Article
Engineering, Civil
A. Manuello Bertetto, G. C. Marano
Summary: In this paper, a fast numerical solution and a dimensionless approach are proposed for optimizing the design of arched structures. By selecting suitable shapes and degrees of lowering during the design phase, the volume of the structure can be minimized, and stress behavior can be analyzed using a dimensionless parameter. These methods can be used for different types of arched designs and in the pre-design phase.
ENGINEERING STRUCTURES
(2022)
Article
Operations Research & Management Science
Shuai Wang, Lu Wang, Xue Yang
Summary: In this paper, a numerical method is presented for finding synchronous solutions in coupled oscillator networks. The optimization method proposed by Feng et al. (2009) for finding periodic solutions is expanded to find synchronous solutions in networks. The optimization problem in coupled oscillator networks is shown to be a nonlinear least squares problem, and a corresponding Gauss-Newton method is proposed. Numerical simulations confirm the results.
JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS
(2023)
Article
Computer Science, Artificial Intelligence
Novriana Sumarti, Kuntjoro Adji Sidarto, Adhe Kania, Tiara Shofi Edriani, Yudi Aditya
Summary: In this paper, the Spiral Optimization Algorithm with Clustering (SOAC) method is proposed to find solutions to Diophantine equations in the form of polynomial, exponential, and also linear and nonlinear systems of equations. The method is able to find all solutions only in a single run and in a short period of time, and the results are consistent with the analytical or numerical solutions in the reference papers.
APPLIED SOFT COMPUTING
(2023)
Article
Multidisciplinary Sciences
Farideh Haghighi, Zahra Talebpour, Amir Sanati-Nezhad
Summary: The flow distributor located at the beginning of the micromachined pillar array column plays a significant role in achieving uniform flow distribution through separation channels for optimal separation efficiency. This study utilizes computational fluid dynamics to investigate the impact of various design parameters on the performance of flow distributors under different degrees of clogging. The results show that the design of the flow distributor, especially in response to clogging, significantly affects the stability and sensitivity to different clogging conditions.
SCIENTIFIC REPORTS
(2021)
Article
Optics
Nathan Z. Zhao, Shanhui Fan
Summary: This paper investigates the impact of choosing boundary conditions in the context of perfectly matched boundary layer methods and finds that it can effectively reduce fill-in during the factorization process, leading to improved efficiency.
Article
Materials Science, Multidisciplinary
Khalid K. Ali, M. S. Mehanna
Summary: This article introduces traveling wave solutions of the Gilson-Pickering equation using two simple methods and presents a numerical study of the equation using the finite difference method. It also includes an analysis of the local truncation error and stability of the difference scheme, with the accuracy of the results justified through illustrative tables and proper graphs.
RESULTS IN PHYSICS
(2021)
Article
Automation & Control Systems
Ryan R. Curtin, Marcus Edel, Rahul Ganesh Prabhu, Suryoday Basak, Zhihao Lou, Conrad Sanderson
Summary: The ensmallen library provides a flexible C++ framework for numerical optimization of various objective functions, supporting a diverse range of pre-built optimizers. It is easy to implement new optimizers with its underlying framework. Empirical comparisons show that ensmallen outperforms other frameworks in terms of performance and functionality.
JOURNAL OF MACHINE LEARNING RESEARCH
(2021)
Article
Engineering, Multidisciplinary
Khalid K. Ali, M. S. Mehanna
Summary: In this paper, analytical solutions for a significant nonlinear partial differential equation with variable coefficients were found using the Exp-function method and extended tanh method, while numerical solutions were also obtained through the finite difference method. The results highlighted the effectiveness of the methods used, and various types of solutions were obtained by adjusting constant parameters. Through comparison tables and graphs, the accuracy of the methods applied was demonstrated.
ALEXANDRIA ENGINEERING JOURNAL
(2021)
Article
Mathematics, Applied
Xiongyu Shao, Yimin Wei, Eric King-wah Chu
Summary: Inspired by the study of complex nonsymmetric algebraic Riccati equations, this paper investigates nonsymmetric algebraic Riccati equations for quaternionic matrices. The comparison matrix of a quaternionic matrix is introduced, extending that of a complex matrix, and is used to provide a condition for the existence and uniqueness of the extremal solution. The solution can be obtained by a fixed-point iteration.
JOURNAL OF APPLIED MATHEMATICS AND COMPUTING
(2023)
Article
Multidisciplinary Sciences
Cara Olivier, Bianca Allen, Laneke Luies
Summary: This study optimized a urine preparation procedure for non-targeted metabolomics using GC-MS. The direct analysis method showed superior repeatability and higher metabolome coverage compared to the organic acid methods. The findings contribute to the advancement of urine metabolomics research.
SCIENTIFIC REPORTS
(2023)
Article
Thermodynamics
Hadi Kargarsharifabad
Summary: This study optimized the arrangement of conducting fins and insulated obstacles in the cavity using numerical simulation and genetic algorithm-based optimization methods. The distance between the fins was found to have the highest effect on heat transfer, while the width of the insulated obstacles had the greatest impact on the heat transfer process.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2022)
Article
Computer Science, Information Systems
Zhenyu Meng, Yuxin Zhong, Guojun Mao, Yan Liang
Summary: In this paper, a new PSO variant is proposed to improve optimization performance by introducing a sorted particle swarm, novel adaptation schemes, and a fully-informed search scheme. Experimental results demonstrate the competitiveness of this algorithm with other state-of-the-art PSO variants on multiple test suites.
INFORMATION SCIENCES
(2022)
Article
Mathematics, Applied
Carla Jesus, Ercilia Sousa
Summary: Levy flights are generalized random walk processes with long-tailed alpha-stable jump length distribution. Numerical methods for α>1 have been widely discussed, but less attention has been paid to the case of 0<α<1. Numerical experiments highlight the advantages and disadvantages of different approaches in obtaining approximations of probability density functions.
NUMERICAL ALGORITHMS
(2021)
Article
Computer Science, Theory & Methods
Adam Kasperski, Pawel Zielinski
Summary: This paper discusses a class of uncertain optimization problems, where unknown parameters are modeled by fuzzy intervals. Known concepts of robustness and light robustness for traditional interval uncertainty representation can be generalized to optimize solutions against plausible parameter realizations under this possibilistic setting. Solutions can be efficiently computed for linear programming problems with fuzzy parameters, making them not much computationally harder than their deterministic counterparts.
FUZZY SETS AND SYSTEMS
(2021)
Article
Biochemical Research Methods
Juan J. Romero, Eleanor W. Jenkins, Joshua Osuofa, Scott M. Husson
Summary: We developed a computational framework that integrates commercial software components to perform customizable technoeconomic feasibility analyses. The framework was used to evaluate the performance of monoclonal antibody capture processes and compare different chromatography media and operating modes. The results showed tradeoffs between competing objectives, providing valuable insights for decision making.
JOURNAL OF CHROMATOGRAPHY A
(2023)
Article
Engineering, Chemical
Daniel Sebastia-Saez, Leonor Hernandez, Harvey Arellano-Garcia, Jose Enrique Julia
CHEMICAL ENGINEERING SCIENCE
(2019)
Article
Engineering, Chemical
Elham Ketabchi, Evgenia Mechleri, Harvey Arellano-Garcia
CHEMICAL ENGINEERING RESEARCH & DESIGN
(2019)
Article
Energy & Fuels
Daniel Sebastia-Saez, Tomas Ramirez Reina, Ravi Silva, Harvey Arellano-Garcia
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2020)
Article
Chemistry, Multidisciplinary
M. Gonzalez-Castano, J. C. Navarro de Miguel, F. Sinha, S. Ghomsi Wabo, O. Klepel, H. Arellano-Garcia
Summary: This study analyzes the catalytic activity of Cu/SiO2, Cu-Fe/SiO2, and Cu/FSN catalysts in the Reverse Water Gas Shift reaction. It was found that the Fe-SiO2 nanocomposites showed remarkable catalytic enhancements under different reaction atmospheres, attributed to enhanced catalyst surface basicity and stronger Cu-support interactions. The catalytic promotion achieved by Fe-SiO2 nanocomposites presents an optimistic outlook for future CO2-valorising technologies.
JOURNAL OF CO2 UTILIZATION
(2021)
Article
Chemistry, Multidisciplinary
Francisco M. Baena-Moreno, Miriam Gonzalez-Castano, Juan Carlos Navarro de Miguel, Kamal U. M. Miah, Ralf Ossenbrink, Jose Antonio Odriozola, Harvey Arellano-Garcia
Summary: The study evaluates the influence of metal substrate geometry on the CO2 methanation reaction, showing the advantages of 3D complex geometries over traditional honeycomb structures, leading to a potential 14% improvement in CO2 conversion under various conditions.
ACS SUSTAINABLE CHEMISTRY & ENGINEERING
(2021)
Article
Environmental Sciences
M. Gonzalez-Castano, M. Hani Kour, J. Gonzalez-Arias, Francisco M. Baena-Moreno, H. Arellano-Garcia
Summary: This study analyzed the profitability of a potential biomethane production plant in the Brandenburg region of Germany, revealing a negative overall net present value without governmental investment. Subsidies are needed for profitability, with factors like investment and waste utilization percentage playing crucial roles in economic viability.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Chemistry, Multidisciplinary
Miriam Gonzalez-Castano, Judith Gonzalez-Arias, Marta Elena Sanchez, Jorge Cara-Jimenez, Harvey Arellano-Garcia
Summary: By employing a series of Cu-MnOx supported catalysts, this study investigates the impact on the RWGS reaction rate under simulated residual CO2-rich feed streams, with Cu metal dispersion appearing to be a key factor governing the CO2 conversion rate.
JOURNAL OF CO2 UTILIZATION
(2021)
Article
Energy & Fuels
Pilar Tarifa, Tomas Ramirez Reina, Miriam Gonzalez-Castano, Harvey Arellano-Garcia
Summary: In this study, the catalytic upgrading of surrogate biomass gasifiers through the generation of syngas was investigated. By introducing an appropriate amount of Ni, the CO content was increased and carbon deposition was reduced. The results suggest that the biomass gasification mixture can be efficiently upgraded using the catalyst under suitable conditions.
Article
Materials Science, Multidisciplinary
M. Safdar, M. Gonzalez-Castano, A. Penkova, M. A. Centeno, J. A. Odriozola, H. Arellano-Garcia
Summary: This study investigates the impact of Ni-supported YMn1-xAlxO3 catalysts on the CO2 methanation reaction. The results show the importance of the support nature and the improvement in redox behavior achieved through Al-incorporation.
APPLIED MATERIALS TODAY
(2022)
Article
Energy & Fuels
M. Gonzalez-Castano, J. Gonzalez-Arias, L. F. Bobadilla, E. Ruiz-Lopez, J. A. Odriozola, H. Arellano-Garcia
Summary: Promoting catalytic performance by incorporating alkali has been effective for several reactions, but controversial outcomes have been reported for synthetic natural gas production. This study examines Ni catalysts for CO2 and CO methanation reactions. In-situ DRIFTS spectroscopy reveals similar reaction intermediates for all evaluated systems, suggesting a reaction mechanism involving formate decomposition and hydrogenation of linear carbonyl species. The enhanced CO2 methanation rates of NiFe/Al and NiFeK/Al systems are attributed to promoted formate decomposition, while differences in catalyst performance for CO methanation are associated with the concentration of linear carbonyl species. Interestingly, the incorporation of K in the NiFeK/Al system worsens CO methanation rates.
Article
Green & Sustainable Science & Technology
Ishanki A. De Mel, Panagiotis Demis, Bogdan Dorneanu, Oleksiy V. Klymenko, Evgenia D. Mechleri, Harvey Arellano-Garcia
Summary: Distributed Energy Systems (DES) is crucial for reducing carbon emissions and increasing renewable energy generation as the energy sector undergoes unprecedented changes. However, existing operational DES models fail to consider the impact of uncertain inputs on outputs, leading to poor planning and performance. This paper presents a methodology to analyze the effects of uncertain inputs on the total daily cost of a DES operational model. Global Sensitivity Analysis (GSA) is used to evaluate the effects of individual inputs and their interactions on output variability. The study shows significant cost reductions compared to traditional designs, although the carbon emission savings are relatively smaller.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2023)
Review
Biochemistry & Molecular Biology
Noman Sohail, Ramona Riedel, Bogdan Dorneanu, Harvey Arellano-Garcia
Summary: The membrane bioreactor (MBR) has been a highly efficient technology for treating municipal and industrial wastewater over the past two decades. It offers a single-stage process with smaller space requirements and higher removal efficiency of organic compounds compared to conventional activated sludge processes. However, membrane biofouling remains a major drawback, leading to reduced membrane lifespan and increased operational costs. This review explores anti-biofouling techniques, including quorum quenching and model-based approaches.
Article
Engineering, Chemical
Vasileios K. Mappas, Vassilios S. Vassiliadis, Bogdan Dorneanu, Alexander F. Routh, Harvey Arellano-Garcia
Summary: This work introduces a novel approach for the control loop selection problem based on multistage optimal control formulation. Existing approaches for controller loop design have focused on input-output variable pairings and cannot incorporate path and end-point constraints. The proposed approach overcomes these limitations by providing an automated solution for control loop design that considers both optimal loops and their tuning. Case studies demonstrate improved performance compared to standard methods, and the approach is extended to include path and end-point constraints, which are challenging for classical methods.
CHEMICAL ENGINEERING RESEARCH & DESIGN
(2023)
Article
Energy & Fuels
Tim Sidnell, Fiona Clarke, Bogdan Dorneanu, Evgenia Mechleri, Harvey Arellano-Garcia
Summary: This study presents a mixed-integer linear programming (MILP) model for residential distributed energy systems, showing their advantages in reducing carbon emissions and improving economic efficiency. The superstructure optimization model with novel elements demonstrates the potential of DER networks to be more cost-effective and environmentally friendly compared to traditional energy consumption.
Review
Chemistry, Multidisciplinary
Miriam Gonzalez-Castano, Bogdan Dorneanu, Harvey Arellano-Garcia
Summary: The catalytic reduction of CO2 into value-added products is a significant solution for mitigating global warming and energy crises, with the RWGS reaction playing a key role. Despite various efforts, there is still a lack of understanding of the fundamental phenomena in the process.
REACTION CHEMISTRY & ENGINEERING
(2021)
