At Wichita State University, diverse research groups have leveraged the High-performance computing capabilities of BeoShock to achieve significant breakthroughs in their respective fields. Please also see "Teaching Today".
- Biology
- Chemistry
- Data Science
- Industrial Engineering
- Mechanical Engineering
- Particle Physics
- Quantum Computing
- Space Science
Publications
Check out all of the following publications that have used BeoShock HPC.
2024
C. Pakhrin, N. Chauhan, S. Khan, J. Upadhyaya, M. R. Beck, and E. Blanco, "Prediction of human O-linked glycosylation sites using stacked generalization and embeddings from pre-trained protein language model," Bioinformatics, vol. 40, no. 11, p. btae643, Nov. 2024. [Online]. Available: https://doi.org/10.1093/bioinformatics/btae643
A.-W. Yahaya, NOvA far detector interaction vertexing using regression based convolutional neural network, M.S. thesis, Dept. of Physics, Wichita State Univ., Wichita, KS, USA, May 2024. [Online]. Available: https://soar.wichita.edu/handle/10057/28646
R. Uddin, A. Asaduzzaman, R. Soza and C. Minkler, "Avian Song Identification Using CNN," 2024 IEEE Green Technologies Conference (GreenTech), Springdale, AR, USA, 2024, pp. 43-47, doi: 10.1109/GreenTech58819.2024.10520499.
Samarakoon and T. M. Figy, "Double Higgs boson production via photon fusion at muon colliders within the triplet Higgs model," Phys. Rev. D, vol. 109, no. 7, p. 075015, Apr. 2024. [Online]. Available: https://doi.org/10.1103/PhysRevD.109.075015
Ang, Porous Trailing Edge for Airfoil and Fan Noise Reduction at Low-Speed Stall Conditions, M.S. thesis, Dept. of Aerospace Engineering, Wichita State Univ., Wichita, KS, USA, 2024. [Online]. Available: https://soar.wichita.edu/bitstreams/t24001_Ang.pdf\
2023
Chen, Anomalous Higgs Boson Couplings in Vector Boson Fusion, Ph.D. thesis, Dept. of Mathematics Statistics & Physics, Wichita State Univ., Wichita, KS, USA, 2023. [Online]. Available: https://soar.wichita.edu/handle/10057/25698
C. Pakhrin, N. Chauhan, S. Khan, J. Upadhyaya, C. Keller, L. N. Neuman, M. R. Beck, and E. Blanco, "Human O-linked glycosylation site prediction using pretrained protein language model," bioRxiv, Oct. 2023. [Online]. Available: https://doi.org/10.1101/2023.10.23.563673
Pramanik, R. M. Steinert, K. R. Mitchell-Koch, and K. Bowman-James, "Structural insight on supramolecular polyion salts: Inositol hexaphosphate enclosed in cationic macrocyclic clusters," Chem., vol. 29, no. 8, p. e202301764, Aug. 2023. [Online]. Available: https://doi.org/10.1002/chem.202301764
C. Pakhrin, S. Pokharel, P. Pratyush, M. Chaudhari, H. D. Ismail, and D. B. KC, "LMPhosSite: A deep learning-based approach for general protein phosphorylation site prediction using embeddings from the local window sequence and pretrained protein language model," iScience, vol. 26, no. 7, p. 107336, Jul. 2023. [Online]. Available: https://doi.org/10.1016/j.isci.2023.107336
C. Pakhrin et al., "LMNglyPred: Prediction of human N-linked glycosylation sites using embeddings from a pre-trained protein language model," Glycobiology, vol. 33, no. 5, pp. 411–422, May 2023. [Online]. Available: https://doi.org/10.1093/glycob/cwad033
C. Novak, An Exploratory Study to Create an Anti-Neutrino Directional and Ranging Sensitive Detector (NUDAR), M.S. thesis, Dept. of Physics, Wichita State Univ., Wichita, KS, USA, 2023. [Online]. Available: https://soar.wichita.edu/bitstreams/t23033s_Novak.pdf
2022
R. Uddin, A. Asaduzzaman, R. Soza, and C. Minkler, “Avian Song Identification Using CNN,” 2022 IEEE 13th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), pp. 0084–0089, 2022. [Online]. Available: https://ieeexplore.ieee.org/abstract/document/10520499/
English and N. Solomey, “Concept Study for Observing Galactic Neutrinos in Neptune’s Atmosphere,” arXiv preprint, arXiv:2210.05913, Oct. 2022. [Online]. Available: https://arxiv.org/abs/2210.05913
Khan, “Machine Learning in NOνA Near Detector Vertexing,” Office of Scientific and Technical Information (OSTI), U.S. Department of Energy, 2022. [Online]. Available: https://www.osti.gov/servlets/purl/1958800
M. Steinert, C. Kasireddy, M. E. Heikesa, and K. R. Mitchell-Koch, “Newly identified C–H⋯O hydrogen bond in histidine,” Phys. Chem. Chem. Phys., vol. 24, no. 29, pp. 19233–19251, 2022. [Online]. Available: https://pubs.rsc.org/en/content/articlehtml/2022/cp/d2cp02048c
Chen, T. M. Figy, and S. Plätzer, “NLO multijet merging for Higgs production beyond the VBF approximation,” Eur. Phys. J. C, vol. 82, article 704, 2022. [Online]. Available: https://link.springer.com/article/10.1140/epjc/s10052-022-10671-9
2021
C. Pakhrin, K. F. Aoki-Kinoshita, D. Caragea, and D. B. KC, "DeepNGlyPred: A deep neural network-based approach for human N-linked glycosylation site prediction," Molecules, vol. 26, no. 23, p. 7314, Nov. 2021. [Online]. Available: https://doi.org/10.3390/molecules26237314
Shrestha, Drone Strike Analysis on Windshield of a Helicopter Using Finite Element Method, M.S. thesis, Dept. of Mechanical Engineering, Wichita State Univ., Wichita, KS, USA, 2021. [Online]. Available: https://soar.wichita.edu/bitstreams/97744982-c86c-4e83-9691-151848194ffd/download
B. C. Akins, Devil’s DGA, M.F.A. thesis, Dept. of English, Wichita State Univ., Wichita, KS, USA, 2021. [Online]. Available: https://soar.wichita.edu/server/api/core/bitstreams/4ee2f8eb-46d2-4442-8cd1-ebb571d4d8eb/content
Messick, Preliminary Mission Design for Proposed NuSol Probe, M.S. thesis, Dept. of Aerospace Engineering, Wichita State Univ., Wichita, KS, USA, 2021. [Online]. Available: https://soar.wichita.edu/bitstreams/t21019_Messick.pdf
A. Elkarghli, Improvement of the NOvA Near Detector Event Reconstruction and Primary Vertexing Through the Application of Machine Learning Methods, M.S. thesis, Dept. of Physics, Wichita State Univ., Wichita, KS, USA, 2021. [Online]. Available: https://soar.wichita.edu/handle/10057/19755