Search · four archives
Search · four archives
18 papers · ranked by Valyu relevance
Abdelazim G. Hussien, Adrian Pop, Sumit Kumar, Fatma A. Hashim + 3 more
'Gang Hu' 'Yongquan Zhou' 'Shuai Li'] The Artificial Electric Field Algorithm (AEFA) stands out as a physics-inspired metaheuristic, drawing inspiration from Coulomb’s law and electrostatic force; however, while AEFA has demonstrated efficacy, it can face challenges such as convergence issues and suboptimal solutions…
Oluwatayomi Rereloluwa Adegboye, Ezgi Deniz Ülker
Due to its low dependency on the control parameters and straightforward operations, the Artificial Electric Field Algorithm (AEFA) has drawn much interest; yet, it still has slow convergence and low solution precision. In this research, a hybrid Artificial Electric Field Employing Cuckoo Search Algorithm with…
Tianyu Xing, Xiaohao Wang, Kaiyang Ding, Kai Ni + 4 more
'Marcin Uradzinski' 'You Li' 'Hang Guo'] With the development of ocean exploration technology, the exploration of the ocean has become a hot research field involving the use of autonomous underwater vehicles (AUVs). In complex underwater environments, the fast, safe, and smooth arrival of target points is key for AUVs…
Li Zheng, Wenjie Yu, Guangxu Li, Guangxu Qin + 4 more
'Daniel Galan' 'Ramon A. Suarez Fernandez' 'Francisco Javier Badesa'] Path planning is an important part of the navigation control system of mobile robots since it plays a decisive role in whether mobile robots can realize autonomy and intelligence. The particle swarm algorithm can effectively solve the path-planning…
Dikshit Chauhan, Nitin Gupta, Anupam Yadav
Industrial and reliability optimization problems often involve complex constraints and require efficient, interpretable solutions. This paper presents AI-AEFA, an advanced parameter reconfiguration-based metaheuristic algorithm designed to address large-scale industrial and reliability-redundancy allocation problems.…
Guangye Chen, Luis Chacón
We introduce a new electrostatic particle-in-cell algorithm capable of using large timesteps compared to particle gyro-period under a uniform external magnetic field. The algorithm extends earlier electrostatic fully implicit PIC implementations with a new asymptoticpreserving particle-push scheme that allows timesteps…
Konstantin Weise, Kristoffer H. Madsen, Torge Worbs, Thomas R. Knösche + 2 more
Transcranial Electrical Stimulation (TES), Temporal Interference Stimulation (TIS), Electroconvulsive Therapy (ECT) and Tumor Treating Fields (TTFields) are based on the application of electric current patterns to the brain. The optimal electrode positions, shapes and alignments for generating a desired current pattern…
Zhen Qi, Gregory M. Noetscher, Alton Miles, Konstantin Weise + 11 more
Modeling brain stimulation at the microscopic scale may reveal new paradigms for a variety of stimulation modalities. We present the largest map of distributions of the extracellular electric field to date within a layer L2/L3 mouse primary visual cortex brain sample, which was enabled by automated analysis of serial…
Konstantin Weise, Nikola Mikic, Fang Cao, Eric T. Wong + 3 more
Tumor Treating Fields (TTFields) provide a non-invasive treatment option for newly diagnosed glioblastoma. While optimization of electrode placement is important to increase treatment efficacy, clinical therapy planning is done using an undisclosed and proprietary software (NovoTAL®), which is clinically unvalidated.…
Muhammad Fawad Khan, Muhammad Sulaiman, Carlos Andrés Tavera Romero, Ali Alkhathlan + 3 more
A unipolar electrohydrodynamic (UP-EHD) pump flow is studied with known electric potential at the emitter and zero electric potential at the collector. The model is designed for electric potential, charge density, and electric field. The dimensionless parameters, namely the electrical source number $(E_{s})$, the…
Jiannan Chen, Junjie Zhang, Hailiang Qiao, Xue-Ming Li null + 1 more
'Yongtao Zhao'] > Abstract. This paper presents a novel 3-D full electromagnetic particle-in-cell (PIC) code called JefiPIC, which uses Jefimenko's equations as the electromagnetic (EM) field solver through a full-space integration method. Leveraging the power of state-ofthe-art graphic processing units (GPUs), we have…
Sebastian K. Hampl, Marshall T. Waggoner, Ximo Gallud Cidoncha, Elaine M. Petro + 1 more
'Elaine M. Petro' 'Paulo C. Lozano'] In order to better evaluate the trade-offs between different simulation options for an electrospray thruster plume, we have developed a multi-scale n-body code to compute the evolution of a single emitter electrospray plume in the pure ionic regime. The electrostatic force…
Pedro Jiménez, Luis Chacón, Mario Merino
An electrostatic, implicit particle-in-cell (PIC) model for collisionless, fully magnetized, paraxial plasma expansions in a magnetic nozzle is introduced with exact charge, energy, and magnetic moment conservation properties. The approach is adaptive in configuration space by the use of mapped meshes, and exploits the…
Dmytro Sydorenko, Igor Kaganovich, Alexander V. Khrabrov, S. Ethier + 2 more
'J. Chen' 'Salomon Janhunen'] A two-dimensional particle-in-cell code for simulation of low-frequency electromagnetic processes in laboratory plasmas has been developed. The code uses the Darwin method omitting the electromagnetic wave propagation. The Darwin method separates the electric field into solenoidal and…
Till Raab, Manu S. Madhav, Ravikrishnan P. Jayakumar, Jörg Henninger + 2 more
Recent technological advances greatly improved the possibility to study freely behaving animals in natural conditions. However, many systems still rely on animal-mounted devices, which can already bias behavioral observations. Alternatively, animal behaviors can be detected and tracked in recordings of stationary…
Authors not listed
A new machine learning force field is introduced. In this force field, the intermolecular interaction is calculated based on tted electron charge density, while the intramolecular energy is modeled using a traditional atomic-structure-based machine learning force field model. The electron density of the molecular…
Authors not listed
We develop a highly parallelizable algorithm to calculate long-range electrostatic interactions named the Gauss-Legendre-Spherical-t (GLST) cubature method. Motivated by our recent spherical grid and treecode method, we utilize the Gauss-Legendre quadrature for integration over a finite range and spherical t-design for…
Authors not listed
Nonadiabatic dynamics simulations, e.g., via trajectory surface hopping, are nowadays used regularly to describe various photoinduced phenomena in molecules. For a number of reasons, in the setup of such simulations, the actual photoexcitation process is often described by rather crude and approximative excitation…