DR-NTU (Data) (Nanyang Technological University)
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Related data for: Magnetic template-assisted construction of 2D PCN/TiO2 heterostructures for efficient photocatalytic hydrogen generation
No full textRelated data for: Magnetic template-assisted construction of 2D PCN/TiO2 heterostructures for efficient photocatalytic hydrogen generatio
Related Data for: Comparative analysis of floristic composition, leaf traits, and soil dynamics in coexisting peat and kerangas forest ecosystems
No full textThis dataset contains the field data and R code used to generate the figures, tables, and findings presented in the manuscript titled "Comparative analysis of floristic composition, leaf traits, and soil dynamics in coexisting peat and kerangas forest ecosystems.
Related Data for: Accelerating Fluid Simulations with Graph Convolution Network Predicted Flow Fields
No full textThe field of computational fluid dynamics (CFD) is integral to engineering disciplines,
particularly for designing systems that operate under complex fluid flow conditions. Accurate simulation of flow fields is essential for optimizing performance across a variety of applications, including aviation, automotive, marine, and renewable energy sectors. Recent advancements in deep learning, particularly graph convolution networks (GCNs), offer promising alternatives for improving simulation processes.
This work introduces a novel approach to accelerating fluid simulations using GCNs for flow field initialization. In this dataset repository, over 2000 sets of RANS simulation results of various NACA airfoil shapes and flow conditions are presented to demonstrate that GCN-based initialization significantly reduces computational resources while maintaining high accuracy, achieving a 30%--50% reduction in simulation time compared to the conventional CFD initialization method
Replication Data for: Switchable non-Hermitian skin effect in Bogoliubov modes
No full textReplication Data for "Switchable non-Hermitian skin effect in Bogoliubov modes
Related Data for: Explainable AI for Property Prediction in Scrap-Based Steel Production: A Public Data Implementation
No full text
This folder contains the supplementary information for the conference paper "Explainable AI for Property Prediction in Scrap-Based Steel Production: A Public Data Implementation"
The datasets used are publicly available and referenced in the following:
1. Guo, S., Yu, J., Liu, X., Wang, C., & Jiang, Q. (2019). A predicting model for properties of steel using the industrial big data based on machine learning. Computational Materials Science, 160, 95-104.https://doi.org/10.17632/f6zsvbf28y.1
2. Dunn, A., Wang, Q., Ganose, A., Dopp, D., & Jain, A. (2020). Benchmarking materials property prediction methods: the Matbench test set and Automatminer reference algorithm. npj Computational Materials, 6(1), 138. https://www.nature.com/articles/s41524-020-00406-3
3. MatNavi: Kong H. MatNavi: Mechanical properties of low-alloy steels; 2022. Accessed: 2025-05-09. https://www.kaggle.com/datasets/konghuanqing/matnavi-mechanical-properties-of-lowalloy-steels
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Calculation data for: Synthesis of Machine Learning-Predicted Cs2PbSnI6 Double Perovskite Nanocrystals
No full textCalculation data for: "Synthesis of Machine Learning-Predicted Cs2PbSnI6 Double Perovskite Nanocrystals
Ultrafast Control of Néel Vector in Collinear Antiferromagnet MnPt
No full textExchange-bias-coupled spintronic terahertz emitters (EBC-STEs) utilize antiferromagnets (AFMs) as passive pinning layers for ferromagnetic spins and as detectors of spin currents. Conventionally, terahertz (THz) emission from STEs is attributed solely to the ferromagnetic subsystem, with the ultrafast magnetization dynamics of AFM considered undetectable due to its zero magnetic moment. Here, we propose a novel experimental approach to probe the ultrafast control and detection of magnetization dynamics driven by laser-induced optical torque on the Néel vector in collinear AFM MnPt. We isolate the underlying Néel vector dynamics from the ferromagnetic magnetization dynamics by transducing the canted magnetic moment into a distinct THz signal, which is confirmed by the emission observed in Pt/MnPt. We further demonstrate the exceptional robustness of the exchange bias under optical excitation. This work provides the first direct evidence of ultrafast AFM magnetization dynamics in an EBC-STE, transforming it from a passive emitter into a sensitive probe of interfacial ultrafast magnetism and unlocking the potential of antiferromagnetic THz spintronics
Replication Data for: Multifunctional Electronics Enabled by Ion-Based Organic Electrochemical Transistor with Large Threshold Voltage Tunability Window
No full textThis dataset contains the original data for Multifunctional Electronics Enabled by Ion-Based Organic Electrochemical Transistor with Large Threshold Voltage Tunability Window published in ACS Nan
Replication Data for: Low-Threshold Superfluorescence and Phase Dynamics in Quasi-2D Metal Halide Perovskite Thin Films
No full textSuperfluorescence (SF) is a cooperative quantum emission process characterized by intense, ultrafast bursts of light, with promising applications in quantum photonics. In solid-state systems, SF typically requires cryogenic conditions, with quasi-2D hybrid metal halide perovskites being a notable exception where room-temperature SF has been reported. However, the mechanisms enabling high-temperature SF in these materials remain poorly understood, and the distinction between SF and amplified spontaneous emission (ASE) is often overlooked. Here, SF in hybrid quasi-2D perovskite phenylbutylammonium cesium lead bromide (PBA:CsPbBr3) is reported with the lowest threshold fluence recorded to date in perovskites, observed across 78–180 K. The phase behavior of emission under varying temperature and excitation fluence is mapped, identifying transitions between SF, ASE, and spontaneous emission regimes. A simple ab-initio model has been developed to predict the emission density, correlation, and trace distance for understanding the cooperative phenomena and the unified theory of SF and ASE. The analysis reveals the underlying dynamics that differentiate cooperative from non-cooperative emission, offering new insight into light–matter interactions in perovskites. These findings deepen the understanding of SF in solid-state systems and inform the design of quantum optical materials operable at elevated temperatures
Replication Data for: Evaluation by medical students of the educational value of multi-material and multi-colored three-dimensional printed models of the upper limb for anatomical education
No full textThis dataset comprises participants' perceptions—collected through surveys and focus group discussions—regarding their learning experience and the perceived educational value of a 3D-printed anatomical model of the human upper limb