HPC pielietojums zinātnē
HPC centrs vairāku gadu garumā ir nodrošinājis pakalpojumus zinātniekiem pētījumu veikšanai.
Light emission mechanism in dimers of carbene–metal–amide complexes. Physical Chemistry Chemical Physics, 2023, 4, 3220-3231. DOI: 10.1039/D2CP05237G.
Triboelectric behaviour of selected MOFs in contact with metals. RSC Advances, 2023, 1, DOI: 10.1039/D2RA06150C.
2022
Ijabs, H., Urtāns, Ē. Bidirectional Long Short-Term Memory Networks for Automatic Crop Classification at Regional Scale using Tabular Remote Sensing Time Series. Baltic J. Modern Computing. 2022, 10 (4), 611-622. DOI: 10.22364/bjmc.2022.10.4.02.
Kaupužs, J. and Melnik, R.V.N. Corrections to scaling in the 3D Ising model: A comparison between MC and MCRG results. International Journal of Modern Physics C, Online Ready.
Kaupužs, J. and Melnik, R.V.N. Functional truncations for the solution of the nonperturbative RG equations. Journal of Physics A: Mathematical and Theoretical, 2022, 55 (46), pp. 24. DOI:10.1088/1751-8121/ac9f8c.
Ruduss, A., Turovska, B., Belyakov, S., Stucere, K. A., Vembris, A., and Traskovskis, K. Carbene–Metal Complexes As Molecular Scaffolds for Construction of through-Space Thermally Activated Delayed Fluorescence Emitters. Inorganic Chemistry, 2022, 61 (4), pp. 2174–2185. DOI:10.1021/acs.inorgchem.1c03371.
Sherrell, P. C., Sutka, A., Shepelin, N. A., Lapcinskis, L., Verners, O., Germane, L., Timusk, M., Fenati, R. A., Malnieks, K., and Ellis A. V. Probing Contact Electrification: A Cohesively Sticky Problem. ACS Applied Materials & Interfaces 2021, 13 (37), pp. 44935-44947. DOI: 10.1021/acsami.1c13100.
Šutka, A., Lapčinskis, L., Verners, O, Ģērmane, L., Smits, Pludons, A., Gaidukovs, S., Jerāne, I., Zubkins, M., Pudzs, K., Sherrell, P. C., Blums, J. Bio-Inspired Macromolecular Ordering of Elastomers for Enhanced Contact Electrification and Triboelectric Energy Harvesting. Advanced Materials Technologies. 2022, 7 (10), 2200162. DOI: 10.1002/admt.202200162.
Urtāns, Ē., Būmanis, K., Vēciņš, V., Ancāns, M., Andrijanova, A., Upenieks, M., Volkovs, K. Detection of Knots in Oak Wood Planks: Instance Versus Semantic Segmentation. IEEE 5th International Conference on Big Data and Artificial Intelligence (BDAI 2022): Proceedings. IEEE, 2022, 163.-168.DOI: 10.1109/BDAI56143.2022.9862633.
Verners, O., Lapčinskis, L., Ģermane, L., Kasikov, A., Timusk, M., Pudzs, K., Ellis, A. V., Sherrell, P. C., Šutka, A. Smooth polymers charge negatively: Controlling contact electrification polarity in polymers. Nano Energy. 2022, 104, Part B. DOI: 10.1016/j.nanoen.2022.107914.
2020
Freimanis, A., Paeglitis, A. Crack development assessment using modal analysis in peridynamic theory. Journal of Computational Design and Engineering, 2020, 0 (0), pp. 1-15. doi: 10.1093/jcde/qwaa066.
Urtans, E., Nikitenko, A., Vecins, V. Exponential triplet loss. ICCDA 2020: The 4th International Conference on Compute and Data Analysis. International Technological University, USA. Silicon Valley, IA, United States, March 9-12, 2020. Price for the best publication.
Urtans, E., Vecins, V. Value Iteration Solver Networks. (2020). 3rd International Conference on Intelligent Autonomous Systems (ICoIAS), Singapore, Asia, February 26-29, 2020. DOI: 10.1109/ICoIAS49312.2020.9081856.
2019
Kaupužs, J., Medvids, A., Onufrijevs, P., Mimura, H. Origin of n-type Conductivity in ZnO Crystal and Formation of Zn and ZnO Nanoparticles by Laser Radiation. Optics and Laser Technology, 2019, No.1, pp.121-128. ISSN 0030-3992. doi:10.1016/j.optlastec.2018.09.037.
Kaupužs, J., Mahnke, R., Bachmat, E., Frette, V. How long does it take to board an airplane. Traffic and Granular Flow’ 17 (1st ed. 2019). Edited by Samer H. Hamdar. Springer Nature Switzerland AG. ISBN-13: 9783030114398.
2018
Freimanis, A., Kaewunruen, S. Peridynamic analysis of rail squats. Applied Sciences, 2018, 8 (11), 2299. doi:10.3390/app8112299.
Galushko, S., Urtāns, Ē. Chapter 3: ChromSword®: Software for Method Development in Liquid Chromatography. In: Software-Assisted Method Development for Modeling High Performance Liquid Chromatography. Switzerland: World Scientific Publishing Europe Ltd, 2018. pp.53-94. ISBN 978-1-78634-545-5. e-ISBN 978-1-78634-547-9. doi:10.1142/9781786345462_0003.
Kaupužs J., Melnik, R.V.N. (2018) Non-perturbative Approaches in Nanoscience and Corrections to Finite-Size Scaling. In: Bonilla L., Kaxiras E., Melnik R. (eds) Coupled Mathematical Models for Physical and Biological Nanoscale Systems and Their Applications. BIRS-16w5069 2016. Springer Proceedings in Mathematics & Statistics, vol 232. Springer, Cham. doi:10.1007/978-3-319-76599-0_4.
Urtāns, Ē., Ņikitenko, A. Survey of Deep Q-Network Variants in PyGame Learning Environment. In: ICDLT ’18: 2018 2nd International Conference on Deep Learning Technologies, China, Chongqing, 27-29 June, 2018. New York: ACM, 2018, pp.27-36. ISBN 978-1-4503-6473-7. doi:10.1145/3234804.3234816.
2017
Bušs, A., Ločs, J. Effects of Calcium and Alginate Concentration on the Calcium-Deficient Hydroxyapatite Hydrogel Bead Formation. Key Engineering Materials, 2017, Vol.721, pp.187-191. ISSN 1013-9826. e-ISSN 1662-9795. doi:10.4028/www.scientific.net/KEM.721.187.
Bušs, A., Ruģele, K., Šuleiko, A., Vanags, J. CFD Analysis of a Stirred Vessel Bioreactor with Double Pitch Blade and Rushton Type Impellers. In: COMSOL Conference 2017 User Presentations, Netherlands, Rotterdam, 18-20 October, 2017. Rotterdam: 2017, pp.1-6.
Kaupužs, J., Melnik, R.V.N., Rimšāns, J. Corrections to finite-size scaling in the 3D Ising model based on nonperturbative approaches and Monte Carlo simulations, Int. Journal of Modern Physics C, Vol. 28, No. 4 (2017) 1750044 (20 pages). ISSN (print): 0129-1831 | ISSN (online): 1793-6586.
Upnere, S., Jēkabsons, N. Estimation of Cross-Flow Influence on Spring-Mounted Cylinder in Triangular Cylinder Array. In: 16th International Scientific Conference “Engineering for Rural Development” (ERDev2017): Proceedings. Vol.16, Latvia, Jelgava, 24-26 May, 2017. Jelgava: 2017, pp.792-797. ISSN 1691-5976. doi:10.22616/ERDev2017.16.N162.
Pieteikt savu publikāciju
Ja publikācijas tapšanā ir izmantota HPC centra augstas veiktspējas skaitļošanas infrastruktūra un uz to norādīta arī atsauce publikācijā, lūgums paziņot par to mums. Informācija, kā atsaukties uz HPC centru, pieejama šeit.
HPC lietotājiem no RTU publikācija jāievada šeit, uzejot sadaļā ‘Pētījumam izmantotās RTU zinātniskās iekārtas’ un meklēšanas logā ierakstot atslēgas vārdu ‘HPC‘. No dotā saraksta jāizvēlas ‘High Performance Computing cluster – supercomputer‘. Šajā gadījumā informācija par publikāciju nav atsevišķi jāievada zemāk pieejamajā anketā.
Doktora disertācijas
Romāns Kušņins. Model Sensitivity Evaluation and Dielectric Constant Measurement Uncertainty Reduction. Promocijas darbs. Rīga: [RTU], 2023. 128 lpp.
Urtāns Ēvalds. Function Shaping in Deep Learning. Promocijas darbs. Rīga: [RTU], 2021. 167 lpp.
Freimanis Andris. Crack Development Assessment Using Modal Analysis in Peridynamic Theory. Promocijas darbs. Rīga: [RTU], 2019. 114 lpp.
Upnere Sabīne. Lieljaudas ūdensdzeses sistēmu dinamikas un drošuma izpēte. Promocijas darbs. Rīga: [RTU], 2019. 123 lpp.
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