Fabrication strategies for chiral self-assembly surface
X Niu, M Yuan, R Zhao, L Wang, Y Liu, H Zhao, H Li… - Microchimica Acta, 2024 - Springer
Chiral self-assembly is the spontaneous organization of individual building blocks from
chiral (bio) molecules to macroscopic objects into ordered superstructures. Chiral self …
chiral (bio) molecules to macroscopic objects into ordered superstructures. Chiral self …
Computing subgradients of convex relaxations for solutions of parametric ordinary differential equations
A novel subgradient evaluation method is proposed for nonsmooth convex relaxations of
parametric solutions of ordinary differential equations (ODEs) arising in global dynamic …
parametric solutions of ordinary differential equations (ODEs) arising in global dynamic …
Evaluating subgradients for convex relaxations of dynamic process models by adapting current tools
Global dynamic optimization problems are often represented as nonlinear optimization
problems with embedded parametric ordinary differential equations. Deterministic methods …
problems with embedded parametric ordinary differential equations. Deterministic methods …
[HTML][HTML] Automatic differentiation rules for Tsoukalas–Mitsos convex relaxations in global process optimization
Y Yuan, KA Khan - Digital Chemical Engineering, 2023 - Elsevier
With increasing digitalization and vertical integration of chemical process systems,
nonconvex optimization problems often emerge in chemical engineering applications, yet …
nonconvex optimization problems often emerge in chemical engineering applications, yet …
[PDF][PDF] Implementing adjoint subgradient evaluation for use in global dynamic optimization
Global dynamic optimization problems emerge in several engineering applications, such as
global optimal control, parameter estimation, and safety verification. Such problems are …
global optimal control, parameter estimation, and safety verification. Such problems are …
Data‐driven approximation of thermodynamic phase equilibria
We present a new data‐driven approach for both accurate and computationally efficient
approximation of vapor liquid equilibria (VLE) models. Our method is able to provide …
approximation of vapor liquid equilibria (VLE) models. Our method is able to provide …
Automatic source code generation for deterministic global optimization with parallel architectures
RX Gottlieb, P Xu, MD Stuber - Optimization Methods and Software, 2024 - Taylor & Francis
Trends over the past two decades indicate that much of the performance gains of
commercial optimization solvers is due to improvements in x86 hardware. To continue …
commercial optimization solvers is due to improvements in x86 hardware. To continue …
Modification and improved implementation of the RPD method for computing state relaxations for global dynamic optimization
J Ye, JK Scott - Journal of Global Optimization, 2024 - Springer
This paper presents an improved method for computing convex and concave relaxations of
the parametric solutions of ordinary differential equations (ODEs). These are called state …
the parametric solutions of ordinary differential equations (ODEs). These are called state …
General convex relaxations of implicit functions and inverse functions
Convex relaxations of nonconvex functions provide useful bounding information in
applications such as deterministic global optimization and reachability analysis. In some …
applications such as deterministic global optimization and reachability analysis. In some …
Applying Sampling-Based Convex Relaxations to Dynamic Process Models
HC Chui, KA Khan - IFAC-PapersOnLine, 2024 - Elsevier
Convex relaxations are a crucial tool in methods for global optimization, but are challenging
to construct for dynamic processes. In this article, we investigate combining two recent …
to construct for dynamic processes. In this article, we investigate combining two recent …