Searched for: subject%253A%2522Modelling%2522
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Li, Wenyu (author), Chen, Wei (author), Jiang, Jing (author), Tang, H. (author), Fan, J. (author)
Double-sided packages for heat dissipation are an efficient thermal management mechanism for power semiconductor devices. A fan-out panel-level packaging (FOPLP), as one of the double-sided forms, exhibits excellent electro–thermal characteristics and provides low stray inductance and thermal resistance. Besides, the temperature at each point...
journal article 2023
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JunSu, Kim (author), Seong-Mee, Hwang (author), Hyunjin, Park (author), Tang, Y. (author), Won-Seon, Seo (author), Chae Woo, Ryu (author), Heesun, Yang (author), Weon Ho, Shin (author), Hyun-Sik, Kim (author)
SnSe is a promising thermoelectric material due to its low toxicity, low thermal conductivity, and multiple valence band structures, which are ideal for high electronic transport properties. The multiple valence band structure has attracted many attempts to engineer the carrier concentration of the SnSe via doping, to place its fermi level at...
journal article 2023
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Tang, Shi Yuan (author), Irissappane, Athirai A. (author), Oliehoek, F.A. (author), Zhang, Jie (author)
Typically, a Reinforcement Learning (RL) algorithm focuses in learning a single deployable policy as the end product. Depending on the initialization methods and seed randomization, learning a single policy could possibly leads to convergence to different local optima across different runs, especially when the algorithm is sensitive to hyper...
journal article 2023
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Tang, Jian (author), Kumar, Siddhant (author), De Lorenzis, Laura (author), Hosseini, Ehsan (author)
We propose Neural Cellular Automata (NCA) to simulate the microstructure development during the solidification process in metals. Based on convolutional neural networks, NCA can learn essential solidification features, such as preferred growth direction and competitive grain growth, and are up to six orders of magnitude faster than the...
journal article 2023
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Tang, Y. (author), Zhu, H. (author), Potters, Susan (author), Wisse, M. (author), Pan, W. (author)
This letter addresses the problem of pushing manipulation with nonholonomic mobile robots. Pushing is a fundamental skill that enables robots to move unwieldy objects that cannot be grasped. We propose a stable pushing method that maintains stiff contact between the robot and the object to avoid consuming repositioning actions. We prove that...
journal article 2023
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Tang, Tie Qiao (author), Nicolas, Alexandre (author), Lee, Seungjae (author), Daamen, W. (author), Song, Ziqi (author)
In the study of pedestrian dynamics, the consideration of group behaviours is essential, as group interaction within crowds is a common phenomenon and significantly influences pedestrian behaviours. This special issue highlights the importance of pedestrian group behaviours and examines the subject using a wide range of methods, such as...
contribution to periodical 2023
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Kumar, Abhinav (author), Tang, T. (author), Gupta, Ankit (author), Anupam, K. (author)
A critical review of lab and field measurement methodologies, harmonization in measuring techniques, and modelling of skid resistance of asphalt concrete pavement have been provided. Although several past studies have provided literature review on general topics of skid resistance, to the best of the author's knowledge, none of them have...
journal article 2023
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Haringa, C. (author), Tang, W. (author), Noorman, H.J. (author)
The compartment model (CM) is a well-known approach for computationally affordable, spatially resolved hydrodynamic modeling of unit operations. Recent implementations use flow profiles based on Computational Fluid Dynamics (CFD) simulations, and several authors included microbial kinetics to simulate gradients in bioreactors. However, these...
journal article 2022
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Jánoska, A. (author), Verheijen, Jelle J. (author), Tang, W. (author), Lee, Queenie (author), Sikkema, Baukje (author), van Gulik, W.M. (author)
In large-scale bioreactors, there is often insufficient mixing and as a consequence, cells experience uneven substrate and oxygen levels that influence product formation. In this study, the influence of dissolved oxygen (DO) gradients on the primary and secondary metabolism of a high producing industrial strain of Penicillium chrysogenum was...
journal article 2022
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Bešinović, Nikola (author), Wang, Yihui (author), Zhu, Songwei (author), Quaglietta, E. (author), Tang, Tao (author), Goverde, R.M.P. (author)
In big cities, the metro lines usually face great pressure caused by huge passengers demand, especially during peak hours. When disruptions occur, passengers accumulate quickly at stations. It is of great importance for dispatchers to take passenger flow control into consideration for the traffic management to ensure passengers' safety and to...
journal article 2021
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Tang, T. (author), Ghorbani, Amineh (author), Chorus, C.G. (author)
In the field of opinion dynamics, the hiding of opinions is routinely modeled as staying silent. However, staying silent is not always feasible. In situations where opinions are indirectly expressed by one’s observable actions, people may however try to hide their opinions via a more complex and intelligent strategy called obfuscation, which...
journal article 2021
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Liu, Yubo (author), Zhang, Chi (author), Tang, Qiuhong (author), Hosseini-Moghari, Seyed Mohammad (author), Haile, Gebremedhin Gebremeskel (author), Li, Laifang (author), Li, Wenhong (author), Yang, Kun (author), van der Ent, R.J. (author), Chen, Deliang (author)
Rainfall is one of the most influential climatic factors on regional development and environment, and changes in rainfall intensity are of specific concern. In the Huaihe River Valley (HRV), heavy rainfall is a primary trigger of floods. However, the difference in the origin of moisture contributed to heavy rainfall and light rainfall is...
journal article 2021
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Zou, Sheng (author), Xiao, Hanbin (author), Ye, Fangping (author), Li, Z. (author), Tang, Wenzhi (author), Zhu, Feng (author), Chen, Chentong (author), Zhu, Chao (author)
The inevitably formed residual stress in the Selective Laser Melting (SLM) process leads to distortion, crack and even delamination of the workpiece. Single laser is commonly applied during SLM processing. However, its productivity is much lower than multiple lasers. In addition, the research of residual stress with multi-laser condition...
journal article 2020
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Xu, Junzhong (author), Gao, Fei (author), Soeiro, Thiago B. (author), Chen, Linglin (author), Tarisciotti, Luca (author), Tang, Houjun (author), Bauer, P. (author)
The implementation of traditional finite-control-set model predictive control (FCS-MPC) with variable switching frequency in voltage source rectifiers (VSRs) can make the system suffer from poor current harmonics performance. In fact, the resulting wide-spread voltage harmonic generated at the AC terminals makes the design of the typical multi...
conference paper 2020
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Xu, Junzhong (author), Gao, Fei (author), Soeiro, Thiago B. (author), Chen, Linglin (author), Tarisciotti, Luca (author), Tang, Houjun (author), Bauer, P. (author)
In the applications of three-phase two-level voltage source inverters (VSIs) relatively large energy storage capacitors are used to absorb the high DC-link current ripples mainly caused by the circulating reactive power, the switched AC phase current flowing to the DC-link, and other dynamic and/or asymmetric operating conditions. Especially for...
conference paper 2020
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Tang, J. (author)
Foam has unique microstructure in pore networks and reduces gas mobility significantly, which improves considerably the sweep efficiency of gas injection. Foam injection is thus regarded as a promising enhanced oil recovery (EOR) technology. One key to success of foam EOR is foam stability in presence of oil. This thesis seeks to understand...
doctoral thesis 2019
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Han, Rui (author), Liu, Chi Harold (author), Li, Shilin (author), Chen, Lydia Y. (author), Wang, Guoren (author), Tang, Jian (author), Ye, Jieping (author)
The core of many large-scale machine learning (ML) applications, such as neural networks (NN), support vector machine (SVM), and convolutional neural network (CNN), is the training algorithm that iteratively updates model parameters by processing massive datasets. From a plethora of studies aiming at accelerating ML, being data...
journal article 2019
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Tang, T. (author), Chorus, C.G. (author)
Opinion dynamics models are based on the implicit assumption that people can observe the opinions of others directly, and update their own opinions based on the observation. This assumption significantly reduces the complexity of the process of learning opinions, but seems to be rather unrealistic. Instead, we argue that the opinion itself is...
journal article 2019
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Haringa, C. (author), Tang, W. (author), Wang, G. (author), Deshmukh, A.T. (author), van Winden, Wouter A. (author), Chu, Ju (author), van Gulik, W.M. (author), Heijnen, J.J. (author), Mudde, R.F. (author), Noorman, H.J. (author)
We assess the effect of substrate heterogeneity on the metabolic response of P. chrysogenum in industrial bioreactors via the coupling of a 9-pool metabolic model with Euler-Lagrange CFD simulations. In this work, we outline how this coupled hydrodynamic-metabolic modeling can be utilized in 5 steps. (1) A model response study with a fixed...
journal article 2018
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Tang, X. (author)
The reliable removal of acid gas components, such as carbon dioxide (CO2) and hydrogen sulfide (H2S) from natural gas is an important technical challenge. Crude oil and hydrocarbon gas streams may contain high levels of CO2 and/or H2S as contaminants. It is desirable to prevent any contaminant to reach the surface, or to considerably reduce the...
doctoral thesis 2011
Searched for: subject%253A%2522Modelling%2522
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