equation. This is discretized purely on semi-staggered standard MPM grid. Sedimentation modeled with Drucker-Prager elastoplasticity flow rule, enhanced by novel particle density estimation method converting particles between representations of either continuum or discrete points. Fluid...

10.1145/3197517.3201309 article EN ACM Transactions on Graphics 2018-07-30

We present an adaptive Generalized Interpolation Material Point (GIMP) method for simulating elastoplastic materials. Our approach allows refining and coarsening of different regions the material, leading to efficient MPM solver that concentrates most computation resources in specific interest. propose a C 1 continuous basis function satisfies partition unity property remains non-negative throughout computational domain. develop practical strategy particle-grid transfers leverages recently...

10.1145/3130800.3130879 article EN ACM Transactions on Graphics 2017-11-20
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