Article
Engineering, Aerospace
Tao Zhang, Chengchao Li, Dongying Ma, Xiaodong Wang, Chaoyong Li
Summary: This paper discusses task management and control problem for military operations with a dynamic game strategy. A matrix game scheme and a fast optimal search algorithm were proposed to solve the dimension explosion problem inherent with matrix game scheme, with simulation results verifying the effectiveness of the proposed scheme.
AEROSPACE SCIENCE AND TECHNOLOGY
(2021)
Review
Management
Tobias Kreuter, Luiz Felipe Scavarda, Antonio Marcio Tavares Thome, Bernd Hellingrath, Marcelo Xavier Seeling
Summary: This paper evaluates empirical and theoretical perspectives in Sales and Operations Planning (S&OP) through a systematic literature review of 292 publications. The findings reveal three main research streams, an upward trend in external general theory usage, and initial signs of internal theory development in S&OP. The study calls for more exploratory research and advocates for the integration of design science approach to include practitioners in academic research.
REVIEW OF MANAGERIAL SCIENCE
(2022)
Article
Automation & Control Systems
Jing Bi, Haitao Yuan, Jiahui Zhai, MengChu Zhou, H. Vincent Poor
Summary: This work proposes an improved self-adaptive bat algorithm with genetic operations (SBAGO) that combines genetic algorithm (GA) and bat algorithm (BA) in a highly integrated way. SBAGO utilizes the search information of BA to perform GA's genetic operations, resulting in improved search performance. Experimental results show that SBAGO outperforms other algorithms in various metrics.
IEEE-CAA JOURNAL OF AUTOMATICA SINICA
(2022)
Article
Chemistry, Physical
Ting Nie, Xue-Qing Gong
Summary: Zinc oxide (ZnO) based nanomaterials are commonly used as heterogeneous catalysts, with twinned ZnO nanomaterials showing unique catalytic activities. The study found that O-Zn-terminated polar nanostructures have the highest stability, potentially serving as active sites for catalytic reactions. Structural and electronic calculations revealed that the total energies of twinned ZnO nanostructures are influenced by both surface and twinning boundary energetics, with the latter playing a more significant role.
APPLIED SURFACE SCIENCE
(2022)
Article
Physics, Condensed Matter
D. A. Rasero, A. A. Portacio, P. Villamil, B. A. Rodriguez
Summary: A theoretical method based on open quantum systems theory was applied to calculate the optical rectification in a cavity-quantum dot system. It was found that the optical rectification in nanostructures interacting with a quantum field of light exhibits an absorption peak at lower frequencies compared to interaction with classical light, due to the number of quantum states and photons involved in the transitions.
PHYSICA B-CONDENSED MATTER
(2021)
Article
Chemistry, Inorganic & Nuclear
Ehsan Farajpour, Cysus Ghotbi, Taraneh Jafari Behbahani
Summary: Friction Theory and Free Volume Theory are applied to model the viscosity of live oil based on SARA TEST, in combination with PR and PCSAFT equations of state. The results show that PC-SAFT provides more accurate viscosity predictions with less deviation from experimental data. The FT and FVT models perform better for oils with API > 40 and API < 40, respectively. The combination of PC-SAFT and Particle Swarm Optimization improves the accuracy of viscosity modeling, with PSO playing a significant role, even more important than PC-SAFT.
INORGANIC CHEMISTRY COMMUNICATIONS
(2022)
Article
Optics
Vinicius P. Rossi, Diogo O. Soares-Pinto
Summary: The study investigates the inconsistency in time reference frame between the isolated friend and the outer observer in Wigner's friend scenario, and explores how introducing a quantum clock can lead to paradoxes.
Article
Physics, Multidisciplinary
Jehyun Kim, Jonginn Yun, Wonjin Jang, Hyeongyu Jang, Jaemin Park, Younguk Song, Min-Kyun Cho, Sangwoo Sim, Hanseo Sohn, Hwanchul Jung, Vladimir Umansky, Dohun Kim
Summary: In this study, we report energy-selective tunneling readout-based Hamiltonian parameter estimation of a two-electron spin qubit in a GaAs quantum dot array. By optimizing the readout fidelity, we achieved an average single-shot measurement time of 16 μs, along with adaptive initialization and efficient qubit frequency estimation based on realtime Bayesian inference. We observed a 40-fold increase in coherence time for qubit operation in a frequency heralded mode, without resorting to dynamic nuclear polarization. Additionally, we demonstrated active frequency feedback with quantum oscillation visibility, single-shot measurement fidelity, and gate fidelity of 97.7%, 99%, and 99.6%, respectively, showcasing the improvements in the overall capabilities of GaAs-based spin qubits. Pushing the sensitivity of energy-selective tunneling-based spin to charge conversion to the limit, this technique is useful for advanced quantum control protocols such as error mitigation schemes, where fast qubit parameter calibration with a high signal-to-noise ratio is crucial.
PHYSICAL REVIEW LETTERS
(2022)
Article
Transportation Science & Technology
Serge Hoogendoorn, Alexandra Gavriilidou, Winnie Daamen, Dorine Duives
Summary: This paper presents a novel microscopic modelling framework for bicycle flow operations, extending the principles successfully applied in pedestrian and vessel flow. The model considers the kinematics of cyclists and includes different strategies in its game-theoretical framework, allowing for the modeling of different types of cyclists. Insights gained from the model show the impact of strategy assumptions and parameter choices on interactions and collective phenomena in cyclist flow.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2021)
Article
Mathematics, Interdisciplinary Applications
Shihua Wang, Yanmin Liu, Kangge Zou, Nana Li, Yaowei Wu
Summary: In this paper, a multiobjective particle swarm optimization algorithm based on ideal distance (IDMOPSO) is proposed. By using adaptive grid and ideal distance, fine-tuning parameters, and cosine factor, the algorithm effectively improves the convergence and distribution. Experimental results on benchmark functions demonstrate that IDMOPSO outperforms other algorithms in terms of convergence, diversity, and solution ability.
DISCRETE DYNAMICS IN NATURE AND SOCIETY
(2022)
Article
Physics, Fluids & Plasmas
Tomohiro Tanogami
Summary: The study investigates three-dimensional quantum turbulence using the Gross-Pitaevskii model and the analytical method from Onsager ideal turbulence theory. It reveals the scale independence of kinetic energy flux and establishes a double-cascade scenario. Different types of cascades are observed at scales larger and smaller than the mean intervortex distance l(i).
Article
Forestry
Shuping Fang, Yu Ru, Yangyang Liu, Chenming Hu, Xuyang Chen, Bin Liu
Summary: Research shows that using the GAACO-GA algorithm can optimize the spraying route of helicopters for pesticide application, significantly reducing spraying distance, number of turns, and redundant coverage, while reducing fuel and pesticide consumption.
Article
Management
Jiahao He, Guangyuan Zhang, Jiheng Zhang, Rachel Q. Zhanga
Summary: This paper investigates approximate system equilibria and optimal designs of a blockchain. It shows that the confirmation latency of blocks adds complexity to the equilibrium behavior and optimal design. By analyzing the interactions between miners' participation decisions and users' participation and fee decisions, the study identifies the optimal designs for maximizing throughput or social welfare. The research also uncovers the interdependence of decisions between users and miners and the driving factors for nonzero entrance fees in practice by incorporating security concerns.
M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT
(2023)
Article
Materials Science, Multidisciplinary
Zijun Jing, Qinqin Yuan, Yang Yu, Xiangtao Kong, Khai Chen Tan, Jintao Wang, Qijun Pei, Xue-Bin Wang, Wei Zhou, Hui Wu, Anan Wu, Teng He, Ping Chen
Summary: This study has identified 20 metalorganic hydrides with high hydrogen capacities and suitable thermodynamics for hydrogen storage, among which 4 were selected for experimental validation. The results demonstrate the great potential of metalorganic hydrides in addressing the challenge of hydrogen storage and highlight the effectiveness of theoretical prediction in guiding materials fabrication.
ACS MATERIALS LETTERS
(2021)
Article
Physics, Multidisciplinary
Benjamin Yadin, Hyejung H. Jee, Carlo Sparaciari, Gerardo Adesso, Alessio Serafini
Summary: In this study, the problem of state transformations in the presence of catalysts is examined within the framework of Gaussian thermal resource theory. The results show that strong catalysts are ineffective for the single mode case, while weak catalysts can achieve more final system states. Necessary conditions for Gaussian thermal state transformations are derived for different numbers of modes, including strong catalysts, approximate transformations, and weak catalysts with and without a thermal bath.
JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL
(2022)
