The application of graphene/h-BN metamaterial in medical linear accelerators for reducing neutron leakage in the treatment room

Hassanpour, Mehdi; Hassanpour, Marzieh; Rezaie, Mohammadreza; Khezripour, Saeedeh; Faruque, Mohammad Rashed Iqbal; Khandaker, Mayeen Uddin

doi:10.1007/s13246-023-01269-w

Cited by 3 publications

(3 citation statements)

References 23 publications

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“…A water phantom is widely accepted as a surrogate for human tissue due to its similar radiological properties, such as electron density and effective atomic number, which closely match those of soft tissue. The dimensions we selected (a spherical field with a diameter of 5 cm within a larger 15 × 15 × 15 cm water phantom) are consistent with those used in previous studies aimed at evaluating radiation dose distributions and interactions within a homogeneous medium [ 34 , [35] , [36] , [37] ]. These parameters were carefully chosen to replicate a clinical scenario and ensure that the energy deposition values obtained from the MCNP code were appropriately normalized to the number of initial particles.…”

Section: Methodsmentioning

confidence: 99%

Evaluating deposited radiation energy amount and collision quantities of small-molecule radiosensitizers through Monte Carlo simulations

ALMisned,

Kilic,

Almansoori

et al. 2024

Heliyon

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Section: Methodsmentioning

confidence: 99%

Evaluating deposited radiation energy amount and collision quantities of small-molecule radiosensitizers through Monte Carlo simulations

ALMisned,

Kilic,

Almansoori

et al. 2024

Heliyon

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“…This demonstrated, to some extent, that AI-based design can accelerate the design of flexible metamaterials with high low-stress concentration levels for lower fatigue within the structure. Other examples of auxetic metamaterials in POC include the development of prosthetic electronic skin, sign language translation via gloves, bioinspired tactile nociceptor for mimicking sensitization phenomena, electronic textiles, and medical linear accelerator . Such applications of metamaterials hold great potential to improve users’ daily lives and to provide better health monitoring.…”

Section: Emerging Applications Of Ai-based Metamaterials Design In He...mentioning

confidence: 99%

“…Other examples of auxetic metamaterials in POC include the development of prosthetic electronic skin, 244 sign language translation via gloves, 245 bioinspired tactile nociceptor for mimicking sensitization phenomena, 246 electronic textiles, 247 and medical linear accelerator. 248 Such applications of metamaterials hold great potential to improve users’ daily lives and to provide better health monitoring.…”

Section: Emerging Applications Of Ai-based Metamaterials Design In He...mentioning

confidence: 99%

AI-Based Metamaterial Design

Tezsezen,

Yigci,

Ahmadpour

et al. 2024

ACS Appl. Mater. Interfaces

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The use of metamaterials in various devices has revolutionized applications in optics, healthcare, acoustics, and power systems. Advancements in these fields demand novel or superior metamaterials that can demonstrate targeted control of electromagnetic, mechanical, and thermal properties of matter. Traditional design systems and methods often require manual manipulations which is time-consuming and resource intensive. The integration of artificial intelligence (AI) in optimizing metamaterial design can be employed to explore variant disciplines and address bottlenecks in design. AI-based metamaterial design can also enable the development of novel metamaterials by optimizing design parameters that cannot be achieved using traditional methods. The application of AI can be leveraged to accelerate the analysis of vast data sets as well as to better utilize limited data sets via generative models. This review covers the transformative impact of AI and AI-based metamaterial design for optics, acoustics, healthcare, and power systems. The current challenges, emerging fields, future directions, and bottlenecks within each domain are discussed.

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Influence of sustainable waste granite, marble and nano-alumina additives on ordinary concretes: a physical, structural, and radiological study

Mahmoud,

El-Sayed,

Aboraya

et al. 2024

Sci Rep

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This study investigates the individual and combined effects of enhancing the radiation shielding properties of waste concrete using the optimal mix design of two waste material powders of different compositions. Marble (MD) and granite (GD) waste dust were individually utilized as partial replacements for cement at a replacement ratio of 6%. Furthermore, two additional mixes were prepared by incorporating 1% by cement weight of nano alumina (NA) to enhance the microstructure of the studied waste concrete. The MGA-concrete was analyzed using X-ray Fluorescence, Energy dispersive X-ray, X-ray diffraction analysis, transmission electron microscopy, and scanning electron microscope techniques. The radiation shielding assets of the examined Concrete samples, such as the linear attenuation coefficient (μ), half value layer (H1/2), tenth value layer (T1/10), and fast neutron removal cross-section were evaluated using the MCS5 Monte Carlo simulation algorithm and Phy-X software. The results showed that the linear attenuation for the GMN-concretes’ order is CO < MD < GD < NA < MD + NA < GD + NA. The GD + Na concrete sample presents the best neutron performance. The studied GMN-concrete samples provide the best protection against γ-rays and fast neutrons. Lastly, the excellent performance of the mixes of waste Granite, Marble, and Nano-Alumina on ordinary would pave the way for their employment as radiation shielding in various nuclear and medical facilities.

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The application of graphene/h-BN metamaterial in medical linear accelerators for reducing neutron leakage in the treatment room

Cited by 3 publications

References 23 publications

Evaluating deposited radiation energy amount and collision quantities of small-molecule radiosensitizers through Monte Carlo simulations

Evaluating deposited radiation energy amount and collision quantities of small-molecule radiosensitizers through Monte Carlo simulations

AI-Based Metamaterial Design

Influence of sustainable waste granite, marble and nano-alumina additives on ordinary concretes: a physical, structural, and radiological study

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