Informatics for Materials Science and Engineering : Data-driven Discovery for Accelerated Experimentation and Application
Saved in:
| Title: | Informatics for Materials Science and Engineering : Data-driven Discovery for Accelerated Experimentation and Application |
|---|---|
| Description: | Materials informatics: a'hot topic'area in materials science, aims to combine traditionally bio-led informatics with computational methodologies, supporting more efficient research by identifying strategies for time- and cost-effective analysis. The discovery and maturation of new materials has been outpaced by the thicket of data created by new combinatorial and high throughput analytical techniques. The elaboration of this'quantitative avalanche'—and the resulting complex, multi-factor analyses required to understand it—means that interest, investment, and research are revisiting informatics approaches as a solution. This work, from Krishna Rajan, the leading expert of the informatics approach to materials, seeks to break down the barriers between data management, quality standards, data mining, exchange, and storage and analysis, as a means of accelerating scientific research in materials science. This solutions-based reference synthesizes foundational physical, statistical, and mathematical content with emerging experimental and real-world applications, for interdisciplinary researchers and those new to the field. - Identifies and analyzes interdisciplinary strategies (including combinatorial and high throughput approaches) that accelerate materials development cycle times and reduces associated costs - Mathematical and computational analysis aids formulation of new structure-property correlations among large, heterogeneous, and distributed data sets - Practical examples, computational tools, and software analysis benefits rapid identification of critical data and analysis of theoretical needs for future problems |
| Authors: | Krishna Rajan |
| Resource Type: | eBook. |
| Subjects: | Materials science--Data processing |
| Categories: | TECHNOLOGY & ENGINEERING / Materials Science / General |
| Database: | eBook Collection (EBSCOhost) |
| FullText | Links: – Type: ebook-pdf – Type: ebook-epub Text: Availability: 0 |
|---|---|
| Header | DbId: nlebk DbLabel: eBook Collection (EBSCOhost) An: 485073 RelevancyScore: 1051 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 1050.81640625 |
| IllustrationInfo | |
| ImageInfo | – Size: thumb Target: https://rps2images.ebscohost.com/rpsweb/othumb?id=NL$485073$PDF&s=r – Size: medium Target: https://rps2images.ebscohost.com/rpsweb/othumb?id=NL$485073$PDF&s=d |
| Items | – Name: Title Label: Title Group: Ti Data: Informatics for Materials Science and Engineering : Data-driven Discovery for Accelerated Experimentation and Application – Name: Abstract Label: Description Group: Ab Data: Materials informatics: a'hot topic'area in materials science, aims to combine traditionally bio-led informatics with computational methodologies, supporting more efficient research by identifying strategies for time- and cost-effective analysis. The discovery and maturation of new materials has been outpaced by the thicket of data created by new combinatorial and high throughput analytical techniques. The elaboration of this'quantitative avalanche'—and the resulting complex, multi-factor analyses required to understand it—means that interest, investment, and research are revisiting informatics approaches as a solution. This work, from Krishna Rajan, the leading expert of the informatics approach to materials, seeks to break down the barriers between data management, quality standards, data mining, exchange, and storage and analysis, as a means of accelerating scientific research in materials science. This solutions-based reference synthesizes foundational physical, statistical, and mathematical content with emerging experimental and real-world applications, for interdisciplinary researchers and those new to the field. - Identifies and analyzes interdisciplinary strategies (including combinatorial and high throughput approaches) that accelerate materials development cycle times and reduces associated costs - Mathematical and computational analysis aids formulation of new structure-property correlations among large, heterogeneous, and distributed data sets - Practical examples, computational tools, and software analysis benefits rapid identification of critical data and analysis of theoretical needs for future problems – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Krishna+Rajan%22">Krishna Rajan</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Materials+science--Data+processing%22">Materials science--Data processing</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22TECHNOLOGY+%26+ENGINEERING+%2F+Materials+Science+%2F+General%22">TECHNOLOGY & ENGINEERING / Materials Science / General</searchLink> |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=nlebk&AN=485073 |
| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 620.110285 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Materials science--Data processing Type: general Titles: – TitleFull: Informatics for Materials Science and Engineering : Data-driven Discovery for Accelerated Experimentation and Application Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Krishna Rajan – PersonEntity: Name: NameFull: Krishna Rajan IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2013 – D: 04 M: 02 Type: profile Y: 2014 Identifiers: – Type: isbn-print Value: 9780123943996 – Type: isbn-electronic Value: 9780123946140 Titles: – TitleFull: Informatics for Materials Science and Engineering : Data-driven Discovery for Accelerated Experimentation and Application Type: main |
| ResultId | 1 |
