Combinatorial Materials Science and EBSD: A High Throughput Experimentation Tool

  • Krishna Rajan

The impact of EBSD in combinatorial experimentation lies in its value as a nondestructive focused probe for high throughput screening of materials libraries via backscattered diffraction. The types of information gathered by EBSD are of course well documented (especially in the present and the previous companion volume [Schwartz et al. 2000]).


Diffusion Couple High Throughput Screening Infrared Thermography Combinatorial Experimentation High Throughput Experimentation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



The author acknowledges support from the National Science Foundation International Materials Institute Program for the Combinatorial Sciences and Materials Informatics Collaboratory (CoSMIC-IMI), grant # DMR-0833853; Office of Naval Research, grant # N00014–06–1-0310; and the Air Force Office of Scientific Research, grant # FA95500610501.


  1. Adomaitis RA (2007) Intentionally patterned and spatially non-uniform film profiles in chemical vapor deposition processes. Surf Coat Tech 201:9025–9029CrossRefGoogle Scholar
  2. Bastos A, Zaefferer S, Raabe D (2008) Three-dimensional EBSD study on the relationship between triple junctions and columnar grains in electrodeposited Co-Ni films. J Microsc 230(Pt 3):487–498CrossRefPubMedMathSciNetGoogle Scholar
  3. Behrens M, Tomforde J, May E, Kiebach R, Bensch W, Häußler D, Jäger W (2006) A study of the reactivity of elemental Cr/Se/Te thin multilayers using X-ray reflectometry, in situ X-ray diffraction and X-ray absorption spectroscopy. J Solid State Chem 179:3330–3337Google Scholar
  4. Bhat RR, Genzer J (2006) Combinatorial study of nanoparticle dispersion in surface-grafted macromolecular gradients. Appl Surf Sci 252:2549–2554CrossRefADSGoogle Scholar
  5. Brewer LN, Kotula PG, Michael JR (2008) Multivariate statistical approach to electron backscattered diffraction. Ultramicroscopy 108:567–578CrossRefPubMedGoogle Scholar
  6. Cawse JN (2003) Experimental design for combinatorial and high throughput development. Wiley Interscience, Hoboken, NJGoogle Scholar
  7. Cha W-Y, Takahiro M, Yasushi S, Mitsutaka H (2006) Identification of titanium oxide phases equilibrated with liquid Fe-Ti alloy based on EBSD analysis. ISIJ Int 46:(7): 987–995CrossRefGoogle Scholar
  8. Chambers BD, Taylor SR (2007) The high throughput assessment of aluminum alloy corrosion using fluorometric methods, Part II—a combinatorial study of corrosion inhibitors and synergistic combinations. Corros Sci 49:1597–1609CrossRefGoogle Scholar
  9. Chen W, Liu Q, Liu Q, Zhu L, Wang L (2008) A combinatorial study of the corrosion and mechanical properties of Zn-Al material library fabricated by ion beam sputtering. J Alloy Compd 459:261–266CrossRefGoogle Scholar
  10. Cooper JS, McGinn PJ (2006) Combinatorial screening of thin film electrocatalysts for a direct methanol fuel cell anode. J Power Sources 161:330–338CrossRefGoogle Scholar
  11. Davydov AV, Bendersky LA, Boettinger WJ, Josell D, Vaudin MD, Chang K-S, Takeuchi I (2004) Combinatorial investigation of structural quality of Au/Ni contacts on GaN. Appl Surf Sci 223(1–3):24–29CrossRefADSGoogle Scholar
  12. Fischer R, Eleno LTF, Frommeyer G, Schneider A (2006) Precipitation of Cr-rich phases in a Ni–50Al–2Cr (at %) alloy. Intermetallics 14(2):156–162CrossRefGoogle Scholar
  13. Garoli D, Monaco G, Frassetto F, Pelizzo MG, Nicolosi P, Armelao L, Mattarello V, Rigato V (2006) Thin film and multilayer coating development for the extreme ultraviolet spectral region. Radiat Phys Chem 75:1966–1971CrossRefADSGoogle Scholar
  14. Guerrero-Sanchez C, Paulus RM, Fijten MWM, de la Mar MJ, Hoogenboom R, Schubert US (2006) High-throughput experimentation in synthetic polymer chemistry: from RAFT and anionic polymerizations to process development. Appl Surf Sci 252:2555–2561CrossRefADSGoogle Scholar
  15. Guo K-T, Scharnweber D, Schwenzer B, Ziemer G, Wendel HP (2007) The effect of electrochemical functionalization of Ti-alloy surfaces by aptamer-based capture molecules on cell adhesion. Biomaterials 28:468–474CrossRefPubMedGoogle Scholar
  16. He T, Kreisler E, Xiong L, Ding E (2007) Combinatorial screening and nano-synthesis of platinum binary alloys for oxygen electroreduction. J Power Sources 165:87–91CrossRefGoogle Scholar
  17. Jayaraman S, Hillier AC (2005) Electrochemical synthesis and reactivity screening of a ternary composition gradient for combinatorial discovery of fuel cell catalysts. Meas Sci Tech 16:5–13CrossRefADSGoogle Scholar
  18. Journal of Measurement Science and Technology—special issue (2005) Combinatorial and high throughput, Materials Research 16(1):296–301Google Scholar
  19. Kim DK, Maier WF (2006) Combinatorial discovery of new auto reduction catalysts for the CO2 reforming of methane. J Catal 238:142–152CrossRefGoogle Scholar
  20. Laigo J, Christien F, Le Gall R, Tancret F, Furtado J (2008) SEM, EDS, EPMA-WDS and EBSD characterization of carbides in HP type heat resistant alloys. Mater Charact 59:1580--1586Google Scholar
  21. Laurila T, Vuorinen V, Kivilahti JK (2004) Analyses of interfacial reactions at different levels of interconnection. Mat Sci Semicon Proc 7:307–317CrossRefGoogle Scholar
  22. Lewis AC, Suh C, Stukowski M, Geltmacher AB, Rajan K, Spanos G (2008) Tracking correlations between mechanical response and microstructure in three-dimensional reconstructions of a commercial stainless steel. Scripta Mater 58:575–578CrossRefGoogle Scholar
  23. Lin N, Drzal PL, Lin-Gibson S (2007) Two-dimensional gradient platforms for rapid assessment of dental polymers: a chemical, mechanical and biological evaluation. Dent Mater 23:1211–1220CrossRefPubMedGoogle Scholar
  24. Liu DR, Schultz PG (1999) Generating new molecular function: a lesson from nature. Angew Chem Int Edit 38:36–54CrossRefGoogle Scholar
  25. Lu Y (2006) A combinatorial approach for automotive friction materials: effects of ingredients on friction performance. Compos Sci Tech 66:591–598CrossRefGoogle Scholar
  26. Lu G, Cooper JS, McGinn PJ (2006) SECM characterization of Pt-Ru-WC and Pt-Ru-Co ternary thin film combinatorial libraries as anode electrocatalysts for PEMFC. J Power Sources 16:106–114CrossRefGoogle Scholar
  27. Ludwig A, Cao J, Savan A, Ehmann M (2007) High-throughput characterization of hydrogen storage materials using thin films on micromachined Si substrates. J Alloy Compd 446–447:516–521CrossRefGoogle Scholar
  28. Martin TP, Chan K, Gleason KK (2008) Combinatorial initiated chemical vapor deposition (iCVD) for polymer thin film discovery. Thin Solid Films 516:2130–2137CrossRefGoogle Scholar
  29. Mateescu N, Ferry M, Xu W, Cairney JM (2007) Some factors affecting EBSD pattern quality of Ga+ ion-milled face centered cubic metal surfaces. Mater Chem Physics 106(1):142–148CrossRefGoogle Scholar
  30. Miller DC, Herrmann CF, Maier HJ, George SM, Stoldt CR, Gall K (2007) Thermo-mechanical evolution of multilayer thin films: part II. Microstructure evolution in Au/Cr/Si microcantilevers. Thin Solid Films 515:3224CrossRefADSGoogle Scholar
  31. Mingard KP, Roebuck B, Bennett EG, Thomas M, Wynne BP, Palmiere EJ (2007) Grain size measurement by EBSD in complex hot deformed metal alloy microstructures. J Microsc 227(Pt 3):298–308CrossRefPubMedMathSciNetGoogle Scholar
  32. Narasimhan B, Mallapragada SK, Porter MD (2007) Combinatorial materials science. Wiley Interscience, Hoboken, NJCrossRefGoogle Scholar
  33. Perez MG, Kenik EA, O’Keefe MJ, Miller FS, Johnson B (2006) Identification of phases in zinc alloy powders using electron backscatter diffraction. Mater Sci Eng A 424(1–2):239–250Google Scholar
  34. Potyralio R, Maier WF (2007) Combinatorial and high-throughput discovery and optimization of catalysts and materials. Taylor, New YorkGoogle Scholar
  35. Rajan K (2005) Materials informatics. Mater Today 8:38–45CrossRefGoogle Scholar
  36. Rajan K (2008) Combinatorial materials science. Annu Rev Mater Res 38:299–322CrossRefADSGoogle Scholar
  37. Saalfrank JW, Maier WF (2004) Doping, selection and composition spreads, a combinatorial strategy for the discovery of new mixed oxide catalysts for low-temperature CO oxidation. C R Chim 7:483–494CrossRefGoogle Scholar
  38. Sambandam SN, Bhansali S, Bhethanabotla VR, Sood DK (2006) Studies on sputtering process of multicomponent Zr-Ti-Cu-Ni-Be alloy thin films. Vacuum 80:406–414CrossRefGoogle Scholar
  39. Schwartz AJ, Kumar M, Adams BL (2000) Electron backscatter diffraction in materials science. Kluwer Academic, New YorkGoogle Scholar
  40. Seyler M, Stoewe K, Maier WM (2007) New hydrogen-producing photocatalysts—a combinatorial search. Appl Catal B-Environ 76:146–157CrossRefGoogle Scholar
  41. Sieg SC, Suh C, Schmidt T, Stukowski M, Rajan K, Maier WF (2007) Principal component analysis of catalytic functions in the composition space of heterogeneous catalysts. QSAR Comb Sci 26:528–535CrossRefGoogle Scholar
  42. Silva F, Lopes NIA, Santos DB (2006) Microstructural characterization of the C-Mn multiphase high strength cold rolled steel. Mater Charact 56(1):3–9CrossRefGoogle Scholar
  43. Suh C, Rajan K, Vogel BM, Eidelman N, Cabral JT, et al (2006) Informatics methods for combinatorial materials science. In: Mallapragada SK, Narasimhan B, Porter MD (eds) Combinatorial materials science. Wiley, Hoboken, NJGoogle Scholar
  44. Trimby P, Day A, Mehnert K, Schmidt N-H (2002) Is fast mapping good mapping? A review of the benefits of high-speed orientation mapping using electron backscatter diffraction. J Microsc 205:259–269CrossRefPubMedMathSciNetGoogle Scholar
  45. Xiang XD (1999) Combinatorial materials synthesis and screening: an integrated materials chip approach to discovery and optimization of functional materials. Annu Rev Mater Sci 29:149–171CrossRefADSGoogle Scholar
  46. Xiang X-D, Takeuchi I (2003) Combinatorial materials synthesis. Marcel Dekker, New YorkCrossRefGoogle Scholar
  47. Yoo YK, Xue Q, Chu YS, Xu S, Hangen U, Lee H-C, Stein W, Xiang, X-D (2006) Identification of amorphous phases in the Fe-Ni-Co ternary alloy system using continuous phase diagram material chips. Intermetallics 14:241–247CrossRefGoogle Scholar
  48. Zaldívar-Cadena AA, Flores-Valdés A (2007) Prediction and identification of calcium-rich phases in Al-Si alloys by electron backscatter diffraction, EBSD/SEM. Mater Charact 58(8–9):834–841Google Scholar
  49. Zhao J-C (2004) Reliability of the diffusion-multiple approach for phase diagram mapping. J Mater Sci 39:3913–3925CrossRefADSGoogle Scholar
  50. Zhao J-C (2006) Combinatorial approaches as effective tools in the study of phase diagrams and composition-structure-property relationships. Prog Mater Sci 51:557–631CrossRefGoogle Scholar
  51. Zhao J-C, Jackson MR, Peluso LA (2003) Determination of the Nb-Cr-Si phase diagram using diffusion multiples. Acta Mater 51:6395–6405CrossRefGoogle Scholar
  52. Zhao J-C, Jackson MR, Peluso LA (2004a) Mapping of the Nb-Ti-Si phase diagram using diffusion multiples. Mater Sci Eng A 372(1–2):21–27Google Scholar
  53. Zhao J-C, Jackson MR, Peluso LA (2004b) Evaluation of phase relations in the Nb-Cr-Al system at 1000 degrees C using a diffusion-multiple approach. J Phase Equilib Diff 25: 152–159MATHGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  1. 1.Department of Materials Science and EngineeringIowa State UniversityAmesUSA

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