Tuning material properties under high pressure: predicting new materials via advanced ab initio methods
在高压下调整材料性能:通过先进的从头算方法预测新材料
基本信息
- 批准号:RGPIN-2018-04303
- 负责人:
- 金额:$ 1.75万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Discovery Grants Program - Individual
- 财政年份:2018
- 资助国家:加拿大
- 起止时间:2018-01-01 至 2019-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The discovery of new materials with desirable properties is a driving force for modern technologies. However, experimental exploration of new materials (synthesis-test-repeat cycle) is expensive and extremely time-consuming. With the rapid progress in computing techniques over time, computer simulations now can accurately reproduce materials' behaviors across microscopic and macroscopic dimensions, and begin to be used to aid and direct experimental search for new materials. The ultimate goal of computational material discovery is to replace tedious experimental procedure and achieve ‘materials by design', where new materials with targeted properties are predicted on supercomputers, before being synthesized in a laboratory.******In this NSERC Discovery program, we will develop new methods for computational material discovery, and combine them with high performance computation, to predict new materials in three targeted categories, (1) superconducting materials; materials that conduct electricity without resistance when cooled sufficiently, (2) superhard materials; materials that are as hard as or even harder than natural diamond, and (3) high-energy-density materials; materials with a high energy content that could be utilized as energy carriers. Building on our strong expertise in high-pressure science, we will focused on the materials that can potentially be synthesized under extreme pressure. Just like diamonds can be synthesized under high pressure, we will employ pressure to access new states of matter that cannot be formed using other techniques.******This program will progress through four steps, (1) development of physical principles that dictate the properties of interest, such as preferred bonding type and electronic structure, (2) prediction of new (virtual) compounds that can best satisfy these principles, (3) determination of stable crystal structures of the virtual compounds, and identification of thermodynamic conditions for their formation and recovery, and (4) experimental confirmation of predicted materials in collaboration with leading experimental groups.******Successful achievement of the objectives is expected to have significant impact on material science. New materials, and new knowledge, will be discovered, which will advance the understanding of material behaviors under extreme pressures. The new suite of theoretical methods developed in this program will enable us to direct the experimental search for new materials. Graduate and undergraduate students will be trained in this program with highly desired expertise and skills, particularly in materials science, programming, high performance computation, mathematical analysis and modeling, which are highly sort after in careers in academia, business, and industry in Canada.**
具有理想性能的新材料的发现是现代技术的驱动力。然而,新材料的实验探索(合成-测试-重复循环)是昂贵且极其耗时的。随着计算技术的快速发展,计算机模拟现在可以准确地再现材料在微观和宏观尺度上的行为,并开始用于辅助和指导新材料的实验研究。计算材料发现的最终目标是取代繁琐的实验程序,实现“设计材料”,即在实验室合成之前,在超级计算机上预测具有目标特性的新材料。在这个NSERC发现计划中,我们将开发新的计算材料发现方法,并将其与高性能计算相结合,预测三个目标类别的新材料,(1)超导材料;当冷却充分时导电而无电阻的材料,(2)超硬材料;与天然金刚石一样硬或甚至比天然金刚石更硬的材料,以及(3)高能量密度材料;具有可用作能量载体的高能量含量的材料。基于我们在高压科学方面的强大专业知识,我们将专注于可以在极压下合成的材料。就像金刚石可以在高压下合成一样,我们将利用压力来获得使用其他技术无法形成的新物质状态。该计划将通过四个步骤进行,(1)发展决定感兴趣的性质的物理原理,例如优选的键合类型和电子结构,(2)预测能够最好地满足这些原理的新(虚拟)化合物,(3)确定虚拟化合物的稳定晶体结构,并确定其形成和回收的热力学条件,(4)与领先的实验组合作,对预测材料进行实验验证。**这些目标的成功实现预计将对材料科学产生重大影响。新材料和新知识将被发现,这将促进对极端压力下材料行为的理解。该计划中开发的一套新的理论方法将使我们能够指导新材料的实验研究。研究生和本科生将在该计划中接受培训,具有高度期望的专业知识和技能,特别是在材料科学,编程,高性能计算,数学分析和建模方面,这些都是加拿大学术界,商业和工业界的职业生涯。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Yao, Yansun其他文献
Stable BaCl solid at high pressure: Prediction and characterization using first principles approach
- DOI:
10.1063/1.5006215 - 发表时间:
2017-12-21 - 期刊:
- 影响因子:3.2
- 作者:
Adeleke, Adebayo A.;Jossou, Ericmoore;Yao, Yansun - 通讯作者:
Yao, Yansun
Superconductivity in high-pressure solids
高压固体中的超导性
- DOI:
10.1088/0953-8984/19/42/425208 - 发表时间:
2007-09 - 期刊:
- 影响因子:0
- 作者:
Ma, Yanming;Tse, John S.;Yao, Yansun - 通讯作者:
Yao, Yansun
Crystal structures of transition metal pernitrides predicted from first principles.
根据第一原理预测过渡金属过氮化物的晶体结构
- DOI:
10.1039/c8ra07814a - 发表时间:
2018-10-26 - 期刊:
- 影响因子:3.9
- 作者:
Yu, Rongmei;Sun, Ermiao;Jiao, Liguang;Cai, Yongmao;Wang, Hongbo;Yao, Yansun - 通讯作者:
Yao, Yansun
Single-bonded allotrope of nitrogen predicted at high pressure
- DOI:
10.1103/physrevb.96.224104 - 发表时间:
2017-12-26 - 期刊:
- 影响因子:3.7
- 作者:
Adeleke, Adebayo A.;Greschner, Michael J.;Yao, Yansun - 通讯作者:
Yao, Yansun
Two good metals make a semiconductor: A potassium-nickel compound under pressure
- DOI:
10.1103/physrevb.102.134120 - 发表时间:
2020-10-29 - 期刊:
- 影响因子:3.7
- 作者:
Adeleke, Adebayo A.;Stavrou, Elissaios;Yao, Yansun - 通讯作者:
Yao, Yansun
Yao, Yansun的其他文献
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{{ truncateString('Yao, Yansun', 18)}}的其他基金
Tuning material properties under high pressure: predicting new materials via advanced ab initio methods
在高压下调整材料性能:通过先进的从头算方法预测新材料
- 批准号:
RGPIN-2018-04303 - 财政年份:2022
- 资助金额:
$ 1.75万 - 项目类别:
Discovery Grants Program - Individual
Tuning material properties under high pressure: predicting new materials via advanced ab initio methods
在高压下调整材料性能:通过先进的从头算方法预测新材料
- 批准号:
RGPIN-2018-04303 - 财政年份:2021
- 资助金额:
$ 1.75万 - 项目类别:
Discovery Grants Program - Individual
Tuning material properties under high pressure: predicting new materials via advanced ab initio methods
在高压下调整材料性能:通过先进的从头算方法预测新材料
- 批准号:
RGPIN-2018-04303 - 财政年份:2020
- 资助金额:
$ 1.75万 - 项目类别:
Discovery Grants Program - Individual
Tuning material properties under high pressure: predicting new materials via advanced ab initio methods
在高压下调整材料性能:通过先进的从头算方法预测新材料
- 批准号:
RGPIN-2018-04303 - 财政年份:2019
- 资助金额:
$ 1.75万 - 项目类别:
Discovery Grants Program - Individual
Prediction and characterization of the structures and properties of new technologically important materials using advanced condensed-matter theoretical methods
使用先进的凝聚态理论方法预测和表征具有重要技术意义的新技术材料的结构和性能
- 批准号:
435836-2013 - 财政年份:2017
- 资助金额:
$ 1.75万 - 项目类别:
Discovery Grants Program - Individual
Prediction and characterization of the structures and properties of new technologically important materials using advanced condensed-matter theoretical methods
使用先进的凝聚态理论方法预测和表征具有重要技术意义的新技术材料的结构和性能
- 批准号:
435836-2013 - 财政年份:2016
- 资助金额:
$ 1.75万 - 项目类别:
Discovery Grants Program - Individual
Prediction and characterization of the structures and properties of new technologically important materials using advanced condensed-matter theoretical methods
使用先进的凝聚态理论方法预测和表征具有重要技术意义的新技术材料的结构和性能
- 批准号:
435836-2013 - 财政年份:2015
- 资助金额:
$ 1.75万 - 项目类别:
Discovery Grants Program - Individual
Prediction and characterization of the structures and properties of new technologically important materials using advanced condensed-matter theoretical methods
使用先进的凝聚态理论方法预测和表征具有重要技术意义的新技术材料的结构和性能
- 批准号:
435836-2013 - 财政年份:2014
- 资助金额:
$ 1.75万 - 项目类别:
Discovery Grants Program - Individual
Prediction and characterization of the structures and properties of new technologically important materials using advanced condensed-matter theoretical methods
使用先进的凝聚态理论方法预测和表征具有重要技术意义的新技术材料的结构和性能
- 批准号:
435836-2013 - 财政年份:2013
- 资助金额:
$ 1.75万 - 项目类别:
Discovery Grants Program - Individual
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