1 |
Gaussian process regression with heteroscedastic noises - A machine-learning predictive variance approach Li ZX, Hong XD, Hao KR, Chen L, Huang B Chemical Engineering Research & Design, 157, 162, 2020 |
2 |
Reactor Concept for Contactless Kinetic Measurement in Oscillating Droplets via Raman Spectroscopy Klement T, Kockmann N, Roder T Chemie Ingenieur Technik, 91(5), 651, 2019 |
3 |
Continuous control of a polymerization system with deep reinforcement learning Ma Y, Zhu WB, Benton MG, Romagnoli J Journal of Process Control, 75, 40, 2019 |
4 |
Microstructural evaluation and study of shock wave as an energetic source for synthesis of nanomaterials Renald JT, Somasundaram P Polymer Bulletin, 76(9), 4841, 2019 |
5 |
Thermal hazard characteristic evaluation of two low-temperature-reactive azo compounds under adiabatic process conditions Cao CR, Liu SH Process Safety and Environmental Protection, 130, 231, 2019 |
6 |
A review on modeling and control of olefin polymerization in fluidized-bed reactors Abbasi MR, Shamiri A, Hussain MA Reviews in Chemical Engineering, 35(3), 311, 2019 |
7 |
Phosphonic acid-based membranes as proton conductors prepared by a pulsed plasma enhanced chemical vapor deposition technique Leoga AJK, Youssef L, Roualdes S, Rouessac V Thin Solid Films, 660, 506, 2018 |
8 |
Simulation and optimization of polymer molecular weight distribution with nonideal reactors Zhang C, Shao ZJ, Chen X, Xu CZ, Wang JJ, Feng LF Computers & Chemical Engineering, 106, 744, 2017 |
9 |
An Atmosphere-Switching Polymerization Process: A Novel Strategy to Advanced Polyolefin Materials Tian Z, Gu XP, Feng LF, Fan ZQ, Hu GH AIChE Journal, 59(12), 4468, 2013 |
10 |
A model for the structures of impact polypropylene copolymers produced by an atmosphere-switching polymerization process Tian Z, Gu XP, Feng LF, Hu GH Chemical Engineering Science, 101, 686, 2013 |