no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
1 |
A Kriging-based approach for conjugating specific dynamic models into whole plant stationary simulations
|
Carpio, Roymel R. |
|
2018 |
119 |
C |
p. 190-194 |
article |
2 |
A mixed-integer conic programming formulation for computing the flexibility index under multivariate gaussian uncertainty
|
Pulsipher, Joshua L. |
|
2018 |
119 |
C |
p. 302-308 |
article |
3 |
A multi-objective robust optimization scheme for reducing optimization performance deterioration caused by fluctuation of decision parameters in chemical processes
|
Zhiqiang, Liao |
|
2018 |
119 |
C |
p. 1-12 |
article |
4 |
An improvement scheme for pressure-swing distillation with and without heat integration through an intermediate connection to achieve energy savings
|
Wang, Yinglong |
|
2018 |
119 |
C |
p. 439-449 |
article |
5 |
An optimization framework for scheduling of converter aisle operation in a nickel smelting plant
|
Ewaschuk, Christopher M. |
|
2018 |
119 |
C |
p. 195-214 |
article |
6 |
A parallel unidirectional coupled DEM-PBM model for the efficient simulation of computationally intensive particulate process systems
|
Sampat, Chaitanya |
|
2018 |
119 |
C |
p. 128-142 |
article |
7 |
ARES: An efficient approach to adaptive time integration for stiff Differential-Algebraic Equations
|
Leterrier, Nikos |
|
2018 |
119 |
C |
p. 46-54 |
article |
8 |
A steady-state analysis method for optimal operation of dividing-wall column
|
Luo, Junwen |
|
2018 |
119 |
C |
p. 112-127 |
article |
9 |
Benchmarking ADMM in nonconvex NLPs
|
Rodriguez, Jose S. |
|
2018 |
119 |
C |
p. 315-325 |
article |
10 |
Chromatographic studies of n-Propyl Propionate: Adsorption equilibrium, modelling and uncertainties determination
|
Nogueira, Idelfonso B.R. |
|
2018 |
119 |
C |
p. 371-382 |
article |
11 |
Data-driven identification of interpretable reduced-order models using sparse regression
|
Narasingam, Abhinav |
|
2018 |
119 |
C |
p. 101-111 |
article |
12 |
Development of a plant-wide Dimethyl Oxalate (DMO) synthesis process from syngas: Rigorous design and optimization
|
Yu, Bor-Yih |
|
2018 |
119 |
C |
p. 85-100 |
article |
13 |
Editorial Board
|
|
|
2018 |
119 |
C |
p. ii |
article |
14 |
Enhancing the performance of a solar-assisted adsorption chiller using advanced composite materials
|
Sinha, Saket |
|
2018 |
119 |
C |
p. 406-424 |
article |
15 |
Exo-parametric (“inside-out”) model of discounted cash flow calculations using NPV%: Macro calculation of coefficients for an exact, collapsed financial model
|
Mellichamp, Duncan A. |
|
2018 |
119 |
C |
p. 309-314 |
article |
16 |
Extended cross decomposition for mixed-integer linear programs with strong and weak linking constraints
|
Ogbe, Emmanuel |
|
2018 |
119 |
C |
p. 237-257 |
article |
17 |
Integration of the biorefinery concept for the development of sustainable processes for pulp and paper industry
|
Mongkhonsiri, Ghochapon |
|
2018 |
119 |
C |
p. 70-84 |
article |
18 |
LEAPS2: Learning based Evolutionary Assistive Paradigm for Surrogate Selection
|
Garud, Sushant S. |
|
2018 |
119 |
C |
p. 352-370 |
article |
19 |
Modeling and control of battery systems. Part II: A model predictive controller for optimal charging
|
Suresh, Resmi |
|
2018 |
119 |
C |
p. 326-335 |
article |
20 |
Modeling and control of battery systems. Part I: Revisiting Butler–Volmer equations to model non-linear coupling of various capacity fade mechanisms
|
Suresh, Resmi |
|
2018 |
119 |
C |
p. 336-351 |
article |
21 |
Multi-objective Bayesian optimization of chemical reactor design using computational fluid dynamics
|
Park, Seongeon |
|
2018 |
119 |
C |
p. 25-37 |
article |
22 |
Multi-objective optimisation for biopharmaceutical manufacturing under uncertainty
|
Liu, Songsong |
|
2018 |
119 |
C |
p. 383-393 |
article |
23 |
Numerical investigation of selective withdrawal in a pancreatic cell islet encapsulation apparatus
|
Dimitrioglou, Nikos G. |
|
2018 |
119 |
C |
p. 293-301 |
article |
24 |
On improving the hydrogen and methanol production using an auto-thermal double-membrane reactor: Model prediction and optimisation
|
Rahmanifard, Hamid |
|
2018 |
119 |
C |
p. 258-269 |
article |
25 |
Optimal Laypunov exponent parameters for stability analysis of batch reactors with Model Predictive Control
|
Kähm, Walter |
|
2018 |
119 |
C |
p. 270-292 |
article |
26 |
Optimal municipal solid waste energy recovery and management: A mathematical programming approach
|
Garibay-Rodriguez, Jaime |
|
2018 |
119 |
C |
p. 394-405 |
article |
27 |
Optimal operation of water distribution networks with intermediate storage facilities
|
Kurian, Varghese |
|
2018 |
119 |
C |
p. 215-227 |
article |
28 |
Optimization and control of a thin film growth process: A hybrid first principles/artificial neural network based multiscale modelling approach
|
Chaffart, Donovan |
|
2018 |
119 |
C |
p. 465-479 |
article |
29 |
Optimizing the inventorying and distribution of chemical fluids: An innovative nested column generation approach
|
Cóccola, Mariana E. |
|
2018 |
119 |
C |
p. 55-69 |
article |
30 |
Semi-batch industrial process of nitriles production: Dynamic simulation and validation
|
Brito, K.D. |
|
2018 |
119 |
C |
p. 38-45 |
article |
31 |
Side stream control in semicontinuous distillation
|
Madabhushi, Pranav Bhaswanth |
|
2018 |
119 |
C |
p. 450-464 |
article |
32 |
Simulation and optimization of dynamic flux balance analysis models using an interior point method reformulation
|
Scott, Felipe |
|
2018 |
119 |
C |
p. 152-170 |
article |
33 |
Solution of population balance equations by logarithmic shape preserving interpolation on finite elements
|
Costa, Liborio I. |
|
2018 |
119 |
C |
p. 13-24 |
article |
34 |
Strategic decision-making in the pharmaceutical industry: A unified decision-making framework
|
Marques, Catarina M. |
|
2018 |
119 |
C |
p. 171-189 |
article |
35 |
Supply-demand pinch based methodology for multi-period planning under uncertainty in components qualities with application to gasoline blend planning
|
Jalanko, Mahir |
|
2018 |
119 |
C |
p. 425-438 |
article |
36 |
Surrogate model generation using self-optimizing variables
|
Straus, Julian |
|
2018 |
119 |
C |
p. 143-151 |
article |
37 |
Utilizing big data for batch process modeling and control
|
Garg, Abhinav |
|
2018 |
119 |
C |
p. 228-236 |
article |