CAREER: Unraveling the interplay between thermodynamics and kinetics during the nucleation and growth of semiconductor, metal and molecular nanoparticles
CAREER: Unraveling the interplay between thermodynamics and kinetics during the nucleation and growth of semiconductor, metal and molecular nanoparticles
批准号:
1052808
负责人:
Jerome Delhommelle
金额:
$42.5万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-06-15 至 2017-05-31
中文摘要
该职业奖支持旨在控制纳米材料特性的计算研究和教育,以更充分地利用这些材料的应用潜力。虽然成功的合成策略已经被开发出来,但对纳米材料形成的分子机制的完整理解仍然是难以捉摸的。PI将使用分子模拟来研究这些机制。PI将专注于常见合成方法的代表性示例,包括从溶液中合成半导体和金属纳米颗粒以及通过气-液-固机制合成纳米线。通过非光化学激光诱导成核的分子的纳米粒子的形成也将被研究。PI旨在提出一个通用框架来模拟纳米材料的形成,并深入了解纳米材料形成的分子机制。新的模拟方法将被设计来确定关键的热力学性质,解开动力学和热力学之间的相互作用,并合理化的路径成核和生长。PI将建立在他的计算研究,设计一个跨学科的研究生水平的课程“分子建模和模拟”。通过桥接核心计算机科学课程和传统科学课程,这门课程被认为是科学计算博士课程的基石。在本科阶段,PI将领导化学和物理学之间的共同努力,以开发一个新的学位,强调纳米科学,并为学生在21世纪世纪的纳米技术职业生涯中不断增长的科学机会做好准备。PI将为通电做出贡献!外展计划,针对来自保留地和上中西部农村学区的5 - 8年级学生。PI将组织一个为期3天的夏令营,并结合基于计算机的学习经验,说明与可持续能源有关的化学现象。PI将参与扩大代表性不足群体,特别是美洲原住民参与的活动。非技术总结这个职业奖支持计算研究和教育,旨在了解纳米材料如何形成和生长,着眼于开发控制过程的策略。介于原子和大块物质的尺寸之间,纳米材料通常表现出独特的性质。 近年来,这些在纳米科学和纳米技术中越来越多地被利用。PI将使用计算机模拟来促进对纳米材料“种子”创建的分子机制的理解,以及它们如何通过特定的原子排列生长以实现其尺寸和形状。这项研究旨在确定各种纳米材料的形成途径,并可能导致改进合成这些材料的方法的新策略。对材料形成机制的理解的进展可能对纳米技术行业具有潜在的变革性,更普遍地说,对于结晶是关键单元操作的行业,例如制药公司,PI将建立在他的计算研究基础上,设计跨学科的研究生课程关于“分子建模与模拟”通过桥接核心计算机科学课程和传统科学课程,这门课程被认为是科学计算博士课程的基石。在本科阶段,PI将领导化学和物理学之间的共同努力,以开发一个新的学位,强调纳米科学,并为学生在21世纪世纪的纳米技术职业生涯中不断增长的科学机会做好准备。PI将为通电做出贡献!外展计划,针对来自保留地和上中西部农村学区的5 - 8年级学生。PI将组织一个为期3天的夏令营,并结合基于计算机的学习经验,说明与可持续能源有关的化学现象。PI将参与扩大代表性不足群体,特别是美洲原住民参与的活动。该奖项支持的活动将有助于扩大代表性不足的群体,特别是美洲原住民的参与。
英文摘要
TECHNICAL SUMMARYThis CAREER award supports computational research and education aimed at controlling the properties of nanomaterials to more fully exploit the potential of these materials for applications. While successful synthetic strategies have been developed, a complete understanding of the molecular mechanisms underlying the formation of nanomaterials has remained elusive.The PI will use molecular simulations to study these mechanisms. The PI will focus on examples representative of common synthetic methods, including the synthesis of semiconductor and metal nanoparticles from solutions and of nanowires through a Vapor-Liquid-Solid mechanism. The formation of nanoparticles of molecules through nonphotochemical laser-induced nucleation will also be investigated. The PI aims to propose a general framework to model the formation of nanomaterials, and to gain insight into the molecular mechanisms underlying the formation of nanomaterials. New simulation methods will be devised to determine key thermodynamic properties, unravel the interplay between kinetics and thermodynamics and rationalize the pathway to nucleation and growth. The PI will build on his computational research to design an interdisciplinary graduate level course on "Molecular Modeling and Simulations". By bridging core computer science courses and traditional science courses, this course is envisioned to be a cornerstone for the PhD program in Scientific Computing. At the undergraduate level, the PI will lead a joint effort between Chemistry and Physics to develop a new degree that will emphasize nanoscience and prepare students for growing scientific opportunities in the nanotechnology-enabled careers of the 21st century. The PI will contribute to the Power ON! outreach program, aimed at 5th-8th graders from reservation-based and rural Upper Midwest school districts. The PI will organize a 3-day summer camp and incorporate a computer-based learning experience to illustrate chemical phenomena related to sustainable energy. The PI will engage in activities that will broaden the participation of underrepresented groups, especially Native Americans. NON-TECHNICAL SUMMARYThis CAREER award supports computational research and education aimed at understanding how nanoscale materials form and grow, with an eye to develop strategies to control the process. Intermediate between the dimensions of atoms and of bulk matter, nanoscale materials often exhibit unique properties. These are being increasingly exploited in recent years in nanoscience and nanotechnology. The PI will use computer simulation to advance understanding of the molecular mechanisms that underlie the creation of the "seeds" of nanoscale materials and how they grow to achieve their size and shape with the specific arrangement of atoms. This research aims to determine the pathway of formation of a variety of nanomaterials and may lead to new strategies for improving methods to synthesize these materials.Advances in the understanding of the mechanisms of formation of materials could be potentially transformative for the nanotechnology industry, and, more generally, for industries in which crystallization is a key unit operation such as e.g. for pharmaceutical companiesThe PI will build on his computational research to design an interdisciplinary graduate level course on "Molecular Modeling and Simulations". By bridging core computer science courses and traditional science courses, this course is envisioned to be a cornerstone for the PhD program in Scientific Computing. At the undergraduate level, the PI will lead a joint effort between Chemistry and Physics to develop a new degree that will emphasize nanoscience and prepare students for growing scientific opportunities in the nanotechnology-enabled careers of the 21st century. The PI will contribute to the Power ON! outreach program, aimed at 5th-8th graders from reservation-based and rural Upper Midwest school districts. The PI will organize a 3-day summer camp and incorporate a computer-based learning experience to illustrate chemical phenomena related to sustainable energy. The PI will engage in activities that will broaden the participation of underrepresented groups, especially Native Americans. This award supports activities that will help broaden the participation of underrepresented groups, especially Native Americans.
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会议论文
Collaborative Research:CDS&E:D3SC:Topology, Rare-event Simulation, and Machine Learning as Routes to Predicting Molecular Crystal Structures and Understanding Their Phase Behav
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批准号:2240526
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项目类别:Standard Grant
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资助金额:$19.39万
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财政年份:2022
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负责人:Jerome Delhommelle
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依托单位:
Collaborative Research:CDS&E:D3SC:Topology, Rare-event Simulation, and Machine Learning as Routes to Predicting Molecular Crystal Structures and Understanding Their Phase Behav
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批准号:1955403
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项目类别:Standard Grant
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资助金额:$19.39万
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财政年份:2020
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负责人:Jerome Delhommelle
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依托单位:
海外基金