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Liu, Yuxuan (author), Eeltink, Debbie (author), van den Bremer, T.S. (author), Adcock, Thomas A.A. (author)
Wave breaking is a complex physical process about which open questions remain. For some applications, it is critical to include breaking effects in phase-resolved envelope-based wave models such as the non-linear Schrödinger. A promising approach is to use machine learning to capture breaking effects. In the present paper we develop the...
journal article 2024
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Wang, Di (author), Ren, Anran (author), Yao, Mingchen (author), Hu, Bin (author), van der Meer, Walter (author), Liu, G. (author)
Drinking water biosafety has become an increasing concern for public health. Chlorination is widely used as the main disinfection strategy worldwide but has clear and well-known byproduct issues. The Netherlands has successfully demonstrated unchlorinated approach for almost 20 years but has not been widely adopted by other countries. To...
journal article 2024
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Liu, Bin (author), Wang, Q. (author), Pollin, Sofie (author)
This paper presents a novel transparent amplifying intelligent surface (TAIS) architecture for uplink enhancement in indoor-To-outdoor mmWave communications. The TAIS is an amplifier-based transmissive intelligent surface that can refract and amplify the incident signal, instead of only refracting it with adjustable phase shift by most...
journal article 2024
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Liu, Hanqing (author), Brahmi, Hatem (author), Boix-Constant, Carla (author), van der Zant, H.S.J. (author), Steeneken, P.G. (author), Verbiest, G.J. (author)
Heat transport in two dimensions is fundamentally different from that in three dimensions. As a consequence, the thermal properties of 2D materials are of great interest, from both scientific and application points of view. However, few techniques are available for the accurate determination of these properties in ultrathin suspended...
journal article 2024
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Zhu, H. (author), Liu, E. (author), You, Fangzhou (author), de Bont, Cees (author), Gruber, Thorsten (author), Dong, Hua (author), Melles, M. (author)
Economic studies have shown that living in poverty may produce a subjective feeling of scarcity, which affects people's cognitive functions and decision-making. Understanding this mechanism could inform healthcare designers on designing inclusive health interventions by considering the psychological scarcity and limited cognitive resources of...
book chapter 2024
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Zhang, S. (author), Li, Yuhang (author), Bannenberg, L.J. (author), Liu, Ming (author), Ganapathy, S. (author), Wagemaker, M. (author)
Formation cycling is a critical process aimed at improving the performance of lithium ion (Li-ion) batteries during subsequent use. Achieving highly reversible Li-metal anodes, which would boost battery energy density, is a formidable challenge. Here, formation cycling and its impact on the subsequent cycling are largely unexplored. Through...
journal article 2024
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Liu, Z. (author), van Veen, E.N.W. (author), Sanchez González, H. (author), Solano Hermosilla, B.P. (author), Palmero Moya, F.J.P.M. (author), Mc Cluskey, K.A. (author), Ramirez Montero, D.F. (author), van Laar, T. (author), Dekker, N.H. (author)
Integrated single-molecule force-fluorescence spectroscopy setups allow for simultaneous fluorescence imaging and mechanical force manipulation and measurements on individual molecules, providing comprehensive dynamic and spatiotemporal information. Dual-beam optical tweezers (OT) combined with a confocal scanning microscope form a force...
journal article 2024
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Ren, S. (author), Liu, X. (author), Erkens, S. (author)
This study implements molecular dynamics (MD) simulations to explore the atomic-level energy properties of rejuvenated bitumen, considering the influence of different recycling agent (RA) types, dosages and aging levels of bitumen. Moreover, the potential correlations between energy indices and high-temperature performance of rejuvenated bitumen...
journal article 2024
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Liu, X. (author), Bharos, N.P. (author), Markovich, L. (author), Borregaard, J. (author)
Generating entanglement between distributed network nodes is a prerequisite for the quantum internet. Entanglement distribution protocols based on high-dimensional photonic qudits enable the simultaneous generation of multiple entangled pairs, which can significantly reduce the required coherence time of the qubit registers. However, current...
journal article 2024
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Wang, X. (author), Corzo, Gerald (author), Lü, Haishen (author), Zhou, Shiliang (author), Mao, K. (author), Zhu, Yonghua (author), Duarte Prieto, F.S. (author), Liu, Mingwen (author), Su, Jianbin (author)
Sub-seasonal drought forecasting is crucial for early warning in estimating agricultural production and optimizing irrigation management, as forecasting skills are relatively weak during this period. Soil moisture exhibits stronger persistence compared to other climate system quantities, which makes it especially influential in shaping land...
journal article 2024
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Xie, Weihang (author), Deng, Zeyu (author), Liu, Zhengyu (author), Famprikis, T. (author), Butler, Keith T. (author), Canepa, Pieremanuele (author)
Extended defects, including exposed surfaces and grain boundaries (GBs), are critical to the properties of polycrystalline solid electrolytes in all-solid-state batteries (ASSBs). These defects can alter the mechanical and electronic properties of solid electrolytes, with direct manifestations in the performance of ASSBs. Here, by building a...
journal article 2024
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Li, Z. (author), Wang, L. (author), Liu, R. (author), Mirzadarani, R. (author), Luo, T. (author), Lyu, D. (author), Ghaffarian Niasar, M. (author), Qin, Z. (author)
Traditional methods such as Steinmetz's equation (SE) and its improved variant (iGSE) have demonstrated limited precision in estimating power loss for magnetic materials. The introduction of Neural Network technology for assessing magnetic component power loss has significantly enhanced accuracy. Yet, an efficient method to incorporate detailed...
journal article 2024
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Shan, Meixia (author), Zhang, Jingjing (author), Cong, Shenzhen (author), Zhang, Yatao (author), He, Xuezhong (author), Kapteijn, F. (author), Liu, X. (author)
Separation of hydrogen from carbon dioxide for sustainable H<sub>2</sub> production and CO<sub>2</sub> capture still faces great challenges due to the smaller size of H<sub>2</sub> and higher condensability of CO<sub>2</sub>. Herein, a high-performance benzimidazole-linked polymer (BILP) membrane for hydrogen separation was directly prepared...
journal article 2024
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Grandjean, Tim J. (author), Weenink, Roland (author), van der Wal, Daphne (author), Addink, Elisabeth A. (author), Hu, Zhan (author), Liu, Shuai (author), Wang, Zhengbing (author), Lin, Yuan (author), Bouma, Tjeerd J. (author)
Tidal flats are shrinking in extent globally. The dynamics of the response of estuarine tidal flats to global environmental changes remain unclear. Tidal-flat morphology is shaped by the interplay among wave and tidal forces, river discharge and sediment supply, and preservation of tidal flats requires a balance between erosional and...
journal article 2024
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Han, Jie (author), Mo, Nan (author), Cai, Jingyi (author), Ouyang, Leixin (author), Liu, Zhengxuan (author)
The local climate zones (LCZs) classification system has emerged as a more refined method for assessing the urban heat island (UHI) effect. However, few researchers have conducted systematic critical reviews and summaries of the research on LCZs, particularly regarding significant advancements of this field in recent years. This paper aims to...
review 2024
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Liu, J. (author), Borja, Pablo (author), Della Santina, C. (author)
This work concerns the application of physics-informed neural networks to the modeling and control of complex robotic systems. Achieving this goal requires extending physics-informed neural networks to handle nonconservative effects. These learned models are proposed to combine with model-based controllers originally developed with first...
journal article 2024
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Gao, Y. (author), Liu, X. (author), Ren, S. (author), Assaf Martinez-Streignard, E.I. (author), Liu, Pengfei (author), Zhang, Yuqing (author)
Bitumen fatigue resistance is critical to determine the overall fatigue performance and service life of asphalt pavements. However, the mechanisms responsible for fatigue damage of bitumen have previously not been well understood. Molecular dynamics (MD) simulation has recently emerged as a powerful computer-aided numerical technique to model...
journal article 2024
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Assaf Martinez-Streignard, E.I. (author), Liu, X. (author), Lin, P. (author), Erkens, S. (author)
This paper presents a United Atom (UA) force field for simulating hydrocarbon molecules in bituminous materials, integrating explicit hydrogens into beads with their parent atom. This method simplifies all-atom molecular models, significantly accelerating Molecular Dynamics (MD) simulations of bitumen by 10 to 100 times. Key advantages...
journal article 2024
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Zhang, Zhenya (author), Mao, Jia (author), Liu, Zhengxuan (author)
In response to the growing global demand for clean and sustainable energy solutions, proton exchange membrane fuel cells (PEMFCs) have emerged as vital components in diverse decarbonization strategies. Despite their increasing importance, a comprehensive synthesis of recent advancements, challenges, and future prospects in thermal and water...
journal article 2024
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Assaf Martinez-Streignard, E.I. (author), Liu, X. (author), Lin, P. (author), Erkens, S. (author)
The advent of computational techniques, particularly atomistic simulations, has lessened the dependency on physical experiments in various scientific fields. Yet, the preparation complexity for simulations using platforms like LAMMPS and GROMACS persists. We introduce SMI2PDB, a Python tool that automates molecular systems assembly from SMILES...
journal article 2024
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