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CRI: Acquisition of Rice Physical and Biological Computing (PBC) Cluster

CRI: Acquisition of Rice Physical and Biological Computing (PBC) Cluster
CRI:收购水稻物理与生物计算(PBC)集群
批准号:
0454333
负责人:
Lydia Kavraki
金额:
$29.1万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2005
资助国家:
美国
项目状态:
已结题
起止时间:
2005-07-01 至 2008-06-30

项目摘要

项目成果

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中文摘要
翻译
摘要建议:CNS 0454333PI:Lydia KavrakiInstitution:William Marsh莱斯大学项目:NSF 04-588 Cise计算研究基础设施标题:CRI:收购赖斯物理和生物计算(PBC)集群赖斯大学的研究人员将获得一个32节点的计算机集群,以推进对表示、算法、系统架构和新的使能技术的研究,以解决复杂的几何问题,特别是来自物理和生物科学的问题。莱斯小组的主要合作项目是:(A)从弹性物体到生物分子的可变形物体的建模和操作,(B)开发受机器人启发的分子运动和功能研究方法,以及(C)生物分子系统的降维建模。基础设施将使他们能够开发和使用计算工具来表示、模拟所有尺度的物理世界并与其交互。该项目的更广泛影响包括在研究生培训中使用它,支持与莱斯和德克萨斯医学中心的合作,以及在并行和分布式计算主题课程中使用。该设施还将支持莱斯大学参与CRA分布式指导项目的学生。
英文摘要
AbstractProposal: CNS 0454333PI: Lydia KavrakiInstitution: William Marsh Rice University Program: NSF 04-588 CISE Computing Research InfrastructureTitle: CRI: Acquisition of Rice Physical and Biological Computing (PBC) Cluster Rice University investigators will acquire a 32 node computer cluster to advance research on representations, algorithms, system architectures, and new enabling technologies for solving complex geometric problems, particularly those arising from physical and biological sciences. The main collaborative projects of the Rice group are: (a) the modeling and manipulation of deformable objects that range from elastic objects to bio-molecules, (b) the development of robotics-inspired methods for the study of molecular motion and function, and (c) the reduced-dimension modeling of bio-molecular systems. The infrastructure will enable them to develop and use computational tools to represent, simulate, and interact with the physical world at all scales. Broader impacts of this project include its use in graduate training, supporting collaborations with Rice and the Texas Medical Center, and use in parallel and distributed computing topics courses. The facility will also support students at Rice participating in the CRA Distributed Mentoring project.
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会议论文
A Framework for Manipulation Planning and Execution under Uncertainty in Partially-Known Environments
  • 批准号:
    2336612
  • 项目类别:
    Standard Grant
  • 资助金额:
    $71.53万
  • 财政年份:
    2024
  • 负责人:
    Lydia Kavraki
  • 依托单位:
Collaborative Research [FW-HTF-RM]: The Future of Nurse Training: Robotic Teaching Assistant Systems for Nursing Instructors
  • 批准号:
    2326390
  • 项目类别:
    Standard Grant
  • 资助金额:
    $82.8万
  • 财政年份:
    2023
  • 负责人:
    Lydia Kavraki
  • 依托单位:
Collaborative Research: FW-HTF-R: The Future of Robot-Assisted Nursing: Interactive AI Frameworks for Upskilling Nurses and Customizing Robot Assistance
  • 批准号:
    2222876
  • 项目类别:
    Standard Grant
  • 资助金额:
    $12.17万
  • 财政年份:
    2022
  • 负责人:
    Lydia Kavraki
  • 依托单位:
IIBR:Informatics:RAPID: Structure-based identification of SARS-derived peptides with potential to induce broad protective immunity
  • 批准号:
    2033262
  • 项目类别:
    Standard Grant
  • 资助金额:
    $11.97万
  • 财政年份:
    2020
  • 负责人:
    Lydia Kavraki
  • 依托单位:
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