Publications
Algorithmic Mathematics Lab
Natural Language Processing Lab
Bootstrapping Icelandic Knowledge Graph Data.
Friðriksdóttir, Steinunn Rut; Einarsson, Hafsteinn (2022): Friðriksdóttir & Einarsson (2022), Bootstrapping Icelandic Knowledge Graph Data. University of Amsterdam / Amsterdam University of Applied Sciences. Conference contribution. https://doi.org/10.21942/uva.20367948.v1
Cross-Lingual QA as a Stepping Stone for Monolingual Open QA in Icelandic
Snæbjarnarson, V., & Einarsson, H. (2022, July). Cross-Lingual QA as a Stepping Stone for Monolingual Open QA in Icelandic. In Proceedings of the Workshop on Multilingual Information Access (MIA) (pp. 29-36).
Natural questions in icelandic.
Snæbjarnarson, V., & Einarsson, H. (2022, June). Natural questions in icelandic. In Proceedings of the Thirteenth Language Resources and Evaluation Conference (pp. 4488-4496).
Building an Icelandic Entity Linking Corpus.
Friðriksdóttir, S. R., Eggertsson, V. Á., Jóhannesson, B. G., Daníelsson, H., Loftsson, H., & Einarsson, H. (2022, June). Building an Icelandic Entity Linking Corpus. In Proceedings of the Workshop on Dataset Creation for Lower-Resourced Languages within the 13th Language Resources and Evaluation Conference (pp. 27-35).
Fictionary-Based Games for Language Resource Creation
Friðriksdóttir, S. R., & Einarsson, H. (2022, June). Fictionary-Based Games for Language Resource Creation. In Proceedings of the 2nd Workshop on Novel Incentives in Data Collection from People: models, implementations, challenges and results within LREC 2022 (pp. 25-31).
A Warm Start and a Clean Crawled Corpus-A Recipe for Good Language Models
Snæbjarnarson, V., Símonarson, H. B., Ragnarsson, P. O., Ingólfsdóttir, S. L., Jónsson, H., Þorsteinsson, V., & Einarsson, H. (2022, June). A Warm Start and a Clean Crawled Corpus-A Recipe for Good Language Models. In Proceedings of the Thirteenth Language Resources and Evaluation Conference (pp. 4356-4366).
Quantum Simulation and Data Science Lab
Polarizable force field for acetonitrile based on the single-center multipole expansion
H. Myneni, E.O. Jónsson, H. Jónsson*, and A.O. Dohn*, Polarizable force field for acetonitrile based on the single-center multipole expansion, The Journal of Physical Chemistry B 126, 9339 (2022); https://doi.org/10.1021/acs.jpcb.2c04255
Chemical bonding theories as guides for self-interaction corrected solutions: multiple local minima and symmetry breaking
K. Trepte, S. Schwalbe, S. Liebing, W.T. Schulze, J. Kortus, H. Myneni, A.V. Ivanov, and S. Lehtola, Chemical bonding theories as guides for self-interaction corrected solutions: multiple local minima and symmetry breaking, The Journal of Chemical Physics 155, 224109 (2021); https://doi.org/10.1063/5.0071796
Benchmark test of a dispersion corrected revised Tao–Mo semilocal functional for thermochemistry, kinetics, and noncovalent interactions of molecules and solids
S. Jana, H. Myneni, S. Śmiga, L.A. Constantin, and P. Samal, Benchmark test of a dispersion corrected revised Tao–Mo semilocal functional for thermochemistry, kinetics, and noncovalent interactions of molecules and solids, The Journal of Chemical Physics155, 114102 (2021); https://doi.org/10.1063/5.0060538
Stretched or noded orbital densities and self-interaction correction in density functional theory
C. Shahi, P. Bhattarai, K. Wagle, B. Santra, S. Schwalbe, T. Hahn, J. Kortus, K.A. Jackson, J.E. Peralta, K. Trepte, S. Lehtola, N.K. Nepal, H. Myneni, B. Neupane, S. Adhikari, A. Ruzsinszky, Y. Yamamoto, T. Baruah, R.R. Zope, and J.P. Perdew, Stretched or noded orbital densities and self-interaction correction in density functional theory, The Journal of Chemical Physics 150, 174102 (2019); https://doi.org/10.1063/1.5087065
Long-range screened hybrid functional theory satisfying the local density linear response,
S. Jana, A. Patra, L.A. Constantin, H. Myneni, and P. Samal, Long-range screened hybrid functional theory satisfying the local density linear response, Physical Review A 99, 042515 (2019); https://doi.org/10.1103/PhysRevA.99.042515
On the many-electron self-interaction error of the semilocal exchange hole based meta-GGA level range-separated hybrid with the B88 hybrids
S. Jana, B. Patra, H. Myneni, and P. Samal, On the many-electron self-interaction error of the semilocal exchange hole based meta-GGA level range-separated hybrid with the B88 hybrids, Chemical Physics Letters 713, 1 (2018); https://doi.org/10.1016/j.cplett.2018.10.007
Laplacian free and asymptotic corrected semilocal exchange potential applied to the band gap of solids.
A. Patra, S. Jana, H. Myneni, and P. Samal, Laplacian free and asymptotic corrected semilocal exchange potential applied to the band gap of solids, Physical Chemistry Chemical Physics 21, 19639 (2019); https://doi.org/10.1039/C9CP03356D
On the calculation of ∆<Ŝ^2>_i for electronic excitations in time-dependent density-functional theory
H. Myneni and M.E. Casida, On the calculation of ∆<Ŝ^2>_i for electronic excitations in time-dependent density-functional theory, Computer Physics Communications 213, 72 (2017); http://dx.doi.org/10.1016/j.cpc.2016.12.011
Better band gaps with asymptotically corrected local exchange potentials
P. Singh, M.K. Harbola, M. Hemanadhan (H. Myneni), A. Mookerjee, and D.D. Johnson, Better band gaps with asymptotically corrected local exchange potentials, Physical Review B 93, 085204 (2016); http://dx.doi.org/10.1103/PhysRevB.93.085204
Simulation and Data Lab Acoustic and Tactile Engineering
The Intensity Order Illusion: Temporal Order of Different Vibrotactile Intensity Causes Systematic Localization Error
Hoffmann, R., Brinkhuis M.A.B., Unnthorsson, Runar, Kristjansson, Arni, The Intensity Order Illusion: Temporal Order of Different Vibrotactile Intensity Causes Systematic Localization Error, Journal of Neurophysiology, Volume 122, Issue 4, October 2019, Pages 1810-1820, https://doi.org/10.1152/jn.00125.2019
Blind wayfinding with physically-based liquid sounds
Simone Spagnol, Rebekka Hoffmann, Marcelo Herrera Martínez, Runar Unnthorsson, Blind wayfinding with physically-based liquid sounds, International Journal of Human-Computer Studies,Volume 115, Pages 9-19, 2018
Simulation and Data Lab Computational Chemistry
Simulation and Data Lab Computational Fluid Dynamics
Mechanical Elements Analysis of Stewart Platform: Computational Approach
R Hassanian, M Riedel, “Mechanical Elements Analysis of Stewart Platform: Computational Approach”, International Journal of Science and Research (IJSR) 11 (4), 2022, pp. 1166 – 1171, Online: https://hdl.handle.net/20.500.11815/3313
Lagrangian Particle Tracking Data of a Straining Turbulent Flow Assessed Using Machine Learning and Parallel Computing
R. Hassanian, M. Riedel, P. Costa, A. Helgadottir, L. Bouhlali, “Lagrangian Particle Tracking Data of a Straining Turbulent Flow Assessed Using Machine Learning and Parallel Computing,” in Proceedings of 33rd Parallel Computational Fluid Dynamics (ParCFD) 2022. Alba, Italy, 2022, Online: https://hdl.handle.net/20.500.11815/3515
A Practical Approach for Estimating the Optimum Tilt Angle of a Photovoltaic Panel for a Long Period—Experimental Recorded Data
Hassanian, R., Riedel, M., Yeganeh, N., Unnthorsson, R.: A Practical Approach for Estimating the Optimum Tilt Angle of a Photovoltaic Panel for a Long Period—Experimental Recorded Data, Journal of MDPI Solar, vol. 1, no 1, 2021
Turbulent bubbly channel flows: Effects of soluble surfactant and viscoelasticity
Z. Ahmed, D. Izbassarov, P. Costa, M. Muradoglu, and O. Tammisola. Turbulent bubbly channel flows: Effects of soluble surfactant and viscoelasticity. Comput. Fluids : 104717 (2020)
A volume-of-fluid method for interface-resolved simulations of phase-changing two-fluid flows
N. Scapin, P. Costa, and L. Brandt. A volume-of-fluid method for interface-resolved simulations of phase-changing two-fluid flowsJ. Comput. Phys. 407 : 109251 (2020)
Interface-resolved simulations of small inertial particles in turbulent channel flow
P. Costa, L. Brandt, and F. Picano. Interface-resolved simulations of small inertial particles in turbulent channel flow. J. Fluid Mech. 883 : A54 (2020)
Numerical investigation of several twisted tubes with non-conventional tube cross sections on heat transfer and pressure drop
B. Indurain, D. Uystepruyst, F. Beaubert, S. Lalot, Á. Helgadóttir. Numerical investigation of several twisted tubes with non-conventional tube cross sections on heat transfer and pressure drop. Journal of Thermal Analysis and Calorimetry. 140: 1555-1568 (2020). https://doi.org/10.1007/s10973-019-08965-4
On Solving the Poisson Equation with Discontinuities on Irregular Interfaces: GFM and VIM
Á. Helgadóttir, A. Guittet, F. Gibou. On Solving the Poisson Equation with Discontinuities on Irregular Interfaces: GFM and VIM. International Journal of Differential Equations. 2018: Article ID 9216703 (2018). https://doi.org/10.1155/2018/9216703
Imposing Mixed Dirichlet-Neumann-Robin Boundary Conditions in a Level-Set Framework
Á. Helgadóttir, Y.-T. Ng, C. Min, F. Gibou. Imposing Mixed Dirichlet-Neumann-Robin Boundary Conditions in a Level-Set Framework. Computers and Fluids. 121: 68-80 (2015). https://doi.org/10.1016/j.compfluid.2015.08.007
A FFT-based finite-difference solver for massively-parallel direct numerical simulations of turbulent flows
P. Costa. A FFT-based finite-difference solver for massively-parallel direct numerical simulations of turbulent flows. Comput. Math. Appl. 76 : 1853 – 1862 (2018)
Simulation and Data Lab Computational Physics
Controlling the excitation spectrum of a quantum dot array with a photoncavity
Controlling the excitation spectrum of a quantum dot array with a photoncavity, Vidar Gudmundsson, Vram Mughnetsyan, Nzar Rauf Abdullah, Chi-Shung Tang,Valeriu Moldoveanu, and Andrei Manolescu, Phys. Rev. B 108, 115306 (2023), https://doi.org/10.1103/PhysRevB.108.115306, (arXiv:2305.11544)
Role of planar buckling on the electronic, thermal, and optical properties of Germagraphene nanosheets
Role of planar buckling on the electronic, thermal, and optical properties of Germagraphene nanosheets, Nzar Rauf Abdullah, Yousif Hussein Azeez, Botan Jawdat Abdullah, Hunar Omar Rashid, Andrei Manolescu, and Vidar Gudmundsson, Materials Science in Semiconductor Processing 153, 107163 (2023), https://doi.org/10.1016/j.mssp.2022.107163, (arXiv:2210.04247)
Effects of a far-infrared photon cavity field on the magnetization of a square quantum dot array
Effects of a far-infrared photon cavity field on the magnetization of a square quantum dot array, Vidar Gudmundsson, Vram Mughnetsyan, Nzar Rauf Abdullah, Chi-Shung Tang, Valeriu Moldoveanu, and Andrei Manolescu, Phys. Rev. B 106, 115308 (2022), https://doi.org/10.1103/PhysRevB.106.115308, (arXiv:2203.11029)
Unified approach to cyclotron and plasmon resonances in a periodic two-dimensional GaAs electron gas hosting the Hofstadter butterfly
Unified approach to cyclotron and plasmon resonances in a periodic two-dimensional GaAs electron gas hosting the Hofstadter butterfly, Vidar Gudmundsson, Vram Mughnetsyan, Nzar Rauf Abdullah, Chi-Shung Tang, Valeriu Moldoveanu, and Andrei Manolescu, Phys. Rev. B 105, 155302 (2022), https://doi.org/10.1103/PhysRevB.105.155302, (arXiv:2112.08216)
Electroluminescence caused by the transport of interacting electrons through parallel quantum dots in a photon cavity
Electroluminescence caused by the transport of interacting electrons through parallel quantum dots in a photon cavity, Vidar Gudmundsson, Nzar Rauf Abdullah, Anna Sitek, Hsi-Sheng Goan, Chi-Shung Tang, and Andrei Manolescu, Annalen der Physik 530, 1700334 (2018), https://doi.org/10.1002/andp.201700334, (arXiv:1706.03483)
Simulation and Data Lab Health and Medicine
Developing an Artificial Intelligence-Based Representation of a Virtual Patient Model for Real-Time Diagnosis of Acute Respiratory Distress Syndrome
C. S. Barakat et al., ‘Developing an Artificial Intelligence-Based Representation of a Virtual Patient Model for Real-Time Diagnosis of Acute Respiratory Distress Syndrome’, Diagnostics, vol. 13, no. 12, p. 2098, Jun. 2023, doi: 10.3390/diagnostics13122098.
Lessons learned on using High-Performance Computing and Data Science Methods towards understanding the Acute Respiratory Distress Syndrome (ARDS)
C. Barakat et al., “Lessons learned on using High-Performance Computing and Data Science Methods towards understanding the Acute Respiratory Distress Syndrome (ARDS),” MIPRO 2022, pp. 368-373, Online: https://doi.org/10.23919/MIPRO55190.2022.9803320
Simulation and Data Lab Neuroscience
Simulation and Data Lab Remote Sensing
Remote Sensing Image Classification Using CNNs With Balanced Gradient for Distributed Heterogeneous Computing,
S. Moreno-Álvarez, M. E. Paoletti, G. Cavallaro, J. A. Rico and J. M. Haut, "Remote Sensing Image Classification Using CNNs With Balanced Gradient for Distributed Heterogeneous Computing," in IEEE Geoscience and Remote Sensing Letters (GRSL), no. 3512205, vol. 19, pp. 1-5, 2022, https://doi.org/10.1109/LGRS.2022.3173052
Predicting Classification Performance for Benchmark Hyperspectral Datasets
B. Zhao, H. I. Ragnarsson, M. O. Ulfarsson, G. Cavallaro and J. A. Benediktsson, "Predicting Classification Performance for Benchmark Hyperspectral Datasets," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), vol. 15, pp. 4180-4193, 2022, https://doi.org/10.1109/JSTARS.2022.3173893
A High-Performance Multispectral Adaptation GAN for Harmonizing Dense Time Series of Landsat-8 and Sentinel-2 Images
R. Sedona, C. Paris, G. Cavallaro, L. Bruzzone, and M. Riedel, “A High-Performance Multispectral Adaptation GAN for Harmonizing Dense Time Series of Landsat-8 and Sentinel-2 Images,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), vol. 14, pp. 10134–10146, 2021, https://doi.org/10.1109/JSTARS.2021.3115604
Practice and Experience in using Parallel and Scalable Machine Learning with Heterogenous Modular Supercomputing Architectures
M. Riedel et al., “Practice and Experience in using Parallel and Scalable Machine Learning with Heterogenous Modular Supercomputing Architectures,” 2021 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2021, pp. 76-85, Online: https://doi.org/10.1109/IPDPSW52791.2021.00019
Remote Sensing Big Data Classification with High Performance Distributed Deep Learning
R. Sedona, G. Cavallaro, J. Jitsev, A. Strube, M. Riedel, and J. A. Benediktsson, ”Remote Sensing Big Data Classification with High Performance Distributed Deep Learning”, Remote Sensing, vol. 11, no. 24, pp. 3056, 2019.
Cloud Deep Networks for Hyperspectral ImageAnalysis
J. M. Haut, J. A. Gallardo, M. E. Paoletti, G. Cavallaro, J.Plaza, A. Plaza and M. Riedel, "Cloud Deep Networks for Hyperspectral ImageAnalysis," in IEEE Transactions on Geoscience and Remote Sensing (TGRS), vol. 57, no. 12, pp.9832-9848, 2019, https://doi.org/10.1109/TGRS.2019.2929731
Cloud Deep Networks for Hyperspectral Image Analysis”, IEEE Transactions on Geoscience and Remote Sensing
J. M. Haut, J. A. Gallardo, M. E. Paoletti, G. Cavallaro, J. Plaza, A. Plaza, and M. Riedel, ”Cloud Deep Networks for Hyperspectral Image Analysis”, IEEE Transactions on Geoscience and Remote Sensing”, vol. 57, no. 12, pp. 9832-9848, 2019.
Parallel Computation of Component Trees on Distributed Memory Machine
M. Goetz, G. Cavallaro, T. Geraud, M. Book, and M. Riedel, ”Parallel Computation of Component Trees on Distributed Memory Machines“, IEEE Transactions on Parallel and Distributed Systems, vol. 29, no. 11, pp. 2582-2598, 2018.
On Understanding Big Data Impacts in Remotely Sensed Image Classification Using Support Vector Machine Methods
G. Cavallaro, M. Riedel, M. Richerzhagen, J. A. Benediktsson, and A. Plaza, ”On Understanding Big Data Impacts in Remotely Sensed Image Classification Using Support Vector Machine Methods,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (J-STARS), vol. 8, no. 10, pp. 4634-4646, 2015.