Materials informatics

  • Seeram Ramakrishna
  • Tong-Yi Zhang
  • Wen-Cong Lu
  • Quan Qian
  • Jonathan Sze Choong Low
  • Jeremy Heiarii Ronald Yune
  • Daren Zong Loong Tan
  • Stéphane Bressan
  • Stefano Sanvito
  • Surya R. Kalidindi


Materials informatics employs techniques, tools, and theories drawn from the emerging fields of data science, internet, computer science and engineering, and digital technologies to the materials science and engineering to accelerate materials, products and manufacturing innovations. Manufacturing is transforming into shorter design cycles, mass customization, on-demand production, and sustainable products. Additive manufacturing or 3D printing is a popular example of such a trend. However, the success of this manufacturing transformation is critically dependent on the availability of suitable materials and of data on invertible processing–structure–property–performance life cycle linkages of materials. Experience suggests that the material development cycle, i.e. the time to develop and deploy new material, generally exceeds the product design and development cycle. Hence, there is a need to accelerate materials innovation in order to keep up with product and manufacturing innovations. This is a major challenge considering the hundreds of thousands of materials and processes, and the huge amount of data on microstructure, composition, properties, and functional, environmental, and economic performance of materials. Moreover, the data sharing culture among the materials community is sparse. Materials informatics is key to the necessary transformation in product design and manufacturing. Through the association of material and information sciences, the emerging field of materials informatics proposes to computationally mine and analyze large ensembles of experimental and modeling datasets efficiently and cost effectively and to deliver core materials knowledge in user-friendly ways to the designers of materials and products, and to the manufacturers. This paper reviews the various developments in materials informatics and how it facilitates materials innovation by way of specific examples.


Materials informatics Materials data analytics Materials modelling Materials data mining Materials selection Materials web platform Materials 4.0 



Seeram Ramakrishna acknowledges support from Lloyds Register Foundation Grant LRF WBS 265-000-553-597. Surya R. Kalidini acknowledges support from NIST Grant 70NANB14H191. W.C. Lu, Q. Qian and T.Y. Zhang acknowledge support from National Key Research and Development Program of China (2016YFB0700504, and Science and Technology Commission of Shanghai Municipality (Nos. 15DZ2260300 and 16DZ2260600), China. Stefano Sanvito acknowledge support from Science Foundation of Ireland (14/IA/2624 and AMBER Center).


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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • Seeram Ramakrishna
    • 1
  • Tong-Yi Zhang
    • 2
  • Wen-Cong Lu
    • 2
  • Quan Qian
    • 2
  • Jonathan Sze Choong Low
    • 3
  • Jeremy Heiarii Ronald Yune
    • 3
  • Daren Zong Loong Tan
    • 3
  • Stéphane Bressan
    • 4
  • Stefano Sanvito
    • 5
  • Surya R. Kalidindi
    • 6
  1. 1.Department of Mechanical EngineeringNational University of Singapore, Institution of Engineers Singapore, and SPRINGSingaporeSingapore
  2. 2.Materials Genome Institute (MGI), Shanghai University (SHU), and Shanghai Materials Genome InstituteShanghaiChina
  3. 3.Singapore Institute of Manufacturing Technology, ASTARSingaporeSingapore
  4. 4.School of ComputingNational University of SingaporeSingaporeSingapore
  5. 5.School of Physics, AMBER and CRANN InstituteTrinity CollegeDublin 2Ireland
  6. 6.Woodruff School of Mechanical EngineeringGeorgia Institute of TechnologyAtlantaUSA

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