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dependable multi-population improved brain storm optimization with differential evolution for optimal operational planning of energy plants

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IEEJ Transactions on Power and Energy 2019年第5期139卷 330-337页

作者： Arai, Kiyo Fukuyama, Yoshikazu Iizaka, Tatsuya Matsui, Tetsuro Department of Network Design School of Interdisciplinary Mathematical Science Meiji University 4-21-1 Nakano Nakano-ku Tokyo164-8525 Japan Algorithm Research Dept. System Technology Research Center Advanced Technology Laboratory Corporate R and D Headquarters Fuji Electric Co Ltd. No.1 Fuji-machi Hino191-8502 Japan

This paper proposes dependable Multi-population Improved Brain Storm Optimization with differential Evolution (MP-IBSOdE) for optimal operational planning of energy plants. The problem can be formulated as a mixed-integer nonlinear programming (MINLP) problem and various evolutionary computation techniques such as particle swarm optimization (PSO), differential evolutionary PSO (dEEPSO), multi-population dEEPSO (MP-dEEPSO), and brain storm optimization (BSO) have been applied so far. When optimal operational planning of numbers of energy plants are calculated simultaneously in a data center, a challenge is to generate optimal operational planning as rapidly as possible considering control intervals and numbers of treated plants. One of the solutions for the challenge is speeding up by parallel and distributed computing. It utilizes numbers of processes and countermeasures for various faults of the distributed processes should be considered. Moreover, successive calculation at every control interval is required for keeping customer services. Therefore, sustainable (dependable) calculation keeping appropriate solution quality are required even if some of the calculation results cannot be returned from distributed processes. It is verified that total energy cost by the proposed dependable MP-IBSOdE based method is lower than those by the compared methods, and higher quality of solutions can be kept even with high fault probabilities. © 2019 The Institute of Electrical Engineers of Japan.

关键词： Storms

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Flow-IMPACT: A Pumpless, High-Throughput 3d Cell Culture Platform for Investigation of Synergistic Angiogenic Effects (Adv. Mater. Technol. 11/2025)

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advanced Materials Technologies 2025年第11期10卷

作者： Seonghyuk Park Youngtaek Kim Jungseub Lee Sangmin Jung Jongho Hong Suryong Kim Seung-ryeol Lee Jiyoung Song Siwan Park Young Sun Oh Jihoon Ko Noo Li Jeon Department of Mechanical Engineering Seoul National University Seoul Republic of Korea Qureator Inc. San Diego CA USA Brain Science Institute Korea Institute of Science and Technology (KIST) Seoul Republic of Korea Institute of Advanced Machinery and Design Seoul National University Seoul Republic of Korea R&D Center TargetLink Therapeutics Inc. Seoul Republic of Korea Department of BioNano Technology Gachon University Seongnam-si Gyeonggi-do Republic of Korea Institute of Bioengineering Seoul National University Seoul Republic of Korea

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Corrigendum: "Analysis of hot carrier instability in a floating body cell" [Jpn. J. Appl. Phys. 63, 094002 (2024)]

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Japanese Journal of Applied Physics 2024年第11期63卷 119301-119301页

作者： Hiroomi Nakajima Tomoaki Shino Hironobu Furuhashi Jun Nishimura Tomoki Higashi Katsuyuki Fujita Kosuke Hatsuda ryo Fukuda Takeshi Kajiyama Memory Development Strategy Group2 Memory Development Strategy Division KIOXIA Corporation 2-5-1 Kasama Sakae-ku Yokohama Kanagawa-Pref. 247-8585 Japan File Memory Device Peripheral Element Development Group File Memory Device Engineering Department KIOXIA Corporation 2-5-1 Kasama Sakae-ku Yokohama Kanagawa Pref. 247-8585 Japan Advanced Memory Development Center KIOXIA Corporation 800 Yamanoissiki-Cho Yokkaichi Mie-Pref. 510-0906 Japan Memory Device Engineering Department KIOXIA Systems Corporation 2-5-1 Kasama Sakae-ku Yokohama Kanagawa-Pref. 247-8585 Japan Circuit Technology Research Department AI & System Research Center Frontier Technology R&D Institute KIOXIA Corporation 2-5-1 Kasama Sakae-ku Yokohama Kanagawa Pref. 247-8585 Japan Memory Design Group 4 Memory Design Department 2 Memory Design Managing Department KIOXIA Corporation 2-5-1 Kasama Sakae-ku Yokohama Kanagawa Pref. 247-8585 Japan

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How to verify the precision of density-functional-theory implementations via reproducible and universal workflows

arXiv

引用

arXiv 2023年

作者： Bosoni, Emanuele Beal, Louis Bercx, Marnik Blaha, Peter Blügel, Stefan Bröder, Jens Callsen, Martin Cottenier, Stefaan degomme, Augustin dikan, Vladimir Eimre, Kristjan Flage-Larsen, Espen Fornari, Marco Garcia, Alberto Genovese, Luigi Giantomassi, Matteo Huber, Sebastiaan P. Janssen, Henning Kastlunger, Georg Krack, Matthias Kresse, Georg Kühne, Thomas d. Lejaeghere, Kurt Madsen, Georg K.H. Marsman, Martijn Marzari, Nicola Michalicek, Gregor Mirhosseini, Hossein Müller, Tiziano M.A. Petretto, Guido Pickard, Chris J. Poncé, Samuel rignanese, Gian-Marco rubel, Oleg ruh, Thomas Sluydts, Michael Vanpoucke, danny E.P. Vijay, Sudarshan Wolloch, Michael Wortmann, daniel Yakutovich, Aliaksandr V. Yu, Jusong Zadoks, Austin Zhu, Bonan Pizzi, Giovanni Institut de Ciència de Materials de Barcelona ICMAB-CSIC Campus UAB Bellaterra08193 Spain Univ. Grenoble-Alpes CEA IRIG-MEM-L Sim Grenoble38000 France LausanneCH-1015 Switzerland Institute for Materials Chemistry Technical University of Vienna Getreidemarkt 9/165-TC ViennaA-1060 Austria Peter Grünberg Institut Institute for Advanced Simulation Forschungszentrum Jülich JARA JülichD-52425 Germany Forschungszentrum Jülich JülichD-52425 Germany Department of Electromechanical Systems and Metal Engineering Ghent University Belgium Ghent University Belgium Institute of Atomic and Molecular Sciences Academia Sinica Taipei10617 Taiwan Norwegian EuroHPC Competence Center Sigma2 AS Norway SINTEF Industry Materials Physics Oslo Norway Department of Physics Science of Advanced Materials Program Central Michigan University Mount PleasantMI48859 United States Université catholique de Louvain Chemin des Étoiles 8 Louvain-la-Neuve1348 Belgium LausanneCH-1015 Switzerland Kongens Lyngby2800 Denmark VilligenCH-5232 Switzerland University of Vienna Faculty of Physics Center for Computational Materials Science Kolingasse 14-16 ViennaA-1090 Austria VASP Software GmbH Sensengasse 8 ViennaA-1090 Austria Helmholtz-Zentrum Dresden-Rossendorf GörlitzD-02826 Germany Center for Sustainable Systems Design University of Paderborn PaderbornD-33098 Germany OCAS NV ArcelorMittal Global R&D Gent Pres. J. F. Kennedylaan 3 ZelzateB-9060 Belgium Dynamics of Condensed Matter Theoretical Chemistry University of Paderborn PaderbornD-33098 Germany HPE HPC EMEA Research Lab BaselCH-4051 Switzerland Department of Materials Science & Metallurgy University of Cambridge 27 Charles Babbage Road CambridgeCB3 0FS United Kingdom Advanced Institute for Materials Research Tohoku University 2-1-1 Katahira Aoba Sendai980-8577 Japan Department of Materials Science and Engineering McMaster University 1280 Main Street West HamiltonONL8S 4L8 Canada ePot

In the past decades many density-functional theory methods and codes adopting periodic boundary conditions have been developed and are now extensively used in condensed matter physics and materials science research. Only in 2016, however, their precision (i.e., to which extent properties computed with different codes agree among each other) was systematically assessed on elemental crystals: a first crucial step to evaluate the reliability of such computations. We discuss here general recommendations for verification studies aiming at further testing precision and transferability of density-functional-theory computational approaches and codes. We illustrate such recommendations using a greatly expanded protocol covering the whole periodic table from Z=1 to 96 and characterizing 10 prototypical cubic compounds for each element: 4 unaries and 6 oxides, spanning a wide range of coordination numbers and oxidation states. The primary outcome is a reference dataset of 960 equations of state cross-checked between two all-electron codes, then used to verify and improve nine pseudopotential-based approaches. Such effort is facilitated by deploying AiidA common workflows that perform automatic input parameter selection, provide identical input/output interfaces across codes, and ensure full reproducibility. Finally, we discuss the extent to which the current results for total energies can be reused for different goals (e.g., obtaining formation energies). © 2023, CC BY.

关键词： density functional theory

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Short period magnetization texture of B20-MnGe explained by thermally fluctuating local moments

arXiv

引用

arXiv 2020年

作者： Mendive-Tapia, Eduardo dos Santos dias, Manuel Grytsiuk, Sergii Staunton, Julie B. Blügel, Stefan Lounis, Samir Department of Computational Materials Design Max-Planck-Institut für Eisenforschung Düsseldorf40237 Germany Peter Grünberg Institut Institute for Advanced Simulation Forschungszentrum Jülich and JARA Jülich52425 Germany Department of Physics University of Warwick CoventryCV4 7AL United Kingdom

B20-type compounds, such as MnSi and FeGe, host helimagnetic and skyrmion phases at the mesoscale, which are canonically explained by the combination of ferromagnetic isotropic interactions with weaker chiral dzyaloshinskii-Moriya ones. Mysteriously, MnGe evades this paradigm as it displays a noncollinear magnetic state at a much shorter nanometer scale. Here we show that the length scale and volume-dependent magnetic properties of MnGe stem from purely isotropic exchange interactions, generally obtained in the paramagnetic state. Our approach is validated by comparing MnGe with the canonical B20-helimagnet FeGe. The free energy of MnGe is calculated, from which we show how triple-q magnetic states can stabilize by adding higher-order interactions. © 2020, CC-BY.

关键词： Germanium alloys

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How do Plants Boost Pyrite-driven Nitrogen removal in Constructed Wetlands?

SSRN

引用

SSrN 2022年

作者： Shen, Cheng Su, Liti Zhao, Yaqian Liu, Wenbo Liu, ranbin Zhang, Fuhao Shi, Yun Wang, Jie Tang, Qiuqi Yang, Yan Man, Yu Bon Zhang, Jin School of Environment and Natural Resources Zhejiang University of Science & Technoogyl Zhejiang Hangzhou310000 China Sino-Dutch R&D Centre for Future Wastewater Treatment Technologies Beijing Advanced Innovation Center of Future Urban Design Beijing University of Civil Engineering & Architecture Beijing100044 China Dooge Centre for Water Resources Research School of Civil Engineering University College Dublin Belfield Dublin 4 Ireland State Key Laboratory of Eco-Hydraulics in Northwest Arid Region Xi’an University of Technology Xi’an710048 China Department of Science and Environmental Studies The Education University of Hong Kong 10 Lo Ping Road Tai Po Hong Kong Zhejiang University of Science and Technology China University College Dublin Ireland

Pyrite-driven autotrophic denitrification (PAd) is attractive for nitrogen removal from organic-deficient wastewater. However, the low denitrification rate is one major limitation of PAd. Among the engineered applications of PAd, the PAd-integrated CW performed excellently in both nitrogen and phosphorus removal. As plants were the key difference between CWs and other engineered systems, we suppose that plants play a significant role in PAd. Thus, the role of plants in nitrogen removal, pyrite dissolution, and microbial community has been identified. The results show that plants enhanced the TN removal significantly (from 41.6±3.9% to 97.1±2.6%). Plants can accelerate the PAd in CW through the strengthening of pyrite dissolution. Enriched functional (Thiobacillus and Acidiferrobacter) and close interaction among microbes related to the iron, nitrogen, and sulfur cycles has been found in CW with plants. This study identified the role of plants in PAd acceleration, providing an in-depth understanding of pyrite in CW systems. © 2022, The Authors. All rights reserved.

关键词： denitrification

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roadmap on Nonlocality in Photonic Materials and Metamaterials

arXiv

引用

arXiv 2025年

作者： Monticone, Francesco Mortensen, N. Asger Fernández-domínguez, Antonio I. Luo, Yu Tserkezis, Christos Khurgin, Jacob B. Shahbazyan, Tigran V. Chaves, André J. Peres, Nuno M.r. Wegner, Gino Busch, Kurt Hu, Huatian della Sala, Fabio Zhang, Pu Ciracì, Cristian Aizpurua, Javier Babaze, Antton Borisov, Andrei G. Chen, Xue-Wen Christensen, Thomas Yan, Wei Yang, Yi Hohenester, Ulrich Huber, Lorenz Wubs, Martijn de Liberato, Simone Gonçalves, P.A.d. de Abajo, F. Javier García Hess, Ortwin Tarasenko, Illya Cox, Joel d. Jelver, Line dias, Eduardo J.C. Sánchez, Miguel Sánchez Margetis, dionisios Gómez-Santos, Guillermo Stauber, Tobias Tretyakov, Sergei Simovski, Constantin Pakniyat, Samaneh Gómez-díaz, J. Sebastián Bondarev, Igor V. Biehs, Svend-Age Boltasseva, Alexandra Shalaev, Vladimir M. Krasavin, Alexey V. Zayats, Anatoly V. Alù, Andrea Song, Jung-Hwan Brongersma, Mark L. Levy, Uriel Long, Olivia Y. Guo, Cheng Fan, Shanhui Bozhevolnyi, Sergey I. Overvig, Adam Prudêncio, Filipa r. Silveirinha, Mário G. Gangaraj, S. Ali Hassani Argyropoulos, Christos Huidobro, Paloma A. Galiffi, Emanuele Yang, Fan Pendry, John B. Miller, david A.B. School of Electrical and Computer Engineering Cornell University IthacaNY14853 United States POLIMA Center for Polariton-driven Light–Matter Interactions University of Southern Denmark Campusvej 55 Odense MDK-5230 Denmark D-IAS—Danish Institute for Advanced Study University of Southern Denmark Campusvej 55 Odense MDK-5230 Denmark Departamento de Física Teórica de la Materia Condensada Universidad Autónoma de Madrid MadridE-28049 Spain Universidad Autónoma de Madrid MadridE-28049 Spain School of Electrical and Electronic Engineering Nanyang Technological University Singapore639798 Singapore Key Laboratory of Radar Imaging and Microwave Photonics Ministry of Education College of Electronic and Information Engineering Nanjing University of Aeronautics and Astronautics Nanjing211106 China Department of Electrical and Computer Engineering Johns Hopkins University BaltimoreMD21218 United States Department of Physics Jackson State University JacksonMS39217 United States Department of Physics Aeronautics Institute of Technology SP So Jos dos Campos12228-900 Brazil Departamento de Física Universidade do Minho BragaP-4710-057 Portugal Av Mestre José Veiga Braga4715-330 Portugal Max-Born-Institut Berlin12489 Germany Humboldt-Universität zu Berlin Institut für Physik AG Theoretische Optik and Photonik Berlin12489 Germany Center for Biomolecular Nanotechnologies Istituto Italiano di Tecnologia Via Barsanti 14 Arnesano73010 Italy Via Monteroni Campus Unisalento Lecce73100 Italy School of physics Huazhong University of Science and Technology Luoyu Road 1037 Wuhan430074 China Donostia International Physics Center DIPC Donostia-San Sebastián20018 Spain Ikerbasque Basque Foundation for Science Bilbao48009 Spain Department of Electricity and Electronics University of the Basque Country Leioa48940 Spain Department of Applied Physics University of the Basque Country Donostia20018 Spain Université Paris-Saclay CNRS Institut des Scienc

Photonic technologies continue to drive the quest for new optical materials with unprecedented responses. A major frontier in this field is the exploration of nonlocal (spatially dispersive) materials, going beyond the local, wavevector-independent assumption traditionally made in optical material modeling. On one end, the growing interest in plasmonic, polaritonic and quantum materials has revealed naturally occurring nonlocalities, emphasizing the need for more accurate models to predict and design their optical responses. This has major implications also for topological, nonreciprocal, and time-varying systems based on these material platforms. Beyond natural materials, artificially structured materials—metamaterials and metasurfaces–can provide even stronger and engineered nonlocal effects, emerging from long-range interactions or multipolar effects. This is a rapidly expanding area in the field of photonic metamaterials, with open frontiers yet to be explored. In the case of metasurfaces, in particular, nonlocality engineering has become a powerful tool for designing strongly wavevector-dependent responses, enabling enhanced wavefront control, spatial compression, multifunctional devices, and wave-based computing. Furthermore, nonlocality and related concepts play a critical role in defining the ultimate limits of what is possible in optics, photonics, and wave physics. This roadmap aims to survey the most exciting developments in nonlocal photonic materials, highlight new opportunities and open challenges, and chart new pathways that will drive this emerging field forward–toward new scientific discoveries and technological advancements. Copyright © 2025, The Authors. All rights reserved.

关键词： Nanocrystals

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disruption of a massive molecular cloud by a supernova in the Galactic Centre Initial results from the ACES project

arXiv

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arXiv 2024年

作者： Nonhebel, Mairi Barnes, A.T. Immer, K. Armijos-Abendaño, J. Bally, J. Battersby, C. Burton, M.G. Butterfield, N. Colzi, L. García, P. Ginsburg, A. Henshaw, J.d. Hu, Y. Jiménez-Serra, I. Klessen, r.S. Kruijssen, J.M.d. Liang, F.-H. Longmore, S.N. Lu, X. Martín, S. Mills, E.A.C. Nogueras-Lara, F. Petkova, M.A. Pineda, J.E. rivilla, V.M. Sánchez-Monge, Á. Santa-Maria, M.G. Smith, H.A. Sofue, Y. Sormani, M.C. Tolls, V. Walker, d.L. Wallace, J. Wang, Q.d. Williams, G.M. Xu, F.-W. Karl-Schwarzschild-Straße 2 Garching85748 Germany SUPA School of Physics and Astronomy University of St. Andrews North Haugh St. AndrewsKY16 9SS United Kingdom School of Physics and Astronomy Cardiff University The Parade CardiffCF24 3AA United Kingdom Observatorio Astronómico de Quito Escuela Politécnica Nacional Interior del Parque La Alameda Quito170136 Ecuador Department of Astrophysical and Planetary Sciences University of Colorado BoulderCO80389 United States University of Connecticut Department of Physics 196A Hillside Road Unit 3046 StorrsCT06269-3046 United States Armagh Observatory and Planetarium College Hill ArmaghBT61 9DB United Kingdom National Radio Astronomy Observatory 520 Edgemont Road CharlottesvilleVA22903 United States CSIC-INTA Carretera de Ajalvir km 4 Torrejón de Ardoz Madrid28850 Spain Instituto de Astronomía Universidad Católica del Norte Av. Angamos 0610 Antofagasta Chile Chinese Academy of Sciences South America Center for Astronomy National Astronomical Observatories CAS Beijing100101 China Department of Astronomy University of Florida P.O. Box 112055 GainesvilleFL32611 United States Astrophysics Research Institute Liverpool John Moores University IC2 Liverpool Science Park 146 Brownlow Hill LiverpoolL3 5RF United Kingdom Max Planck Institute for Astronomy Königstuhl 17 HeidelbergD-69117 Germany Institute for Advanced Study 1 Einstein Drive PrincetonNJ08540 United States Universität Heidelberg Zentrum für Astronomie Institut für Theoretische Astrophysik Albert-Ueberle-Straße 2 HeidelbergD-69120 Germany Universität Heidelberg Interdisziplinäres Zentrum für Wissenschaftliches Rechnen Im Neuenheimer Feld 205 HeidelbergD-69120 Germany Technical University of Munich School of Engineering and Design Department of Aerospace and Geodesy Chair of Remote Sensing Technology Arcisstr. 21 Munich80333 Germany Research DAO Sub-department of Astrophysics Department of Physics University of Oxford Deny

The Milky Way’s Central Molecular Zone (CMZ) differs dramatically from our local solar neighbourhood, both in the extreme interstellar medium conditions it exhibits (e.g. high gas, stellar, and feedback density) and in the strong dynamics at play (e.g. due to shear and gas influx along the bar). Consequently, it is likely that there are large-scale physical structures within the CMZ that cannot form elsewhere in the Milky Way. In this paper, we present new results from the Atacama Large Millimeter/submillimeter Array (ALMA) large programme ACES (ALMA CMZ Exploration Survey) and conduct a multi-wavelength and kinematic analysis to determine the origin of the M0.8−0.2 ring, a molecular cloud with a distinct ring-like morphology. We estimate the projected inner and outer radii of the M0.8−0.2 ring to be 79′′ and 154′′, respectively (3.1 pc and 6.1 pc at an assumed Galactic Centre distance of 8.2 kpc) and calculate a mean gas density > 104 cm−3, a mass of ∼ 106 M☉, and an expansion speed of ∼ 20 km s−1, resulting in a high estimated kinetic energy (> 1051 erg) and momentum (> 107 M☉ km s−1). We discuss several possible causes for the existence and expansion of the structure, including stellar feedback and large-scale dynamics. We propose that the most likely cause of the M0.8−0.2 ring is a single high-energy hypernova explosion. To viably explain the observed morphology and kinematics, such an explosion would need to have taken place inside a dense, very massive molecular cloud, the remnants of which we now see as the M0.8−0.2 ring. In this case, the structure provides an extreme example of how supernovae can affect molecular clouds. © 2024, CC BY.

关键词： Supernovae

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Contrasting effects of Si on high-temperature deformation behavior and room-temperature strength in V-microalloyed 10Mn-18Cr stainless steels

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Materials & design 2025年 254卷

作者： Atef Hamada Ali Khosravifard Khaled Elanany Mahmoud Khedr Anna Kisko Matias Jaskari Saad Ebied Tarek Allam Antti Järvenpää Pentti Karjalainen Kerttu Saalasti Institute Future Manufacturing Technologies (FMT) University of Oulu Pajatie 5 FI-85500 Nivala Finland Department of Materials and Metallurgical Engineering Abadeh Higher Education Center Shiraz University Abadeh 73916 Iran Department of Ferrous Metallurgy Montanuniversität Leoben Franz-Josef-Straße 18 8700 Leoben Austria Mechanical Engineering Department Faculty of Engineering at Shoubra Benha University Cairo 11629 Egypt Hydro Aluminium AS Hydro Aluminium Sunndal R&D Romsdalsvegen 1 NO-6601 Sunndalsøra Norway Department of Production Engineering and Mechanical Design Faculty of Engineering Tanta University Tanta 31527 Egypt Institute of Energy Materials and Devices - Structure and Function of Materials (IMD−1) Forschungszentrum Jülich GmbH 52428 Jülich Germany Materials and Mechanical Engineering Centre for Advanced Steels Research University of Oulu FI-90014 Oulu Finland

Two MnCr stainless steels (0.17C-10Mn-18Cr-xSi-1V-0.25N, wt.%) with varying Si contents (x=0.4 and 2.2 wt.%) were designed with a stacking fault energy of 35 mJ/m 2 to activate the TWIP effect. The high-temperature deformation behavior and room-temperature (rT) tensile properties were investigated to explore the impact of Si in both high and rT regimes. The high-temperature behavior of the steels was assessed using hot-rolled plates through compression tests at temperatures ranging from 950 to 1100 °C and strain rates from 0.01 to 10 s −1 . Hot deformation processing maps were established to identify the safe and unstable deformation zones. The rT tensile properties were evaluated through uniaxial tensile tests of fast-heating (FH) annealed cold-rolled sheets at temperatures ranging from 800 to 1200 °C for 3 min. Microstructural analysis of the hot-rolled and FH annealed structures was conducted using electron backscatter diffraction and laser scanning confocal microscopy, and precipitation was characterized by transmission electron microscopy. The findings demonstrated that MnCr-V steel with higher Si content (2.2 wt.%) had reduced hot-deformation resistance and lower activation energy for deformation (477 kJ/mol) compared to its lower Si counterpart (507 kJ/mol). This can be attributed to the soft ferrite phase within the austenite during elevated temperature tests. Conversely, the rT tensile properties exhibited an opposite trend, with the high Si steel showing increased yield strength (YS) and Ultimate tensile strength (UTS) compared to the low Si steel. This improvement is due to solid solution strengthening from Si, precipitation strengthening from V(C,N) particles, and a fine-grained recrystallized structure resulting from short annealing. For instance, after a FH process at 1000 °C for 3 min, the YS, UTS, and total elongation values were 665 MPa, 980 MPa, and 40 %, respectively, for the low Si steel, while the high Si steel achieved values of 715 MPa, 1045 M

关键词： MnCr stainless steel Si alloying High-temperature deformation Mechanical properties Ferrite phase Microstructure

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Identifying the nature of the QCd transition in heavy-ion collisions with deep learning

arXiv

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arXiv 2020年

作者： du, Yi-Lun Zhou, Kai Steinheimer, Jan Pang, Long-Gang Motornenko, Anton Zong, Hong-Shi Wang, Xin-Nian Stöcker, Horst Frankfurt Institute for Advanced Studies Giersch Science Center Frankfurt am MainD-60438 Germany Institut für Theoretische Physik Goethe Universität Frankfurt Frankfurt am MainD-60438 Germany Department of Physics Nanjing University Nanjing210093 China Department of Physics and Technology University of Bergen Bergen5007 Norway Nuclear Science Division Lawrence Berkeley National Laboratory BerkeleyCA94720 United States Physics Department University of California BerkeleyCA94720 United States Institute of Particle Physics CCNU Wuhan430079 China Nanjing Proton Source Research and Design Center Nanjing210093 China Department of physics Anhui Normal University WuhuAnhui241000 China GSI Helmholtzzentrum für Schwerionenforschung DarmstadtD-64291 Germany

In this proceeding, we review our recent work using deep convolutional neural network (CNN) to identify the nature of the QCd transition in a hybrid modeling of heavy-ion collisions. Within this hybrid model, a viscous hydrodynamic model is coupled with a hadronic cascade "after-burner". As a binary classification setup, we employ two different types of equations of state (EoS) of the hot medium in the hydrodynamic evolution. The resulting final-state pion spectra in the transverse momentum and azimuthal angle plane are fed to the neural network as the input data in order to distinguish different EoS. To probe the effects of the fluctuations in the event-by-event spectra, we explore different scenarios for the input data and make a comparison in a systematic way. We observe a clear hierarchy in the predictive power when the network is fed with the event-by-event, cascade-coarse-grained and event-fine-averaged spectra. The carefully-trained neural network can extract high-level features from pion spectra to identify the nature of the QCd transition in a realistic simulation scenario. Copyright © 2020, The Authors. All rights reserved.

关键词： Equations of state

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