| 2123 - 2123 |
Population balance modelling of particulate systems
Hounslow MJ |
| 2125 - 2138 |
Particle size distribution by design
Hill PJ, Ng KM |
| 2139 - 2156 |
Population balance modeling of flame synthesis of titania nanoparticles
Tsantilis S, Kammler HK, Pratsinis SE |
| 2157 - 2168 |
A two-scale PBM for modeling turbulent flocculation in water treatment processes
Ducoste J |
| 2169 - 2181 |
Dynamics analysis of an age distribution model of oscillating yeast cultures
Zamamiri AM, Zhang YC, Henson MA, Hjortso MA |
| 2183 - 2191 |
Population balance modelling of granulation with a physically based coalescence kernel
Liu LX, Litster JD |
| 2193 - 2209 |
A moment methodology for coagulation and breakage problems: Part 1 - analytical solution of the steady-state population balance
Diemer RB, Olson JH |
| 2211 - 2228 |
A moment methodology for coagulation and breakage problems: Part 2 - Moment models and distribution reconstruction
Diemer RB, Olson JH |
| 2229 - 2239 |
Method of moments with interpolative closure
Frenklach M |
| 2241 - 2252 |
Solution of the population balance equation using constant-number Monte Carlo
Lin YL, Lee K, Matsoukas T |
| 2253 - 2264 |
Error estimation and control for the steady state population balance equation: 1. An a posteriori error estimate
Nicmanis M, Hounslow MJ |
| 2265 - 2278 |
A new set of population balance equations for microbial and cell cultures
Fredrickson AG, Mantzaris NV |
| 2279 - 2285 |
A population balance framework for nucleation, growth, and aggregation
McCoy BJ |
| 2287 - 2303 |
Population balances for particulate processes - a volume approach
Verkoeijen D, Pouw GA, Meesters GMH, Scarlett B |
| 2305 - 2322 |
Process simulation of gas-to-particle-synthesis via population balances: Investigation of three models
Muhlenweg H, Gutsch A, Schild A, Pratsinis SE |
