Flexible and Scalable Moment Method Simulations for Radiation Transport and Nuclear Medicine Applications

适用于辐射传输和核医学应用的灵活且可扩展的矩量法模拟

基本信息

  • 批准号:
    1952878
  • 负责人:
  • 金额:
    $ 24.32万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-07-01 至 2024-06-30
  • 项目状态:
    已结题

项目摘要

This project develops computational methods and software tools to enable faster and more robust simulations of radiation transport, as well as the visualization of simulation results via virtual reality. Radiation transport and the transport of charged particles are central processes in many important complex systems, and they are crucial to incorporate in simulations for nuclear reactors, nuclear medicine, plasma, astrophysics, nuclear waste storage planning, and climate models. A particular application in this project is radiotherapy in cancer treatment. Novel computational approaches that facilitate optimal treatment planning in nuclear medicine will be produced in the form of publicly available software.This project builds and extends the open-source StaRMAP software through: (A) fundamental numerical analysis research, including new moment closures that combine simplicity with robustness, and efficient time-stepping approaches that automatically yield effective steady state radiation solvers in the diffusion limit; (B) high-performance computing research, by casting StaRMAP into a stencil code framework to obtain highly scalable 3D radiation solvers on high performance computing clusters; (C) interactions with new cyberinfrastructure, by coupling the software with virtual reality visualization; and (D) application research, by extending the StaRMAP code to nuclear medicine simulations, particularly radiotherapy with charged particles. The research is augmented and facilitated by community-building efforts around the StaRMAP project and training for students at the interface of computing, simulation, and virtual reality.This project is supported by the MPS/DMS/CDS&E-MSS program and by the CISE/OAC program.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
该项目开发计算方法和软件工具,以实现更快,更强大的辐射传输模拟,以及通过虚拟现实模拟结果的可视化。辐射输运和带电粒子的输运是许多重要复杂系统的核心过程,它们对于核反应堆、核医学、等离子体、天体物理学、核废料储存规划和气候模型的模拟至关重要。该项目的一个具体应用是癌症治疗中的放射疗法。将以公开软件的形式产生有助于核医学最佳治疗规划的新计算方法,该项目通过以下方式建立和扩展开放源代码StaRMAP软件:(A)基础数值分析研究,包括将联合收割机简单性与鲁棒性结合起来的新矩闭合,以及自动产生扩散极限下有效稳态辐射解算器的有效时间步进方法;(B)高性能计算研究,将StaRMAP嵌入模板代码框架,在高性能计算集群上获得高度可扩展的3D辐射求解器;(C)与新的网络基础设施的互动,将软件与虚拟现实可视化相结合;(D)应用研究,将StaRMAP代码扩展到核医学模拟,特别是带电粒子放射治疗。该研究通过围绕StaRMAP项目的社区建设努力以及对学生进行计算、模拟和虚拟现实界面的培训而得到增强和促进。该项目得到MPS/DMS/CDS E-MSS计划和CISE/OAC计划的支持。该奖项反映了NSF的法定使命,并通过使用基金会的智力价值和更广泛的影响审查标准进行评估而被认为值得支持。

项目成果

期刊论文数量(5)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Design of DIRK Schemes with High Weak Stage Order
  • DOI:
    10.2140/camcos.2023.18.1
  • 发表时间:
    2022-04
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Abhijit Biswas;D. Ketcheson;Benjamin Seibold;D. Shirokoff
  • 通讯作者:
    Abhijit Biswas;D. Ketcheson;Benjamin Seibold;D. Shirokoff
Structural Properties of the Stability of Jamitons
Jamitons 稳定性的结构特性
{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Benjamin Seibold其他文献

Minimal positive stencils in meshfree finite difference methods for the Poisson equation
Macroscopic Manifestations of Traffic Waves in Microscopic Models
交通波在微观模型中的宏观表现
  • DOI:
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Nour Khoudari;Rabie Ramadan;Megan Ross;Benjamin Seibold
  • 通讯作者:
    Benjamin Seibold
Optimal prediction for moment models: crescendo diffusion and reordered equations
矩模型的最优预测:渐强扩散和重新排序的方程
The Flow Equation Approach To Many Particle Systems Springer Tracts In Modern Physics 217 Band 217 By Stefan Kehrein
许多粒子系统的流动方程方法 现代物理学 Springer Tracts 217 Band 217 作者:Stefan Kehrein
  • DOI:
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Benjamin Seibold
  • 通讯作者:
    Benjamin Seibold
Optimal Prediction in Molecular Dynamics
分子动力学中的最优预测
  • DOI:
    10.1515/156939604323091199
  • 发表时间:
    2004
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Benjamin Seibold
  • 通讯作者:
    Benjamin Seibold

Benjamin Seibold的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Benjamin Seibold', 18)}}的其他基金

Collaborative Research: Accuracy-Preserving Robust Time-Stepping Methods for Fluid Problems
协作研究:流体问题的保持精度的鲁棒时间步进方法
  • 批准号:
    2309728
  • 财政年份:
    2023
  • 资助金额:
    $ 24.32万
  • 项目类别:
    Standard Grant
Collaborative Research: Euler-Based Time-Stepping with Optimal Stability and Accuracy for Partial Differential Equations
协作研究:具有最佳稳定性和精度的偏微分方程基于欧拉的时间步进
  • 批准号:
    2012271
  • 财政年份:
    2020
  • 资助金额:
    $ 24.32万
  • 项目类别:
    Standard Grant
Collaborative Research: Overcoming Order Reduction and Stability Restrictions in High-Order Time-Stepping
协作研究:克服高阶时间步长中的阶数降低和稳定性限制
  • 批准号:
    1719640
  • 财政年份:
    2017
  • 资助金额:
    $ 24.32万
  • 项目类别:
    Standard Grant
CPS: Synergy: Collaborative Research: Control of Vehicular Traffic Flow via Low Density Autonomous Vehicles
CPS:协同:协作研究:通过低密度自动驾驶车辆控制车流
  • 批准号:
    1446690
  • 财政年份:
    2015
  • 资助金额:
    $ 24.32万
  • 项目类别:
    Standard Grant
A computational framework for atherosclerotic plaque growth simulations
动脉粥样硬化斑块生长模拟的计算框架
  • 批准号:
    1318641
  • 财政年份:
    2013
  • 资助金额:
    $ 24.32万
  • 项目类别:
    Continuing Grant
Collaborative Research: Gradient-augmented level set methods and jet schemes
合作研究:梯度增强水平集方法和喷射方案
  • 批准号:
    1318709
  • 财政年份:
    2013
  • 资助金额:
    $ 24.32万
  • 项目类别:
    Continuing Grant
Collaborative Research: Numerical approaches for incompressible viscous flows with high order accuracy up to the boundary
合作研究:不可压缩粘性流的数值方法,具有高阶精度直至边界
  • 批准号:
    1115269
  • 财政年份:
    2011
  • 资助金额:
    $ 24.32万
  • 项目类别:
    Standard Grant
Collaborative Research: Phantom traffic jams, continuum modeling, and connections with detonation wave theory
合作研究:虚拟交通堵塞、连续介质建模以及与爆震波理论的联系
  • 批准号:
    1007899
  • 财政年份:
    2010
  • 资助金额:
    $ 24.32万
  • 项目类别:
    Standard Grant

相似国自然基金

Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
  • 批准号:
  • 批准年份:
    2024
  • 资助金额:
    万元
  • 项目类别:
    合作创新研究团队

相似海外基金

Scalable indoor power harvesters using halide perovskites
使用卤化物钙钛矿的可扩展室内能量收集器
  • 批准号:
    MR/Y011686/1
  • 财政年份:
    2025
  • 资助金额:
    $ 24.32万
  • 项目类别:
    Fellowship
DREAM Sentinels: Multiplexable and programmable cell-free ADAR-mediated RNA sensing platform (cfRADAR) for quick and scalable response to emergent viral threats
DREAM Sentinels:可复用且可编程的无细胞 ADAR 介导的 RNA 传感平台 (cfRADAR),可快速、可扩展地响应突发病毒威胁
  • 批准号:
    2319913
  • 财政年份:
    2024
  • 资助金额:
    $ 24.32万
  • 项目类别:
    Standard Grant
Collaborative Research: Scalable Nanomanufacturing of Perovskite-Analogue Nanocrystals via Continuous Flow Reactors
合作研究:通过连续流反应器进行钙钛矿类似物纳米晶体的可扩展纳米制造
  • 批准号:
    2315997
  • 财政年份:
    2024
  • 资助金额:
    $ 24.32万
  • 项目类别:
    Standard Grant
RestoreDNA: Development of scalable eDNA-based solutions for biodiversity regulators and nature-related disclosure
RestoreDNA:为生物多样性监管机构和自然相关披露开发可扩展的基于 eDNA 的解决方案
  • 批准号:
    10086990
  • 财政年份:
    2024
  • 资助金额:
    $ 24.32万
  • 项目类别:
    Collaborative R&D
Scalable and Automated Tuning of Spin-based Quantum Computer Architectures
基于自旋的量子计算机架构的可扩展和自动调整
  • 批准号:
    2887634
  • 财政年份:
    2024
  • 资助金额:
    $ 24.32万
  • 项目类别:
    Studentship
FAST CAR-T: Faster, Adaptive and Scalable Technologies For CAR-T Manufacture
FAST CAR-T:更快、自适应和可扩展的 CAR-T 制造技术
  • 批准号:
    EP/Z532770/1
  • 财政年份:
    2024
  • 资助金额:
    $ 24.32万
  • 项目类别:
    Research Grant
CAREER: Scalable Physics-Inspired Ising Computing for Combinatorial Optimizations
职业:用于组合优化的可扩展物理启发伊辛计算
  • 批准号:
    2340453
  • 财政年份:
    2024
  • 资助金额:
    $ 24.32万
  • 项目类别:
    Continuing Grant
Collaborative Research: SHF: Small: Efficient and Scalable Privacy-Preserving Neural Network Inference based on Ciphertext-Ciphertext Fully Homomorphic Encryption
合作研究:SHF:小型:基于密文-密文全同态加密的高效、可扩展的隐私保护神经网络推理
  • 批准号:
    2412357
  • 财政年份:
    2024
  • 资助金额:
    $ 24.32万
  • 项目类别:
    Standard Grant
SHF: Small: QED - A New Approach to Scalable Verification of Hardware Memory Consistency
SHF:小型:QED - 硬件内存一致性可扩展验证的新方法
  • 批准号:
    2332891
  • 财政年份:
    2024
  • 资助金额:
    $ 24.32万
  • 项目类别:
    Standard Grant
SBIR Phase I: Scalable Magnetically-Geared Modular Space Manipulator for In-space Manufacturing and Active Debris Remediation Missions
SBIR 第一阶段:用于太空制造和主动碎片修复任务的可扩展磁力齿轮模块化空间操纵器
  • 批准号:
    2335583
  • 财政年份:
    2024
  • 资助金额:
    $ 24.32万
  • 项目类别:
    Standard Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了