Influence of humidity on the resistive switching of hexagonal boron nitride-based memristors by Lukas Völkel, Rana Walied Ahmad, Alana Bestaeva, Dennis Braun, Sofia Cruces, Jimin Lee, Sergej Pasko, Simonas Krotkus, Michael Heuken, Stephan Menzel, Max C. Lemme

“…However, their surrounding atmosphere can influence their behavior. In this work, we investigate the resistive switching behavior of hexagonal boron nitride-based memristors with active nickel electrodes under vacuum conditions. …”
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Fluidisation of spherocylindrical particles: computational fluid dynamics–Discrete element method simulation and experimental investigation by Ling Zhou, Bo Wang, Yupeng Cao, Zhenjiang Zhao, Ramesh Agarwal

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Wake vortex evolution analysis of trapezoidal wings with varied flap configurations based on the Liutex method by Jinyan Cai, Dong Li, Qiang Li, Jiaolin Cui, Ziming Xu, Gang Wang, Dawei Liu

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Optimizing BFloat16 Deployment of Tiny Transformers on Ultra-Low Power Extreme Edge SoCs by Alberto Dequino, Luca Bompani, Luca Benini, Francesco Conti

“…This work proposes a methodology to reduce Transformer dimensions with an extensive pruning search. …”
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Vortex induced vibration of a deformable cylinder for wide lock-in range energy harvesting by Ahmed Raafat, Mohamed Kamra, Saeed Al Nuaimi

“…Existing solutions like tunable masses or multiple degrees of freedom systems increase complexity and weight, limiting practical applications. This work introduces a novel variable-diameter cylinder mechanism–a practical technique that actively tunes the cylinder's geometry in real time to enhance energy harvesting efficiency from VIV. …”
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Comprehensive analysis and identification of energy performance and unsteady two-phase flow patterns based on experiments and comparison between two distinct multiphase flow models by Asad Ali, Jianping Yuan, Qiaorui Si, Shahzad Iqbal, Yuan Shouqi, Yolandani Yolandani, Ibra Fall

“…Moreover, it can more accurately capture the phase slippage inside ESP under two-phase flow. Additionally, this work provides a vision to the broad-applicability of Eulerian-model for complicated machinery such as ESP.…”
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Analysis of chemical reactive nanofluid flow on stretching surface using numerical soft computing approach for thermal enhancement by Saleem Nasir, Abdallah S. Berrouk, Taza Gul

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Three-dimensional flow structure in a confluence-bifurcation unit by Di Wang, Xiaoyong Cheng, Zhixian Cao, Jinyun Deng

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Assessment and improvement of rainfall environment reproduction for climatic wind tunnel by Yingchao Zhang, Jinji Li, Zhe Zhang, Weiping Yuan, Jialong Zhou, Chun Shen, Chengchun Zhang

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A conjugated heat and mass transfer model to implement reaction in particle-resolved CFD simulations of catalytic fixed bed reactors by Martin Kutscherauer, Scott D. Anderson, Sebastian Böcklein, Gerhard Mestl, Thomas Turek, Gregor D. Wehinger

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Hardware/Software Co-Design Optimization for Training Recurrent Neural Networks at the Edge by Yicheng Zhang, Bojian Yin, Manil Dev Gomony, Henk Corporaal, Carsten Trinitis, Federico Corradi

“…Moreover, this work incorporates the optimization and exploration of a scalable digital hardware architecture using an open-source hardware-design framework, named Chipyard and its implementation on a Field-Programmable Gate Array (FPGA) for cycle-accurate verification. …”
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Modelling flame-to-fuel heat transfer by deep learning and fire images by Caiyi Xiong, Zilong Wang, Xinyan Huang

“…Regardless of growing or decaying fires or puffing flames induced by buoyancy, this method can further predict the non-uniform distribution of heat transfer coefficient on the interface rather than using empirical correlations. This work demonstrates the use of AI and computer vision in accelerating numerical fire simulation, which helps simulate complex fire behaviours with simpler models and smaller computational costs.Highlights A total framework between AI model and fire simulation software is designed to further enhance the reliability of AI-based fire simulations.A standard pool fire simulation database is built using numerical model recommend by the IAFSS Computation Group.A deep learning model is developed to predict both the convective and radiative heat flux distributions on the condensed fuel surface using numerical images database.The demonstration showcases the application of AI and computer vision to accelerate numerical fire simulation.…”
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Predicting layer thicknesses by numerical simulation for meniscus-guided coating of organic photovoltaics by Fabian Gumpert, Annika Janßen, Christoph J. Brabec, Hans-Joachim Egelhaaf, Jan Lohbreier, Andreas Distler

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Improved flow prediction of non-ideal sonic nozzles by CFD-based surrogate modelling by Sebastian Weiss, Bodo Mickan, Kilian Oberleithner, Markus Bär, Sonja Schmelter

“…Consequently, the resulting non-ideal nozzle shapes can have a considerable influence on the flow rate. In this work, a computational fluid dynamics-based surrogate model is developed for flow prediction in non-ideally shaped sonic nozzles. …”
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Machine Learning Using Approximate Computing by Padmanabhan Balasubramanian, Syed Mohammed Mosayeeb Al Hady Zaheen, Douglas L. Maskell

“…This work analyzes the application of approximate computing for machine learning, specifically focusing on k-means clustering, one of the more widely used unsupervised machine learning algorithms. …”
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Godunov-type scheme for air–water transient pipe flow considering variable heat transfer and laboratorial validation by Ling Zhou, Qian-Xun Chen, Yun-Jie Li, Rui-Lin Feng, Zi-Jian Xue

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Computational study and prediction of infection risk probability of respiratory diseases inside a classroom by Oskar Urbina-Garcia, Iñigo Aramendia, Carolina Marugán-Cruz, Wilfried Coenen, Sergio Sánchez-Delgado, Unai Fernandez-Gamiz, Ekaitz Zulueta

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DRLinSPH: an open-source platform using deep reinforcement learning and SPHinXsys for fluid-structure-interaction problems by Mai Ye, Hao Ma, Yaru Ren, Chi Zhang, Oskar J. Haidn, Xiangyu Hu

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Self-Stabilization of Grid-Connected Inverters by Means of an Impedance-Based Adaptive Controller by Joel Filipe Guerreiro, Tiago Davi Curi Busarello, Hildo Guillardi, Igor Alves Maronni, Jose De A. Olimpio Filho, Helmo K. Morales Paredes, Jose A. Pomilio

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Oscillatory flow driven microdroplet breakup dynamics and microparticle formation in LMPA-water two phase flow system by Yanhong Guo, Yong Liu, Tuo Hou, Xinyu Zhang, Jiayun Gao, Jun He, Chengbo Wang, Jing Wang, Qingsen Zhao, Yue Chan, Yong Ren

“…It will open up for a diversity of applications of LMPA microparticles in various fields such as energy storage and thermal management.…”
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