Collaborative Research: Frameworks: Cyberloop for Accelerated Bionanomaterials Design

合作研究:框架:加速生物纳米材料设计的 Cyber​​loop

基本信息

  • 批准号:
    1931587
  • 负责人:
  • 金额:
    $ 62万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2019
  • 资助国家:
    美国
  • 起止时间:
    2019-10-01 至 2024-09-30
  • 项目状态:
    已结题

项目摘要

The evolution of biological and materials systems must be understood at many scales in order to achieve groundbreaking advances. Areas that are impacted include the health sciences, materials sciences, energy conversion, sustainability, and overall quality of life. Molecular simulations using complex models and configurations play an increasing role in such efforts. They address the limitations of experiments which study events over very small time and length scales. Such simulations require great expertise due to the complexity of the systems being studied. and the tools being used. This is particularly true for systems containing both inorganic and biological materials. This project will help researchers to quickly set up complex simulations, carry out the simulations with high accuracy, and assess uncertainties in the results. They will help develop the Cyberloop computational infrastructure. Cyberloop will dramatically reduce the time required to perform state-of-the-art simulations. They will also help to educate the next generation of researchers in this important field.Cyberloop will integrate three existing successful platforms for soft matter and solid state simulations (IFF, OpenKIM, and CHARMM-GUI) into a single unified framework. These systems will work together to enable users to set up complex bionanomaterial configurations, select reliable validated force fields, generate input scripts for popular simulation platforms, and assess the uncertainty in the results. The integration of these tools requires a host of technological and scientific innovations including: automated charge assignment protocols and file conversions, expansion of the Interface force field (IFF) to new systems, generation of new surface models, extension of the Open Knowledgebase of Interatomic Models (OpenKIM) to bonded force fields, development of machine learning based force field selection and uncertainty tools, and development of new Nanomaterial Builder and Bionano Builder modules in CHARMM-GUI. Cyberloop fulfils a critical need in the user community to discover and engineer new multi-component bionanomaterials to create the next generation of therapeutics, materials for energy conversion, and ultrastrong composites. The project will facilitate the training of graduate students, undergraduate students, and postdoctoral scholars, including underrepresented and minority students, at the participating institutions to prepare an interdisciplinary scientific workforce with significant experience in cyber-enabled technology. Online educational materials and tutorials will help increase participation in bionanomaterial research across academia and government. This award is jointly supported by the NSF Office of Advanced Cyberinfrastructure, and the Division of Materials Research and the Division of Chemistry within the NSF Directorate of Mathematical and Physical Sciences.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.
生物和材料系统的进化必须在许多尺度上理解,以实现突破性的进展。受影响的领域包括健康科学,材料科学,能源转换,可持续性和整体生活质量。分子模拟使用复杂的模型和配置发挥越来越大的作用,在这样的努力。它们解决了在非常小的时间和长度尺度上研究事件的实验的局限性。由于所研究系统的复杂性,这种模拟需要大量的专业知识。以及所使用的工具。这对于含有无机和生物材料的系统尤其如此。该项目将帮助研究人员快速建立复杂的模拟,以高精度进行模拟,并评估结果的不确定性。他们将帮助开发Cyberloop计算基础设施。Cyberloop将大大减少执行最先进模拟所需的时间。Cyberloop将把现有的三个成功的软物质和固态模拟平台(IFF、OpenKIM和CHARMM-GUI)整合到一个统一的框架中。这些系统将共同工作,使用户能够设置复杂的生物纳米材料配置,选择可靠的验证力场,为流行的模拟平台生成输入脚本,并评估结果的不确定性。这些工具的整合需要大量的技术和科学创新,包括:自动化电荷分配协议和文件转换,将界面力场(IFF)扩展到新系统,生成新的表面模型,将原子间模型开放知识库(OpenKIM)扩展到键合力场,开发基于机器学习的力场选择和不确定性工具,在CHARMM-GUI中开发新的Nanomaterial Builder和Bionano Builder模块。Cyberloop满足了用户社区的关键需求,即发现和设计新的多组分生物纳米材料,以创造下一代治疗方法,能量转换材料和超强复合材料。该项目将促进在参与机构培训研究生、本科生和博士后学者,包括代表性不足的学生和少数民族学生,以培养一支在网络技术方面具有丰富经验的跨学科科学队伍。在线教育材料和教程将有助于增加学术界和政府对生物纳米材料研究的参与。该奖项由美国国家科学基金会高级网络基础设施办公室(NSF Office of Advanced Cyberinfrastructure)、美国国家科学基金会数学和物理科学理事会(NSF Directorate of Mathematical and Physical Sciences)下属的材料研究部(Division of Materials Research)和化学部(Division of Chemistry)共同支持。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

期刊论文数量(20)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Patterning of Self-Assembled Monolayers of Amphiphilic Multisegment Ligands on Nanoparticles and Design Parameters for Protein Interactions
  • DOI:
    10.1021/acsnano.1c08695
  • 发表时间:
    2022-05-22
  • 期刊:
  • 影响因子:
    17.1
  • 作者:
    Hoff,Samuel E.;Di Silvio,Desire;Heinz,Hendrik
  • 通讯作者:
    Heinz,Hendrik
Adsorption and Diffusion of Oxygen on Pure and Partially Oxidized Metal Surfaces in Ultrahigh Resolution
超高分辨率氧气在纯金属和部分氧化金属表面的吸附和扩散
  • DOI:
    10.1021/acs.nanolett.2c00490
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    10.8
  • 作者:
    Kanhaiya, Krishan;Heinz, Hendrik
  • 通讯作者:
    Heinz, Hendrik
Accurate and Compatible Force Fields for Molecular Oxygen, Nitrogen, and Hydrogen to Simulate Gases, Electrolytes, and Heterogeneous Interfaces
准确且兼容的氧、氮和氢分子力场,可模拟气体、电解质和异质界面
Implementing Reactivity in Molecular Dynamics Simulations with the Interface Force Field (IFF-R) and Other Harmonic Force Fields
  • DOI:
  • 发表时间:
    2021-07
  • 期刊:
  • 影响因子:
    0
  • 作者:
    J. Winetrout;Krishan Kanhaiya;Geeta Sachdeva;R. Pandey;Behzad Damirchi;A. Duin;G. Odegard;H. Heinz
  • 通讯作者:
    J. Winetrout;Krishan Kanhaiya;Geeta Sachdeva;R. Pandey;Behzad Damirchi;A. Duin;G. Odegard;H. Heinz
CHARMM-GUI Nanomaterial Modeler for Modeling and Simulation of Nanomaterial Systems.
  • DOI:
    10.1021/acs.jctc.1c00996
  • 发表时间:
    2022-01-11
  • 期刊:
  • 影响因子:
    5.5
  • 作者:
    Choi YK;Kern NR;Kim S;Kanhaiya K;Afshar Y;Jeon SH;Jo S;Brooks BR;Lee J;Tadmor EB;Heinz H;Im W
  • 通讯作者:
    Im W
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Hendrik Heinz其他文献

En route to multi-model scheme for clinker comminution with chemical grinding aids
正在采用化学助磨剂粉碎熟料的多模型方案
  • DOI:
    10.1179/1743676115y.0000000023
  • 发表时间:
    2015
  • 期刊:
  • 影响因子:
    2.2
  • 作者:
    Ratan K Mishra;D. Geissbuhler;Humberto A. Carmona;F. Wittel;M. Sawley;Martin Weibel;Emmanuel Gallucci;Hans J. Herrmann;Hendrik Heinz;R. Flatt
  • 通讯作者:
    R. Flatt
Multiscale Experiments and Modeling in Biomaterials and Biological Materials, Part II
  • DOI:
    10.1007/s11837-021-04758-z
  • 发表时间:
    2021-06-21
  • 期刊:
  • 影响因子:
    2.300
  • 作者:
    Jing Du;Dinesh Katti;Hendrik Heinz
  • 通讯作者:
    Hendrik Heinz
Hierarchically structured bioinspired nanocomposites
分层结构的仿生纳米复合材料
  • DOI:
    10.1038/s41563-022-01384-1
  • 发表时间:
    2022-11-28
  • 期刊:
  • 影响因子:
    38.500
  • 作者:
    Dhriti Nepal;Saewon Kang;Katarina M. Adstedt;Krishan Kanhaiya;Michael R. Bockstaller;L. Catherine Brinson;Markus J. Buehler;Peter V. Coveney;Kaushik Dayal;Jaafar A. El-Awady;Luke C. Henderson;David L. Kaplan;Sinan Keten;Nicholas A. Kotov;George C. Schatz;Silvia Vignolini;Fritz Vollrath;Yusu Wang;Boris I. Yakobson;Vladimir V. Tsukruk;Hendrik Heinz
  • 通讯作者:
    Hendrik Heinz
Atomic-scale identi�cation of the active sites of nanocatalysts
纳米催化剂活性位点的原子尺度鉴定
  • DOI:
  • 发表时间:
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Yao Yang;Jihan Zhou;Zipeng Zhao;Geng Sun;S. Moniri;Colin Ophus;Yongsoo Yang;Ziyang Wei;Yakun Yuan;Cheng Zhu;Yang Liu;Qiang Sun;Qingying Jia;Hendrik Heinz;J. Ciston;P. Ercius;P. Sautet;Yu Huang;J. Miao
  • 通讯作者:
    J. Miao
Multiscale Experiments and Modeling in Biomaterials and Biological Materials, Part I
  • DOI:
    10.1007/s11837-021-04692-0
  • 发表时间:
    2021-04-21
  • 期刊:
  • 影响因子:
    2.300
  • 作者:
    Jing Du;Dinesh Katti;Hendrik Heinz
  • 通讯作者:
    Hendrik Heinz

Hendrik Heinz的其他文献

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{{ truncateString('Hendrik Heinz', 18)}}的其他基金

Collaborative Research: DMREF: Data-Driven Prediction of Hybrid Organic-Inorganic Structures
合作研究:DMREF:混合有机-无机结构的数据驱动预测
  • 批准号:
    2323546
  • 财政年份:
    2023
  • 资助金额:
    $ 62万
  • 项目类别:
    Continuing Grant
Bioinspired Structural Composites: Advances in Experiments, Simulations, and AI Based Design
仿生结构复合材料:实验、模拟和基于人工智能的设计的进展
  • 批准号:
    2214718
  • 财政年份:
    2022
  • 资助金额:
    $ 62万
  • 项目类别:
    Standard Grant
Tailored Interphases for High-Strength and Functional Composites - Advances in Experiments, Simulations and AI-Based Designs
高强度和功能复合材料的定制界面——实验、模拟和基于人工智能的设计的进展
  • 批准号:
    1941104
  • 财政年份:
    2019
  • 资助金额:
    $ 62万
  • 项目类别:
    Standard Grant
Collaborative Research: I-AIM: Interpretable Augmented Intelligence for Multiscale Material Discovery
合作研究:I-AIM:用于多尺度材料发现的可解释增强智能
  • 批准号:
    1940335
  • 财政年份:
    2019
  • 资助金额:
    $ 62万
  • 项目类别:
    Standard Grant
Translocation, biological fate, stability, and effective dose of engineered nanomaterials for nanosafety studies
用于纳米安全研究的工程纳米材料的易位、生物命运、稳定性和有效剂量
  • 批准号:
    1530790
  • 财政年份:
    2016
  • 资助金额:
    $ 62万
  • 项目类别:
    Continuing Grant
DMREF/Collaborative Research: Design and Testing of Nanoalloy Catalysts in 3D Atomic Resolution
DMREF/合作研究:3D 原子分辨率纳米合金催化剂的设计和测试
  • 批准号:
    1623947
  • 财政年份:
    2015
  • 资助金额:
    $ 62万
  • 项目类别:
    Standard Grant
DMREF/Collaborative Research: Design and Testing of Nanoalloy Catalysts in 3D Atomic Resolution
DMREF/合作研究:3D 原子分辨率纳米合金催化剂的设计和测试
  • 批准号:
    1437355
  • 财政年份:
    2014
  • 资助金额:
    $ 62万
  • 项目类别:
    Standard Grant
CAREER: Unraveling Molecular Mechanisms of Biomineralization
职业:揭示生物矿化的分子机制
  • 批准号:
    0955071
  • 财政年份:
    2010
  • 资助金额:
    $ 62万
  • 项目类别:
    Continuing Grant
Travel Support for International Speakers for a Symposium on Simulation of Hybrid Interfaces and Polymeric Materials at the 240th ACS National Meeting in Boston, MA
为参加在马萨诸塞州波士顿举行的第 240 届 ACS 全国会议混合接口和聚合物材料仿真研讨会的国际演讲者提供差旅支持
  • 批准号:
    1038782
  • 财政年份:
    2010
  • 资助金额:
    $ 62万
  • 项目类别:
    Standard Grant

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