November 05, 2020 article Optimization of DEM parameters using multi-objective reinforcement learning Powder Technology DOI: 10.1016/j.powtec.2020.10.067 OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 36 References 2 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access A multivariate regression parametric study on DEM input parameters of free-flowing and cohesive powders with experimental data-based validation 2020 Computational Particle Mechanics article Engineering Granular flow and fluidized beds Open access 35 citations A Semi-Automated DEM Parameter Calibration Technique of Powders Based on Different Bulk Responses Extracted from Auger Dosing Experiments 2020 KONA Powder and Particle Journal article Engineering Granular flow and fluidized beds Open access 20 citations 2 results