School of Physical and Mathematical Sciences (SPMS)

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451 to 460 of 686 Results

Replication Data for: Deeply Sub-Wavelength Non-Contact Optical Metrology of Sub-Wavelength Objects Jun 3, 2021 - Carolina Rendon Barraza Carolina Rendón-Barraza; Eng Aik Chan; Guanghui Yuan; Giorgio Adamo; Tanchao Pu; Nikolay I. Zheludev, 2021, "Replication Data for: Deeply Sub-Wavelength Non-Contact Optical Metrology of Sub-Wavelength Objects", https://doi.org/10.21979/N9/ZFLGM2, DR-NTU (Data), V1, UNF:6:drmiOp5v6vhTus4wr6GScg== [fileUNF] This dataset contains the experimental data for the paper: Deeply Sub-Wavelength Non-Contact Optical Metrology of Sub-Wavelength Objects.
Carolina Rendon Barraza(Nanyang Technological University) Jun 3, 2021Centre for Disruptive Photonic Technologies (CDPT)
Hidden-State Modelling of a Cross-section of Geoelectric Time Series Data Can Provide Reliable Intermediate-term Probabilistic Earthquake Forecasting in Taiwan Jun 1, 2021 - CHEONG Siew Ann Cheong, Siew Ann, 2021, "Hidden-State Modelling of a Cross-section of Geoelectric Time Series Data Can Provide Reliable Intermediate-term Probabilistic Earthquake Forecasting in Taiwan", https://doi.org/10.21979/N9/JSUTCD, DR-NTU (Data), V1 (C, V, S, K) index time series data generated using 0.5-Hz GEMS time series data from Taiwan. In this data set, C is a modified autocorrelation function, V is the variance, S the skewness, and K the kurtosis of the GEMS geo-electric field time series.
Replication Data for: Ultrafast Photo-Thermal Switching of Terahertz Spin Currents Jun 1, 2021 - Piyush AGARWAL Agarwal, Piyush; Medwal, Rohit; Kumar, Abhishek; Asada, Hironori; Fukuma, Yasuhiro; Rawat, Rajdeep Singh; Battiato, Marco; Singh, Ranjan, 2021, "Replication Data for: Ultrafast Photo-Thermal Switching of Terahertz Spin Currents", https://doi.org/10.21979/N9/Y5VUPE, DR-NTU (Data), V1 Dissipationless and scattering-free spin-based terahertz electronics is the futuristic technology for energy-efficient information processing. Femtosecond light pulse provides an ideal pathway for exciting the ferromagnet (FM) out-of-equilibrium, causing ultrafast demagnetization...
Piyush AGARWAL(Nanyang Technological University) Jun 1, 2021
Maciej Marcin Klein(Nanyang Technological University) May 21, 2021Centre for Disruptive Photonic Technologies (CDPT)
Replication Data for: Observation of interacting polaronic gas behavior in Ta-doped TiO2 thin films via terahertz time-domain spectroscopy Apr 30, 2021 - Daming Zhao Cheng, Liang; Sarkar, Tarapada; Lourembam, James; Tutchton, Roxanne; Motapathula, M.; Zhao, Daming; Zhu, Jian-Xin; Venkatesan, Thirumalai; Chia, Elbert E. M., 2021, "Replication Data for: Observation of interacting polaronic gas behavior in Ta-doped TiO2 thin films via terahertz time-domain spectroscopy", https://doi.org/10.21979/N9/Y5CBHU, DR-NTU (Data), V1 Replication data for this paper published in Appl. Phys. Lett. including raw data, processed data and figures. DOI: 10.1063/5.0022775
Daming Zhao(Nanyang Technological University) Apr 19, 2021
Replication Data for: Hypergraph based persistent cohomology (HPC) for molecular representations in drug design Apr 6, 2021 - Xia Kelin Xia, Kelin, 2021, "Replication Data for: Hypergraph based persistent cohomology (HPC) for molecular representations in drug design", https://doi.org/10.21979/N9/16CFBW, DR-NTU (Data), V2 Artificial intelligence (AI) based drug design has demonstrated great potential to fundamentally change the pharmaceutical industries. Currently, a key issue in AI-based drug design is efficient transferable molecular descriptors or fingerprints. Here, we present hypergraph-based...
Replication Data for: Ollivier Persistent Ricci Curvature-Based Machine Learning for the Protein–Ligand Binding Affinity Prediction Apr 2, 2021 - Xia Kelin Xia, Kelin, 2021, "Replication Data for: Ollivier Persistent Ricci Curvature-Based Machine Learning for the Protein–Ligand Binding Affinity Prediction", https://doi.org/10.21979/N9/JHXLSG, DR-NTU (Data), V1 Efficient molecular featurization is one of the major issues for machine learning models in drug design. Here, we propose a persistent Ricci curvature (PRC), in particular, Ollivier PRC (OPRC), for the molecular featurization and feature engineering, for the first time. The filtr...

Replication Data for: Deeply Sub-Wavelength Non-Contact Optical Metrology of Sub-Wavelength Objects

Jun 3, 2021 - Carolina Rendon Barraza

Carolina Rendón-Barraza; Eng Aik Chan; Guanghui Yuan; Giorgio Adamo; Tanchao Pu; Nikolay I. Zheludev, 2021, "Replication Data for: Deeply Sub-Wavelength Non-Contact Optical Metrology of Sub-Wavelength Objects", https://doi.org/10.21979/N9/ZFLGM2, DR-NTU (Data), V1, UNF:6:drmiOp5v6vhTus4wr6GScg== [fileUNF]

This dataset contains the experimental data for the paper: Deeply Sub-Wavelength Non-Contact Optical Metrology of Sub-Wavelength Objects.

Carolina Rendon Barraza(Nanyang Technological University)

Jun 3, 2021Centre for Disruptive Photonic Technologies (CDPT)

Hidden-State Modelling of a Cross-section of Geoelectric Time Series Data Can Provide Reliable Intermediate-term Probabilistic Earthquake Forecasting in Taiwan

Jun 1, 2021 - CHEONG Siew Ann

Cheong, Siew Ann, 2021, "Hidden-State Modelling of a Cross-section of Geoelectric Time Series Data Can Provide Reliable Intermediate-term Probabilistic Earthquake Forecasting in Taiwan", https://doi.org/10.21979/N9/JSUTCD, DR-NTU (Data), V1

(C, V, S, K) index time series data generated using 0.5-Hz GEMS time series data from Taiwan. In this data set, C is a modified autocorrelation function, V is the variance, S the skewness, and K the kurtosis of the GEMS geo-electric field time series.

Replication Data for: Ultrafast Photo-Thermal Switching of Terahertz Spin Currents

Jun 1, 2021 - Piyush AGARWAL

Agarwal, Piyush; Medwal, Rohit; Kumar, Abhishek; Asada, Hironori; Fukuma, Yasuhiro; Rawat, Rajdeep Singh; Battiato, Marco; Singh, Ranjan, 2021, "Replication Data for: Ultrafast Photo-Thermal Switching of Terahertz Spin Currents", https://doi.org/10.21979/N9/Y5VUPE, DR-NTU (Data), V1

Dissipationless and scattering-free spin-based terahertz electronics is the futuristic technology for energy-efficient information processing. Femtosecond light pulse provides an ideal pathway for exciting the ferromagnet (FM) out-of-equilibrium, causing ultrafast demagnetization...

Piyush AGARWAL(Nanyang Technological University)

Jun 1, 2021

Maciej Marcin Klein(Nanyang Technological University)

May 21, 2021Centre for Disruptive Photonic Technologies (CDPT)

Replication Data for: Observation of interacting polaronic gas behavior in Ta-doped TiO2 thin films via terahertz time-domain spectroscopy

Apr 30, 2021 - Daming Zhao

Cheng, Liang; Sarkar, Tarapada; Lourembam, James; Tutchton, Roxanne; Motapathula, M.; Zhao, Daming; Zhu, Jian-Xin; Venkatesan, Thirumalai; Chia, Elbert E. M., 2021, "Replication Data for: Observation of interacting polaronic gas behavior in Ta-doped TiO2 thin films via terahertz time-domain spectroscopy", https://doi.org/10.21979/N9/Y5CBHU, DR-NTU (Data), V1

Replication data for this paper published in Appl. Phys. Lett. including raw data, processed data and figures. DOI: 10.1063/5.0022775

Daming Zhao(Nanyang Technological University)

Apr 19, 2021

Replication Data for: Hypergraph based persistent cohomology (HPC) for molecular representations in drug design

Apr 6, 2021 - Xia Kelin

Xia, Kelin, 2021, "Replication Data for: Hypergraph based persistent cohomology (HPC) for molecular representations in drug design", https://doi.org/10.21979/N9/16CFBW, DR-NTU (Data), V2

Artificial intelligence (AI) based drug design has demonstrated great potential to fundamentally change the pharmaceutical industries. Currently, a key issue in AI-based drug design is efficient transferable molecular descriptors or fingerprints. Here, we present hypergraph-based...

Replication Data for: Ollivier Persistent Ricci Curvature-Based Machine Learning for the Protein–Ligand Binding Affinity Prediction

Apr 2, 2021 - Xia Kelin

Xia, Kelin, 2021, "Replication Data for: Ollivier Persistent Ricci Curvature-Based Machine Learning for the Protein–Ligand Binding Affinity Prediction", https://doi.org/10.21979/N9/JHXLSG, DR-NTU (Data), V1

Efficient molecular featurization is one of the major issues for machine learning models in drug design. Here, we propose a persistent Ricci curvature (PRC), in particular, Ollivier PRC (OPRC), for the molecular featurization and feature engineering, for the first time. The filtr...

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