Work

Uncertainty quantification of fluidized beds using a data-driven framework

Year: 2019

Type: article

Source: Powder Technology

DOI: 10.1016/j.powtec.2019.06.021

Authors: V.M. Krushnarao Kotteda, J. Adam Stephens, William Spotz, Vinod Kumar, Anitha Kommu

Institutions: The University of Texas at El Paso, Sandia National Laboratories

Language: English

Topic: Probabilistic and Robust Engineering Design

Subfield: Computational Mechanics

Field: Engineering

Domain: Physical Sciences

Open Access status: bronze

Funders: National Science Foundation, U.S. Department of Energy, National Nuclear Security Administration, National Energy Technology Laboratory, Sandia National Laboratories

Awards: G11630931, G1554045874, HIGH FIDELITY COMPUTATIONAL MODEL FOR FLUIDIZED BED EXPERIMENTS, G2214935549, G2996522629, G413247060, G4771968897, G4903105778, G5339743583, G6338696783, XSEDE: eXtreme Science and Engineering Discovery Environment, G855168022

OpenAlex ID: W2955328320

FWCI: 0.813

Cites: 42

Cited by: 8

Related to: 10