Zobrazeno 1 - 10
of 1 497
pro vyhledávání: '"A. Mahindra"'
Charged particle dynamics under the influence of electromagnetic fields is a challenging spatiotemporal problem. Many high performance physics-based simulators for predicting behavior in a charged particle beam are computationally expensive, limiting
Externí odkaz:
http://arxiv.org/abs/2408.07847
Addressing the charged particle beam diagnostics in accelerators poses a formidable challenge, demanding high-fidelity simulations in limited computational time. Machine learning (ML) based surrogate models have emerged as a promising tool for non-in
Externí odkaz:
http://arxiv.org/abs/2406.01535
Particle accelerators are time-varying systems whose components are perturbed by external disturbances. Tuning accelerators can be a time-consuming process involving manual adjustment of multiple components, such as RF cavities, to minimize beam loss
Externí odkaz:
http://arxiv.org/abs/2406.01532
Autor:
A. Bessudo, D. Greenwald, M. H. Kazemi, A. Mahindra, L. Shunyakov, M. Sondhi, H. O’Connor, Y. Chen, J. Yang, G. Salles
Publikováno v:
HemaSphere, Vol 6, Pp 999-1000 (2022)
Externí odkaz:
https://doaj.org/article/36cbd097820a453bae1428e0ba49e124
Particle accelerators are complex systems that focus, guide, and accelerate intense charged particle beams to high energy. Beam diagnostics present a challenging problem due to limited non-destructive measurements, computationally demanding simulatio
Externí odkaz:
http://arxiv.org/abs/2403.13858
In this paper, we propose a novel inverse parameter estimation approach called Bayesian optimized physics-informed neural network (BOPINN). In this study, a PINN solves the partial differential equation (PDE), whereas Bayesian optimization (BO) estim
Externí odkaz:
http://arxiv.org/abs/2312.14064
With the rising demands for robust structural health monitoring procedures for aerospace structures, the scope of intelligent algorithms and learning techniques is expanding. Supervised algorithms have shown promising results in the field provided a
Externí odkaz:
http://arxiv.org/abs/2308.05350
Autor:
Rohimatun, Mahindra Dewi Nur Aisyah, Rismayani, Molide Rizal, Rita Noveriza, Tri Lestari Mardiningsih
Publikováno v:
Journal of Plant Protection Research, Vol vol. 64, Iss No 3, Pp 288-297 (2024)
Citronella (Cymbopogon nardus) produces essential oil and has the potential to be developed as a botanical insecticide. However, in its development, botanical insecticides encountered several obstacles. Utilizing nanotechnology in nanoemulsion prepar
Externí odkaz:
https://doaj.org/article/c5f6ea85659f4bcd966c221a8d03fa81
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract Particle accelerators are complex systems that focus, guide, and accelerate intense charged particle beams to high energy. Beam diagnostics present a challenging problem due to limited non-destructive measurements, computationally demanding
Externí odkaz:
https://doaj.org/article/9761791bdb6643649e47682863f473e4
Laminated composite materials are widely used in most fields of engineering. Wave propagation analysis plays an essential role in understanding the short-duration transient response of composite structures. The forward physics-based models are utiliz
Externí odkaz:
http://arxiv.org/abs/2212.06365