Article
Chemistry, Inorganic & Nuclear
Ali Moustafa Khalil, Chendong Xu, Vincent Delmas, Guillaume Calvez, Karine Costuas, Mohamed Haouas, Christophe Lescop
Summary: Coordination-driven supramolecular syntheses between flexible precursor A and pseudo-halide ions resulted in the selective formation of discrete Cu-8 assembly D and one-dimensional coordination polymer E. Subsequent reactions with M'(II) salts led to the self-dissociation and reorganization processes, yielding new discrete Cu-8 assemblies. The solid-state luminescence properties of these derivatives showed D as a moderate room temperature luminophore, while E, F-Zn, and F-Cd exhibited weak luminescence at low temperature.
INORGANIC CHEMISTRY FRONTIERS
(2021)
Article
Engineering, Manufacturing
Junyuan Zhang, Shihang Wang, Hao Zhou, Chang Shu
Summary: This paper presents a design method for manufacturable casting parts based on topology optimization. The proposed method aims to improve manufacturability and structural performance of castings. Several numerical examples are conducted to verify the effectiveness of the method, highlighting the significant impact of MABB area constraint and component number on the optimized structure.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE
(2022)
Article
Engineering, Multidisciplinary
Xiaopeng Li, Liang Gao, Ying Zhou, Hao Li
Summary: The proposed hybrid level set method simultaneously optimizes supporting structure and embedded component positions and orientations. It represents components and supporting structure using explicit and implicit level sets, allowing for smooth geometries and clear interfaces. By using two sets of design variables in a unified optimization loop, the overall design variables are greatly reduced.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING
(2021)
Article
Geosciences, Multidisciplinary
Mark W. Grodner, Stuart M. Clarke, Stuart D. Burley, A. Graham Leslie, Richard Haslam
Summary: Fractures in limestones of the Palaeocene Lockhart Formation in the Himalayas were analysed using topology and fractal dimension. The study found that fore-thrusts, pop-ups, and back-thrusts could be distinguished when both methods were combined. Fore- and back-thrusts had higher fractal dimensions, while pop-up structures had lower fracture intensity. The combined analysis showed that fracture patterns were predictable when related to different structural settings within the Lockhart Formation.
JOURNAL OF STRUCTURAL GEOLOGY
(2021)
Article
Computer Science, Interdisciplinary Applications
Lior Aharoni, Ido Bachelet, Josephine Carstensen
Summary: This paper introduces a new density-based topology optimization algorithm for designing constructible rigid interlocking assemblies with multiple components, ensuring blocking of rigid body motion and sufficient assemblability. The structural performance is simplified into a set of static load cases to estimate intercomponent interactions. The framework is demonstrated on design examples with two and four components, achieving interlocking, constructible assemblies with crisp interface boundaries and interaction loads along the component interfaces.
COMPUTERS & STRUCTURES
(2021)
Article
Engineering, Chemical
Yang Li, Zhongting Liu, Lei Li, Wenlei He, Zhaoyang Hou, Wanhua Zhao, Wenwu Wu
Summary: In order to improve the heat dissipation of the spindle, a thermal conductivity path was designed based on the topology optimization method. By constructing a heat conductive path in the bearing housing and spindle housing, using high thermal conductivity material, the temperature of the spindle was successfully reduced.
Article
Engineering, Multidisciplinary
Yongsheng Han, Bin Xu, Zunyi Duan, Xiaodong Huang
Summary: This paper proposes a new methodology for structural topology optimization that takes into account non-linear continuum damage for stress minimization design. A quasi-static non-local damage model is integrated into a linear finite element analysis to model the structural damage, and the Bi-directional Evolutionary Structural Optimization (BESO) method is used to address singularity issues. The effectiveness of the proposed method is demonstrated through numerical tests and comparison with stiffness maximization design.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2022)
Review
Chemistry, Multidisciplinary
Lukasz Polewski, Andreas Springer, Kevin Pagel, Christoph A. Schalley
Summary: Ion mobility spectrometry and gas-phase IR action spectroscopy are two popular structure-sensitive mass-spectrometric methods for investigating supramolecular assemblies. These methods can distinguish isomers, reveal subtle structural details, and study amino acid complexes and peptide assemblies.
ACCOUNTS OF CHEMICAL RESEARCH
(2021)
Review
Biochemistry & Molecular Biology
Marie-Laure Fogeron, Lauriane Lecoq, Laura Cole, Matthias Harbers, Anja Bockmann
Summary: CFPS systems are versatile tools for basic research and product development, with WG-CFPS offering high yields for synthesizing complex eukaryotic proteins. The separation of translation reactions from cellular processes provides flexibility to adapt to protein needs. These systems have the potential to become widely used tools for recombinantly preparing challenging eukaryotic proteins.
FRONTIERS IN MOLECULAR BIOSCIENCES
(2021)
Article
Chemistry, Multidisciplinary
Yue Lu, Juanjuan Gao, Yangge Ren, Yi Ding, Lin Jia
Summary: A synergetic self-assembly strategy is proposed to prepare organic-organic hybrid colloidal mesostructures by blending a liquid crystalline block copolymer (LC-BCP) with small molecular amphiphiles. The strategy enables the formation of 1D nanofibers with a periodic striped structure and the generation of hexagonal pore arrays on vesicle surfaces. LC ordering effect of LC-BCP can be regulated by selecting appropriate solvents.
Article
Mechanics
E. L. Zhou, Yi Wu, X. Y. Lin, Q. Q. Li, Y. Xiang
Summary: The article proposes a normalization-based BESO (NBESO) method for topology optimization to address numerical difficulties in high-frequency excitation cases. By employing a normalization strategy, NBESO efficiently unifies the magnitude of sensitivities to avoid numerical instabilities caused by nonlinearity. The effectiveness of NBESO in multi-frequency response suppression is demonstrated through numerical examples involving both frequency ranges below and above the eigenfrequency.
Article
Computer Science, Interdisciplinary Applications
Grzegorz Dzierzanowski, Radoslaw Czubacki
Summary: The theory of archgrids of minimal weight, formulated in the late 1970s, has been reconsidered using duality theory in the calculus of variations. In this study, an efficient computational scheme is proposed, decomposing trial functions for both primal and dual problems into trigonometric and polynomial function bases. The numerical algorithm is shown to be quickly convergent, CPU time efficient, and robust, providing clear-cut solutions for optimal parts of a structure.
COMPUTERS & STRUCTURES
(2021)
Article
Multidisciplinary Sciences
Albert K. Liu, Jose H. Pereira, Alexander J. Kehl, Daniel J. Rosenberg, Douglas J. Orr, Simon K. S. Chu, Douglas M. Banda, Michal Hammel, Paul D. Adams, Justin B. Siegel, Patrick M. Shih
Summary: Oligomerization is a core structural feature of many proteins, but there is a lack of diversity-driven structural studies on the evolutionary trajectory of these assemblies. This study reveals the evolutionary history of RuBisCOs and discovers a new tetrameric RuBisCO, demonstrating how structural plasticity gives rise to new oligomeric states.
Article
Chemistry, Organic
Ravindra Sundaresan, Shivam Kumar Dubey, Ramesh Kataria, Ganesh Chandra Nandi
Summary: An efficient, mild, and novel route for synthesizing sulfonylurea via nickel-catalyzed tandem coupling of sulfonyl azide, isocyanide, and water in aqueous media is presented. Sulfonyl azide acts as a nitrene precursor, reacting with isocyanide to generate carbodiimide. Water then acts as a nucleophile, reacting with carbodiimide to yield the product. The protocol utilizes an inexpensive nickel catalyst, environmentally friendly water (as the nucleophile), and operates at room temperature, providing moderate to good yields.
JOURNAL OF ORGANIC CHEMISTRY
(2023)
Article
Chemistry, Multidisciplinary
Francesca Brunelli, Silvio Aprile, Camilla Russo, Mariateresa Giustiniano, Gian Cesare Tron
Summary: An environmentally friendly method for the preparation of aliphatic isocyanides under anhydrous conditions using micellar systems at room temperature is reported. The substitution of undesirable components in the traditional reaction makes this transformation more sustainable and safe.
Review
Computer Science, Interdisciplinary Applications
Ali Riza Yildiz, Hammoudi Abderazek, Seyedali Mirjalili
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
(2020)
Article
Computer Science, Artificial Intelligence
Hammoudi Abderazek, Ali Riza Yildiz, Seyedali Mirjalili
KNOWLEDGE-BASED SYSTEMS
(2020)
Article
Materials Science, Characterization & Testing
Betul Sultan Yildiz, Ali Riza Yildiz, Nantiwat Pholdee, Sujin Bureerat, Sadiq M. Sait, Vivek Patel
Article
Materials Science, Characterization & Testing
Dies Kurtulus, Ali Riza Yildiz, Sadiq M. Sait, Sujin Bureerat, Khon Kaen
Review
Computer Science, Interdisciplinary Applications
Zeng Meng, Gang Li, Xuan Wang, Sadiq M. Sait, Ali Riza Yildiz
Summary: Reliability-based design optimization (RBDO) is an excellent method for balancing economy and safety, but challenges such as global convergence capacity and complex design variables hinder its wider application. This study focuses on applying metaheuristic algorithms to RBDO for improved global convergence, robustness, accuracy, and computational speed, highlighting the differences between metaheuristic and gradient algorithms.
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
(2021)
Article
Materials Science, Characterization & Testing
Betul Sultan Yildiz, Ali Riza Yildiz, Emre Isa Albak, Hammoudi Abderazek, Sadiq M. Sait, Sujin Bureerat
Article
Computer Science, Artificial Intelligence
Betul Sultan Yildiz, Nantiwat Pholdee, Sujin Bureerat, Ali Riza Yildiz, Sadiq M. Sait
Summary: The study focuses on the design of a robot gripper mechanism and proposes a new optimization method based on the grasshopper optimization algorithm and Nelder-Mead algorithm. By solving real-world engineering problems, the advantages of HGOANM are demonstrated.
Article
Engineering, Mechanical
Emre Isa Albak, Erol Solmaz, Ali Riza Yildiz, Ferruh Ozturk
Summary: Inspired by the mechanical properties of graphene, the study focused on the design of graphene type multi-cell tubes. The best model, GTMT5, was determined using COPRAS and multiobjective optimization methods, showing that circular structures in multi-cell tubes have a significant impact on crashworthiness performance.
JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING
(2021)
Correction
Engineering, Mechanical
Emre Isa Albak, Erol Solmaz, Ali Riza Yildiz, Ferruh Ozturk
JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING
(2021)
Article
Mathematical & Computational Biology
Yodsadej Kanokmedhakul, Natee Panagant, Sujin Bureerat, Nantiwat Pholdee, Ali R. Yildiz
Summary: This study introduces a self-adaptive teaching-learning-based optimization algorithm for aircraft parameter estimation, which is shown to have good search performance through numerical validation and experimental results, making it a baseline for aircraft parameter estimation.
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE
(2021)
Article
Computer Science, Artificial Intelligence
Betul Sultan Yildiz, Sumit Kumar, Nantiwat Pholdee, Sujin Bureerat, Sadiq M. Sait, Ali Riza Yildiz
Summary: This paper proposes a new metaheuristic algorithm called Chaotic Levy flight distribution (CLFD) algorithm, which is aimed at solving engineering optimization problems in the physical world. The results of the study show that CLFD algorithm has advantages in solving optimization problems and can effectively find optimal solutions.
Article
Materials Science, Characterization & Testing
Ahmet Can Gunaydin, Ali Riza Yildiz, Necmettin Kaya
Summary: In this study, a multi-objective optimization is conducted using non-dominated sorting genetic algorithm-II to optimize the build orientation for three-dimensional parts in additive manufacturing. Estimation methods are developed to compute the amount of support structure and build time, and the optimized results are visualized and evaluated for complex parts. The automation of the preprocessing stage eliminates the need for design knowledge, contributing to the reduction of support structure volume and build time in additive manufacturing.
Article
Materials Science, Characterization & Testing
Betul Sultan Yildiz, Pranav Mehta, Sadiq M. Sait, Natee Panagant, Sumit Kumar, Ali Riza Yildiz
Summary: The article introduces a novel hybrid metaheuristic algorithm, HAHA-SA, based on the artificial hummingbird algorithm and simulated annealing problem, which shows dominance in efficiently solving complex multi-constrained design optimization problems.
Article
Engineering, Multidisciplinary
Bansi D. Raja, Vivek K. Patel, Ali Riza Yildiz, Prakash Kotecha
Summary: This paper compares the performance of scientific law-inspired optimization algorithms for real-life constrained optimization applications. The algorithms are evaluated using a constrained engineering application of the Stirling heat engine system. The effects of constraint handling methods and output constraints on algorithm performance are analyzed and presented.
ENGINEERING OPTIMIZATION
(2023)
Article
Computer Science, Artificial Intelligence
Sumit Kumar, Betul Sultan Yildiz, Pranav Mehta, Natee Panagant, Sadiq M. Sait, Seyedali Mirjalili, Ali Riza Yildiz
Summary: A novel metaheuristic algorithm called Chaotic Marine Predators Algorithm (CMPA) is proposed for engineering problem optimization, which integrates the exploration merits of MPA and the exploitation capabilities of chaotic maps. The proposed algorithm is applied to decode complex design and manufacturing problems and its performance is evaluated on CEC 2020 numerical problems and constrained design problems. Additionally, case studies and statistical analysis are conducted to compare CMPA with other algorithms, showing its significantly improved performance.
KNOWLEDGE-BASED SYSTEMS
(2023)
