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Comparison of Lattice Boltzmann,Finite Element and Volume of Fluid Multicomponent Methods for Microfluidic Flow Problems and the Jetting of Microdroplets

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Communications in Computational physics 2023年第3期33卷 912-936页

作者： Karun P.N.datadien Gianluca Di Staso Christian Diddens Herman M.A.Wijshoff Federico Toschi Department of Applied Physics and Science Education Eindhoven University of Technology5600MB EindhovenNetherlands FLOW Matters Consultancy B.V. 5612AEEindhovenThe Netherlands Physics of Fluids group Department of Science and TechnologyMesa+InstituteMax Planck Center for Complex Fluid Dynamics and J.M.Burgers Centre for Fluid DynamicsUniversity of TwenteP.O.Box 2177500 AE EnschedeThe Netherlands Canon Production Printing Netherlands B.V. 5914 HHVenloThe Netherlands Department of Mathematics and Computer Science Eindhoven University of Technology5600MB EindhovenNetherlands Istituto per le Applicazioni del Calcolo Consiglio Nazionale delle Ricerche00185 RomeItaly.

We show that the lattice Boltzmann method(LBM)based color-gradient model with a central moments formulation(CG-CM)is capable of accurately simulating the droplet-on-demand inkjetting process on a micrometer length scale by comparing it to the Arbitrary Lagrangian Eulerian Finite Element Method(ALE-FEM).A full jetting cycle is simulated using both CG-CM and ALE-FEMand results are quantitatively compared by measuring the ejected ink velocity,volume and contraction *** also show that the individual relevant physical phenomena are accurately captured by considering three test-cases;droplet oscillation,ligament contraction and capillary *** first two cases test accuracy for a dynamic system where surface tension is the driving force and the third case is designed to test wetting boundary *** the first two cases we also compare the CG-CM and ALE-FEM results to Volume of Fluid(VOF)*** of the three methods shows close agreement when compared to each other and analytical solutions,where *** we demonstrate that asymmetric jetting is achievable using 3D CG-CM simulations utilizing asymmetric wetting conditions inside the *** allows for systematic investigation into the physics of asymmetric jetting,*** to jet-nozzle manufacturing imperfections or due to other disturbances.

关键词： Lattice Boltzmann method multiphase flow multicomponent flow inkjet printing

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Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation 39

Harnessing Multimodal Large Language Models for Multimodal S...

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39th Annual AAAI Conference on Artificial Intelligence, AAAI 2025

作者： Ye, Yuyang Zheng, Zhi Shen, Yishan Wang, Tianshu Zhang, Hengruo Zhu, Peijun Yu, Runlong Zhang, Kai Xiong, Hui Department of Management Science and Information Systems Rutgers University United States School of Data Science University of Science and Technology of China China Department of Applied Mathematics and Computational Science University of Pennsylvania United States Bytedance Inc. China School of Computer Science Georgia Institute of Technology United States Department of Computer Science University of Pittsburgh United States China

ISBN: (纸本)157735897X

Recent advances in Large Language Models (LLMs) have demonstrated significant potential in the field of Recommendation Systems (RSs). Most existing studies have focused on converting user behavior logs into textual prompts and leveraging techniques such as prompt tuning to enable LLMs for recommendation tasks. Meanwhile, research interest has recently grown in multimodal recommendation systems that integrate data from images, text, and other sources using modality fusion techniques. This introduces new challenges to the existing LLM-based recommendation paradigm which relies solely on text modality information. Moreover, although Multimodal Large Language Models (MLLMs) capable of processing multi-modal inputs have emerged, how to equip MLLMs with multi-modal recommendation capabilities remains largely unexplored. To this end, in this paper, we propose the Multimodal Large Language Model-enhanced Sequential Multimodal Recommendation (MLLM-MSR) model. To capture the dynamic user preference, we design a two-stage user preference summarization method. Specifically, we first utilize an MLLM-based item-summarizer to extract image feature given an item and convert the image into text. Then, we employ a recurrent user preference summarization generation paradigm to capture the dynamic changes in user preferences based on an LLM-based user-summarizer. Finally, to enable the MLLM for multi-modal recommendation task, we propose to fine-tune a MLLM-based recommender using Supervised Fine-Tuning (SFT) techniques. Extensive evaluations across various datasets validate the effectiveness of MLLM-MSR, showcasing its superior ability to capture and adapt to the evolving dynamics of user preferences. Copyright © 2025, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

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Taming numerical imprecision by adapting the KL divergence to negative probabilities

arXiv

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arXiv 2023年

作者： Pfahler, Simon Georg, Peter Schill, Rudolf Klever, Maren Grasedyck, Lars Spang, Rainer Wettig, Tilo Department of Physics University of Regensburg Regensburg93040 Germany Department of Biosystems and Engineering ETH Zürich Basel4056 Switzerland Institute for Geometry and Applied Mathematics RWTH Aachen Aachen52062 Germany Department of Informatics and Data Science University of Regensburg Regensburg93040 Germany

The Kullback-Leibler (KL) divergence is frequently used in data science. For discrete distributions on large state spaces, approximations of probability vectors may result in a few small negative entries, rendering the KL divergence undefined. We address this problem by introducing a parameterized family of substitute divergence measures, the shifted KL (sKL) divergence measures. Our approach is generic and does not increase the computational overhead. We show that the sKL divergence shares important theoretical properties with the KL divergence and discuss how its shift parameters should be chosen. If Gaussian noise is added to a probability vector, we prove that the average sKL divergence converges to the KL divergence for small enough noise. We also show that our method solves the problem of negative entries in an application from computational oncology, the optimization of Mutual Hazard Networks for cancer progression using tensor-train approximations. Copyright © 2023, The Authors. All rights reserved.

关键词： Tensors

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Artificial intelligence enabled smart design and manufacturing of advanced materials:The endless Frontier in AI^(+) era

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Materials Genome Engineering Advances 2024年第3期2卷 18-37页

作者： William Yi Wang Suyang Zhang Gaonan Li Jiaqi Lu Yong Ren Xinchao Wang Xingyu Gao Yanjing Su Haifeng Song Jinshan Li State Key Laboratory of Solidification Processing Northwestern Polytechnical UniversityXi'anShaanxiChina Innovation Center NPU ChongqingChongqingChina Institute of Applied Physics and Computational Mathematics BeijingChina Beijing Advanced Innovation Center for Materials Genome Engineering University of Science and Technology BeijingBeijingChina

Future-oriented science&Technology(S&T)Strategies trigger the innovative developments of advanced materials,providing an envision to the significant progress of leading-/cutting-edge science,engineering,and technologies for the next few *** by Made in China 2025 and New Material Power Strategy by 2035,several key viewpoints about automated research workflows for accelerated discovery and smart manufacturing of advanced materials in terms of AI for science and main respective of big data,database,standards,and ecosys-tems are *** to classical toolkits at various spatial and temporal scales,AI-based toolkits and AI-enabled computations for material design are compared,highlighting the dominant role of the AI agent *** recent developed ProME platform together with its functions is introduced briefly.A case study of AI agent assistant welding is presented,which is consisted of the large language model,auto-coding via AI agent,image processing,image mosaic,and machine learning for welding defect ***,more duties are called to educate the next generation workforce with creative minds and *** is believed that the transformation of knowledge-enabled data-driven integrated computational material engineering era to AI^(+) era promotes the transformation of smart design and manufacturing paradigm from“designing the materials”to“designing with materials.”

关键词： AI agent AI for materials science auto-coding high-throughput investigations workflow

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JARVIS-Leaderboard:a large scale benchmark of materials design methods

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npj Computational Materials 2024年第1期10卷 2280-2296页

作者： Kamal Choudhary Daniel Wines Kangming Li Kevin F.Garrity Vishu Gupta Aldo H.Romero Jaron T.Krogel Kayahan Saritas Addis Fuhr Panchapakesan Ganesh Paul R.C.Kent Keqiang Yan Yuchao Lin Shuiwang Ji Ben Blaiszik Patrick Reiser Pascal Friederich Ankit Agrawal Pratyush Tiwary Eric Beyerle Peter Minch Trevor David Rhone Ichiro Takeuchi Robert B.Wexler Arun Mannodi-Kanakkithodi Elif Ertekin Avanish Mishra Nithin Mathew Mitchell Wood Andrew Dale Rohskopf Jason Hattrick-Simpers Shih-Han Wang Luke E.K.Achenie Hongliang Xin Maureen Williams Adam J.Biacchi Francesca Tavazza Material Measurement Laboratory National Institute of Standards and TechnologyGaithersburgMD20899USA Department of Materials Science and Engineering University of Toronto27 King’s College CirTorontoONCanada Department of Electrical and Computer Engineering Northwestern UniversityEvanstonIL 60208USA Lewis-Sigler Institute for Integrative Genomics Princeton UniversityPrincetonNJ 08544USA Ludwig Institute for Cancer Research Princeton UniversityPrincetonNJ 08544USA Department of Physics and Astronomy West Virginia UniversityMorgantownWV 26506USA Materials Science and Technology Division Oak Ridge National LaboratoryOak RidgeTN 37831USA Center for Nanophase Materials Science Oak Ridge National LaboratoryOak RidgeTN 37831USA Computational Sciences and Engineering Division Oak Ridge National LaboratoryOak RidgeTN 37831USA Department of Computer Science and Engineering Texas A&M UniversityCollege StationTX 77843USA Globus University of ChicagoChicagoIL 60637USA Data Science and Learning Division Argonne National LabLemontIL 60439USA Institute of Nanotechnology Karlsruhe Institute of TechnologyKaiserstraße 1276131 KarlsruheGermany Institute of Theoretical Informatics Karlsruhe Institute of TechnologyKaiserstraße 1276131 KarlsruheGermany Department of Chemistry and Biochemistry and Institute for Physical Science and Technology University of MarylandCollege ParkMD 20742USA Department of Physics Applied Physics and AstronomyRensselaer Polytechnic InstituteTroyNY12180USA Department of Materials Science and Engineering University of MarylandCollege ParkMD20742USA Department of Chemistry and Institute of Materials Science and Engineering Washington University in St.LouisSt.LouisMO63130USA School of Materials Engineering Purdue UniversityWest LafayetteIN47907USA Department of Mechanical Science and Engineering University of Illinois Urbana-ChampaignUrbanaIllinois 61801USA Materials Research Laboratory University of Illinois Urbana-ChampaignUrbanaIL 61801USA Theore

Lack of rigorous reproducibility and validation are significant hurdles for scientific development across many *** science,in particular,encompasses a variety of experimental and theoretical approaches that require careful *** efforts have been developed previously to mitigate these ***,a comprehensive comparison and benchmarking on an integrated platform with multiple data modalities with perfect and defect materials data is still *** work introduces JARVIS-Leaderboard,an open-source and community-driven platform that facilitates benchmarking and enhances *** platform allows users to set up benchmarks with customtasks and enables contributions in the form of dataset,code,and meta-data *** cover the following materials design categories:Artificial Intelligence(AI),Electronic Structure(ES).

关键词： rigorous perfect enable

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Mathematical Analysis of a Non-Smooth Mosquitoes Control Model

Mathematical Analysis of a Non-Smooth Mosquitoes Control Mod...

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International Conference on Fractional Differentiation and Its Applications (ICFDA)

作者： Doaa M. Fawzy Ayman A. Arafa A. Elsaid W. K. Zahra Institute of Basic and Applied Sciences Egypt-Japan University of Science and Technology Alexandria Egypt Department of Engineering Mathematics and Physics Faculty of Engineering Fayoum University Fayoum Egypt Department of Mathematics Faculty of Science Sohag University Sohag Egypt Department of Mathematics and Engineering Physics Faculty of Engineering Mansoura University Mansoura Egypt Department of Engineering Physics and Mathematics Faculty of Engineering Tanta University Tanta Egypt

The sterilization method (SM) is a promising strategy for preventing the escalation of dengue fever, zika and malaria through controlling mosquitoes. A fractional-order SM non-smooth Filippov system with threshold policy control is proposed, which entails sterile mosquitoes releasing to control the population of wild mosquitoes. If the density of the wild population falls below a certain threshold, sterile release is prohibited. However, if the wild population exceeds the threshold, sterile mosquitoes are released. The dynamics of this model, including various types of equilibria existence and their stability, are investigated analytically and numerically. Sliding mode dynamics and pseudo-equilibrium are obtained by using the Filippov convex method; moreover, boundary node and boundary saddle bifurcations are discovered.

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A GENERALIZED EXPANSION METHOD FOR COMPUTING LAPLACE-BELTRAMI EIGENFUNCTIONS ON MANIFOLDS

arXiv

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arXiv 2022年

作者： Turner, Jackson C. Cherkaev, Elena Wang, Dong Department of Applied Physics and Applied Mathematics Columbia University New York City10027 United States Department of Mathematics University of Utah Salt Lake City84112 United States School of Science and Engineering The Chinese University of Hong Kong Guangdong Shenzhen518172 China Shenzhen International Center for Industrial and Applied Mathematics Shenzhen Research Institute of Big Data Guangdong518172 China

Eigendecomposition of the Laplace-Beltrami operator is instrumental for a variety of applications from physics to data science. We develop a numerical method of computation of the eigenvalues and eigenfunctions of the Laplace-Beltrami operator on a smooth bounded domain based on the relaxation to the Schrödinger operator with finite potential on a Riemannian manifold and projection in a special basis. We prove spectral exactness of the method and provide examples of calculated results and applications, particularly, in quantum billiards on *** Codes 65N25m, 47A70, 65N85, 35J05 © 2022, CC BY.

关键词： Eigenvalues and eigenfunctions

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Dynamics of an atom cavity field system in interacting Fock space

arXiv

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arXiv 2023年

作者： Das, P.K. Chatterjee, Arpita Physics and Applied Mathematics Unit Indian Statistical Institute 203 B. T. Road Kolkata700108 India Department of Mathematics J. C. Bose University of Science and Technology YMCA Faridabad India

In this paper, we investigate one-time passing of a V-type three-level atom through a single-mode interacting field in a cavity. We extend the idea of elementary Jaynes-Cummings model by assuming that the field vector belongs to interacting Fock space. In the process, we arrive at a state vector which will be analyzed to study the nonclassicality of the evolved state of the *** Codes 81V80 © 2023, CC BY.

关键词： Atoms

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XAI Based Cattle Identification with YOLO and SIFT Technique

XAI Based Cattle Identification with YOLO and SIFT Technique

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Future Machine Learning and data science (FMLDS), IEEE International Conference on

作者： Aashu Katharria Millie Pant Kusum Deep Indu Devi Mehta Family School of Data Science and Artificial Intelligence Indian Institute of Technology Roorkee Roorkee Uttarakhand India Applied Mathematics and Scientific Computing Indian Institute of Technology Roorkee Roorkee Uttarakhand India Department of Mathematics Indian Institute of Technology Roorkee Roorkee Uttarakhand India Livestock Production Management Division ICAR-National Dairy Research Institute Karnal Haryana India

ISBN: (数字)9798350391213

ISBN: (纸本)9798350391220

In precision livestock farming, accurate cattle identification is essential for enhancing animal welfare, health monitoring, and productivity, while also supporting traceability and minimizing false insurance claims. This paper presents a novel approach for cattle identification using muzzle prints, with a focus on both efficiency and explainability. Taxicab metric, employed for efficient annotation of muzzle patterns significantly reduces the labeling time for training of YOLOv8 model. YOLOv8 is utilized for detecting muzzle prints in images, followed by SIFT (Scale-Invariant Feature Transform) for feature extraction and matching. The incorporation of Explainable AI (XAI) methods, particularly Grad-CAM, further enhances the transparency and interpretability of the SIFT model.

关键词： YOLO Training Adaptation models Accuracy Annotations Transforms Cows Feature extraction data models Labeling

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Assessing the spectral characteristics of band splitting type II radio bursts observed by CALLISTO spectrometers

arXiv

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arXiv 2023年

作者： Minta, Felix N. Nozawa, Satoshi I. Kozarev, Kamen Elsaid, Ahmed Mahrous, Ayman Department of Space Environment Institute of Basic and Applied Sciences Egypt-Japan University of Science and Technology Alexandria21934 Egypt Department of Science Ibaraki University 2-1-1 Bunkyo Ibaraki Mito310-8512 Japan Institute of Astronomy with National Astronomical Observatory Bulgarian Academy of Sciences Sofia Bulgaria Department of Applied and Computational Mathematics Institute of Basic and Applied Sciences Egypt-Japan University of Science and Technology Alexandria Egypt Mathematics & Engineering Physics Department Faculty of Engineering Mansoura University MansouraPO 35516 Egypt

Metric type II radio bursts are usually early indicators of CME-driven shocks and other space weather phenomena in the solar corona. This paper presents a detailed investigation of the spectral properties of band splitting type II radio bursts and their association with sunspot number. Using type II radio bursts in a frequency range [20MHz -200MHz] observed by CALLISTO from 2010 to 2017, it was discovered that the analyzed type II shock height, magnetic field strength, CME/shock speed, and Alfvén speed synchronize with the trajectory of the solar cycle 24. Also, the study revealed that the onset of the declining phase of solar cycle 24 has the highest electron density. The analysis ascertained that the frequency of type II bursts depicts a bimodal distribution during the study period, with peaks in 2012 and 2015. Further, a good correlation (with correlation factor R = 0.87) was obtained between the estimated CME/shock speeds from the dynamic spectra and the associated CME speeds from SOHO/LASCO. Moreover, the study confirmed a significant correlation (R= ~0.8) between the absolute drift rates and the plasma frequency. Additionally, the study explored that ~60% of the type II radio bursts considered in this study emanated from the western longitudes. Hence, these findings emphasize that the temporal dynamics of the physical conditions of band splitting type II radio are essential parameters in space weather monitoring and forecasting. © 2023, CC BY-NC-ND.

关键词： Solar energy

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