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Kapoor, T. (author), Wang, H. (author), Nunez, Alfredo (author), Dollevoet, R.P.B.J. (author)This paper proposes a novel framework for simulating the dynamics of beams on elastic foundations. Specifically, partial differential equations modeling Euler–Bernoulli and Timoshenko beams on the Winkler foundation are simulated using a causal physics-informed neural network (PINN) coupled with transfer learning. Conventional PINNs encounter...journal article 2024
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Liu, Guiwen (author), Huang, Ruopeng (author), Li, Kaijian (author), Shrestha, Asheem (author), Wang, H. (author), Cai, Minhong (author)The renewal of old communities (OCR) is a crucial component of China's urban renewal strategy. However, the huge funding gap, coupled with the unwillingness of enterprises to participate, has impeded the sustainable development of OCR in China. This issue has become a major practical challenge for the government. This study employed the...journal article 2024
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Zhang, S. (author), Hanjalic, A. (author), Wang, H. (author)Nodal spreading influence is the capability of a node to activate the rest of the network when it is the seed of spreading. Combining nodal properties (centrality metrics) derived from local and global topological information respectively has been shown to better predict nodal influence than using a single metric. In this work, we investigate...journal article 2024
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Wang, H. (author), Tao, Jie (author), Wu, Zhangyu (author), Weiland, K.M. (author), Wang, Zuankai (author), Masania, K. (author), Wang, B. (author)Organic polymer-based composite materials with favorable mechanical performance and functionalities are keystones to various modern industries; however, the environmental pollution stemming from their processing poses a great challenge. In this study, by finding an autonomous phase separating ability of fungal mycelium, a new material...journal article 2024
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Kapoor, T. (author), Chandra, Abhishek (author), Tartakovsky, Daniel M. (author), Wang, H. (author), Nunez, Alfredo (author), Dollevoet, R.P.B.J. (author)A primary challenge of physics-informed machine learning (PIML) is its generalization beyond the training domain, especially when dealing with complex physical problems represented by partial differential equations (PDEs). This paper aims to enhance the generalization capabilities of PIML, facilitating practical, real-world applications where...journal article 2024
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Song, Yang (author), Wang, H. (author), Frøseth, Gunnstein (author), Nåvik, Petter (author), Liu, Zhigang (author), Rønnquist, Anders (author)The interaction performance of the pantograph-catenary is of great importance as it directly determines the current collection quality and operational safety of trains. The finite element method (FEM) is dominantly used for simulating pantograph-catenary interaction, which is normally computationally heavy. In this work, addressing the...journal article 2023
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Yan, J. (author), Stickel, L.S. (author), van den Hengel, L. (author), Wang, H. (author), Ravi Anusuyadevi, P. (author), Kooijman, A.M. (author), Liu, X. (author), Ibrahim, B. (author), Mol, J.M.C. (author), Taheri, P. (author), Mazzarella, L. (author), Isabella, O. (author), Savenije, T.J. (author)The preferential orientation of the perovskite (PVK) is typically accomplished by manipulation of the mixed cation/halide composition of the solution used for wet processing. However, for PVKs grown by thermal evaporation, this has been rarely addressed. It is unclear how variation in crystal orientation affects the optoelectronic properties of...journal article 2023
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Yan, J. (author), Zhao, J. (author), Wang, H. (author), Kerklaan, Mels (author), Bannenberg, L.J. (author), Ibrahim, B. (author), Savenije, T.J. (author), Mazzarella, L. (author), Isabella, O. (author)Multiple-source thermal evaporation is emerging as an excellent technique to obtain perovskite (PVK) materials for solar cell applications due to its solvent-free processing, accurate control of stoichiometric ratio, and potential for scalability. Nevertheless, the currently reported layer-by-layer deposition approach is afflicted by long...review 2023
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Zeng, Cheng (author), Huang, Jinsong (author), Wang, H. (author), Xie, Jiawei (author), Zhang, Yuting (author)Reliable estimation of rail useful lifetime can provide valuable information for predictive maintenance in railway systems. However, in most cases, lifetime data is incomplete because not all pieces of rail experience failure by the end of the study horizon, a problem known as censoring. Ignoring or otherwise mistreating the censored cases...journal article 2023
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Yin, Xilin (author), Wang, H. (author), Pisano, F. (author), Gavin, Kenneth (author), Askarinejad, A. (author), Zhou, Hongpeng (author)Predicting the non-linear loading response is the key to the design of suction caissons. This paper presents a systematic study to explore the applicability of deep learning techniques in foundation design. Firstly, a series of three-dimensional finite element simulations was performed, covering a wide range of embedment ratios and different...journal article 2023
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Wang, H. (author), Lehane, B. M. (author), Bransby, M. F. (author), Wang, L. Z. (author), Hong, Y. (author), Askarinejad, A. (author)This paper presents a synthesis of recent and new research conducted by the authors on laterally loaded monopiles in drained sand. The research involved reduced-scale field tests, centrifuge model tests, finite element (FE) simulations and comparisons of design approaches with published experimental data. The influence of the monopile base on...journal article 2023
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Tongjing, Wang (author), Meijers, E.J. (author), Bao, Ziyu (author), Wang, H. (author)Compared to the burgeoning literature discussing the importance of agglomeration externalities for development, limited attention has been given to network externalities. This is largely due to limited data availability. We propose a general measure to proxy city network externalities based on toponym co-occurrences that indicate the...journal article 2023
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Kapoor, T. (author), Wang, H. (author), Nunez, Alfredo (author), Dollevoet, R.P.B.J. (author)This article proposes a new framework using physics-informed neural networks (PINNs) to simulate complex structural systems that consist of single and double beams based on Euler–Bernoulli and Timoshenko theories, where the double beams are connected with a Winkler foundation. In particular, forward and inverse problems for the Euler–Bernoulli...journal article 2023
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Ren, S. (author), Liu, X. (author), Gao, Y. (author), Jing, R. (author), Lin, P. (author), Erkens, S. (author), Wang, H. (author)This study aims to multiscale investigate the effects of rejuvenator type, temperature, and aging degree of bitumen on the diffusion behaviors of rejuvenators (bio-oil BO, engine-oil EO, naphthenic-oil NO, and aromatic-oil AO) in aged binders. The molecular dynamics (MD) simulation method is performed to detect the molecular-level diffusion...journal article 2023
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Fernández Robledo, O. (author), Klepper, M. (author), van Boven, E.F.M. (author), Wang, H. (author)Community detection of temporal (time-evolving) bipartite networks is challenging because it can be performed either on the temporal bipartite network, or on various projected networks, composed of only one type of nodes, via diverse community detection algorithms. In this paper, we aim to systematically design detection methods addressing...conference paper 2023
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Guo, R. (author), Chen, C. (author), Bannenberg, L.J. (author), Wang, H. (author), Liu, Haozhe (author), Yu, Minghao (author), Sofer, Zdenek (author), Lei, Zhibin (author), Wang, Xuehang (author)Limited Li resources, high cost, and safety risks of using organic electrolytes have stimulated a strong motivation to develop non-Li aqueous batteries. Aqueous Zn-ion storage (ZIS) devices offer low-cost and high-safety solutions. However, their practical applications are at the moment restricted by their short cycle life arising mainly from...review 2023
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Zou, L. (author), Ceria, A. (author), Wang, H. (author)Temporal networks are networks whose topology changes over time. Two nodes in a temporal network are connected at a discrete time step only if they have a contact/interaction at that time. The classic temporal network prediction problem aims to predict the temporal network one time step ahead based on the network observed in the past of a...journal article 2023
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Zou, L. (author), Wang, An (author), Wang, H. (author)Temporal networks are networks like physical contact networks whose topology changes over time. Predicting future temporal network is crucial e.g., to forecast and mitigate the spread of epidemics and misinformation on the network. Most existing methods for temporal network prediction are based on machine learning algorithms, at the expense...conference paper 2023
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Leibbrandt, Louise (author), Zhang, S. (author), Roelvink, M.A.T. (author), Bergkamp, Stan (author), Li, Xinqi (author), Bisschop, Lieselot (author), Wingerde, Karin van (author), Wang, H. (author)This paper aims to understand to what extent the amount of drug (e.g., cocaine) trafficking per country can be explained and predicted using the global shipping network. We propose three distinct network approaches, based on topological centrality metrics, Susceptible-Infected-Susceptible spreading process and a flow optimization model of...conference paper 2023
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Ceria, A. (author), Wang, H. (author)Human social interactions are typically recorded as time-specific dyadic interactions, and represented as evolving (temporal) networks, where links are activated/deactivated over time. However, individuals can interact in groups of more than two people. Such group interactions can be represented as higher-order events of an evolving network....journal article 2023