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  2. ��������� �� �������� ��������������������������! "�#�!��� ��…

    www.phase-trans.msm.cam.ac.uk/2000/Riso4.pdf
    18 Apr 2017: "#! $ % &#' ( )$ $ -,/.,/021436587 9;:<=7/>?",4@A,/",/",BCD<2>6E=F C5G<H:. : EI1/<=JKLMEI76K0ON<=KEIJP5G<=QGFR#ST5UEI7DSTE<O7D>?EIKV<OQUQ8WJXHYZ9&[75UZEIJVF(58K(Y-0ON<OL]J5_>6X2E9a<OL]JP5G>6XHEZ9BbAc#de,/& f@ g,. hiJ0$STEjE=>65U74XZF0ONKPCE-b6kIF

  3. www.phase-trans.msm.cam.ac.uk/abstracts/quasi.pdf

    www.phase-trans.msm.cam.ac.uk/abstracts/quasi.pdf
    17 Apr 2017:

  4. APRIL 2017 | Issue 7 Institute for REVIEWManufacturing a ...

    https://www.ifm.eng.cam.ac.uk/uploads/IfM_Review/Issue_7/IfMR_7_web.pdf
    19 May 2017: APRIL 2017 | Issue 7. Institute for. REVIEWManufacturing. a Industrial sustainability a Food safety a Diagnosing disease a NanoManufacturing: clean water and green batteries. Manufacturing a better world. Cover image: Dr Michaël De Volder.

  5. 72938-18 333..337

    www.phase-trans.msm.cam.ac.uk/2001/memec3.pdf
    18 Apr 2017: "! #! $#%! "! & #'! (! "! # )! " (! #! ( " "! "! "! # '! " "! (! (! # ,-.//! "# $% & ' ( ) $ ,% -% %. %! ( ///0 ) ///% //( 1 2%! " # $ % & $ ' () ",()- ",(). ", / 0 0. " "! 122/ " 0! % $ 3 ' ) 4 5 6 / " 5. /! "#$ 7 5 / 8222! 4+ / & % ' 0 / 5 5 5 " 5

  6. Characteristics of High-Power Diode-Laser Welds for Industrial…

    www.phase-trans.msm.cam.ac.uk/2001/carrie.pdf
    18 Apr 2017: Characteristics of High-Power Diode-Laser Welds for Industrial Assembly. C.A. Walsh, H.K.D.H. Bhadeshia, A. Lau+, B. Matthias+, R. Oesterlein+, and J. Drechsel, Dept. Materials Science, University of Cambridge, UK; ABB Corp. Research, Ladenburg,.

  7. 72068-24 1404..1411

    www.phase-trans.msm.cam.ac.uk/2000/cirencester.pdf
    18 Apr 2017: "#$%%! "#$ % & ''' ( ) ) , '''$ ''' ( -$! 2/// # ///& 3 ( 0 3 2 4! 3. # 3 /5 3 6 1 / #. 55 7 $ 2. # "! # $. 38. # 9 #! (! # 9 ( #! # (. 8 $ ( :15; # 9. 9 $ ( (. #! ( $! "! #$%! # (. 4 ( # # , - $ , , -3.-. 4. 3 --. 3- # 3. ". # ". & '( ) ' ( , ' , '-

  8. 1 Application of Bayesian Neural Network for modeling and ...

    www.phase-trans.msm.cam.ac.uk/2001/Ferrite_number.pdf
    18 Apr 2017: 1. Application of Bayesian Neural Network for modeling and prediction offerrite number in austenitic stainless steel welds. M. Vasudevan, M. Murugananth, and A.K. BhaduriMaterials Joining Section. Metallury and Materials GroupIndira Gandhi Centre

  9. 73132-8 403..408

    www.phase-trans.msm.cam.ac.uk/2001/mst4716.pdf
    18 Apr 2017: Modelling precipitation of niobium carbide inaustenite: multicomponent diffusion, capillarity,and coarseningN. Fujita and H. K. D. H. Bhadeshia. The growth of niobium carbide in austenite involves the diffusion of both niobium and carbon. These

  10. 72340-19 30..32

    www.phase-trans.msm.cam.ac.uk/2000/spheres.pdf
    18 Apr 2017: "! " # $% &&&'& ( ))) )))& )) , -&! " # $ % # & ' ( ' '! ) , -. / 0. 1 12. 34. 56. / 34. 3"4. 34 ' 34 7. 374. 8! 2 34 ' ' 34. / ) ' 0 ' 3"4. #. 3$4. 7 1 1 & 1 1 1 , 7. '. 34 34. 56 ' 34 ' 34 3"4. 34. 34. 7. 3-4. '. 3.4. ( ) ' 34 ' 3.4 '. 3/4. ". 7.

  11. INSTITUTE OF PHYSICS PUBLISHING JOURNAL OF PHYSICS D: APPLIED ...

    www.phase-trans.msm.cam.ac.uk/2001/mujahid.pdf
    18 Apr 2017: INSTITUTE OF PHYSICS PUBLISHING JOURNAL OF PHYSICS D: APPLIED PHYSICS. J. Phys. D: Appl. Phys. 34 (2001) 2573–2580 PII: S0022-3727(01)22079-8. Coupled diffusional/displacivetransformations: addition ofsubstitutional alloying elementsS A Mujahid1

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