Results 51 to 60 of about 5,505 (195)

SOFTWARE ENVIRONMENT FOR IDENTIFICATION OF NONLINEAR MATHEMATICAL MODELS USING OPTIMIZATION PROCEDURES

Електроніка та інформаційні технології
Background. For an adequate description of complex systems, it is necessary to use significantly nonlinear mathematical models. An effective approach to the identification of such models is the use of optimization procedures based on various optimization
Bohdan Melnyk
doaj   +1 more source

Solids Conveying in Injection Molding Machines—Analytical Model for Smooth and Grooved Feed Sections Derived From DEM Simulations

Polymer Engineering &Science, EarlyView.
Understanding Solids Conveying in Injection Molding Machines – Dimensions. ABSTRACT Solids conveying is a key aspect for the design of polymer processing machines, especially for processes with high screw speeds, grooved feed sections, and material with low bulk density.
Jan Landgraeber, Volker Schoeppner, Dennis Kleinschmidt, Dominik Jonek, Nils Grieger   +4 more
wiley   +1 more source

Hexapod Locomotion Across Structured and Unstructured Terrains: A Data‐Driven Review of Modeling, Control, and Validation

Journal of Field Robotics, EarlyView.
ABSTRACT The design of a hexapod is complex and requires integration between kinematic models, control systems, and sensing. Existing literature has reviewed these sub‐systems in isolation. Since 2021, there has been no review of the field despite significant advancements in soft soil, lunar traversal, and artificial intelligence.
Akhil Rampersad, Bashan Naidoo
wiley   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

Responsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen, Siwei Yang, Xiangqian Cui, Ziheng Liu, Hang Wang, Yongqiang Li, Peng He, Miao Wang, Guqiao Ding   +8 more
wiley   +1 more source

Key Technical Fields and Future Outlooks of Space Manipulators: A Survey

SmartBot, EarlyView.
This paper systematically reviews the technological development of space manipulators, emphasizing the unique challenges posed by space environments. It examines four areas: structural design, modeling, planning, and control, while introducing typical ground test platforms.
Gang Chen, Zeyuan Huang, Ying Yan, Xiaokang An, Zhikai Zhao, Jirong Lin, Xiangrong Zhao, Xianyuan Gao, Junyi Zong, Xuewen Jia, Zhipeng Yao, Jianliang Liao, Ning Ji   +12 more
wiley   +1 more source

Material‐Dependent Functionalization of CVD‐Grown TMDC Monolayers Probed by Vibrational Nanospectroscopy

Small, EarlyView.
PiFM‐led investigation of material‐specific electrochemical aryl diazonium reduction on 2D transition metal dichalcogenide MoSe2‐WSe2 lateral heterostructure monolayers, with mechanisms explained by molecular dynamics simulations. ABSTRACT Understanding the molecular‐level mechanisms governing covalent functionalization of two‐dimensional ...
Maziar Jafari, Amir Khojastehnezhad, Seyed Faridedin Rafie, Andrey Krayev, Nidal Abu‐Zahra, Mohamed Siaj   +5 more
wiley   +1 more source

Artificial intelligence empowers targeted protein degradation: Core technological innovations, multi‐scenario applications, and translational prospects

Smart Molecules, EarlyView.
AI is transforming TPD by improving the design, prediction, and optimization of degraders such as PROTACs, molecular glues, and LYTACs. This review summarizes key AI‐driven advances, highlights applications across drug discovery stages, and discusses remaining challenges and future directions for accelerating the development of therapies against ...
Shuanglin Qin, Rui Peng, Guangshuai Zhang, Si Yan, Jin Xiao, Zishu Liu, Ziyu Tan, Qingqing Xie, Shangjie Li, Wei Luo, Xiaohe Xiao   +10 more
wiley   +1 more source

A Novel Approach to Energy Management in Electric Steelworks

steel research international, EarlyView.
Feed‐forward neural networks are exploited to estimate electric energy consumptions of the electric arc furnace and ladle furnace processes. The models are used to optimize production schedule so that more energy intensive grades are produced when the cost of energy is lower.
Valentina Colla, Stefano Dettori, Silvia Cateni, Marco Vannucci, Antonella Vignali, Claudio Mocci, Irene Dovichi, Davide Chionna, Lorenzo Vannini, Enrico Paluzzano, Costanzo Pietrosanti, Davide Onesti, Daniele Venier   +12 more
wiley   +1 more source

Agglomeration Behavior of Nonmetallic Particles on the Surface of Si‐Killed Liquid Steel Using HT‐CSLM: An In Situ Investigation

steel research international, EarlyView.
The in situ agglomeration behavior of semisolid Al–silicate inclusions in Si‐killed steel is studied using high‐temperature confocal scanning laser microscopy. Particle motion and interparticle forces at the steel/argon interface are quantified and compared with a modified capillary interaction model.
Suwam Kumar, Muhammad Nabeel, Angshuman Podder, Andre B. Phillion, Neslihan Dogan   +4 more
wiley   +1 more source

Sensitivity study on accuracy and relevant parameters in numerical modeling of internal tendon breaks

Structural Concrete, EarlyView.
Abstract This study investigates the numerical modeling of internal tendon breaks in prestressed concrete structures and evaluates the key parameters affecting accuracy. A combined approach is followed, involving global sensitivity analysis via the Elementary Effects Method and subsequent model calibration using experimental data from distributed fiber‐
Aeneas Paul, David Sanio, Peter Mark
wiley   +1 more source