Computational materials science, ‎0927-0256

Journal

ISSNs0927-0256
21 - 30 out of 42Page size: 10

Research output

  1. Published

    Coupled Modelling of the Solidification Process Predicting Temperatures, Stresses and Microstructures

    Ludwig, A. & Sahm, P., 1996, In: Computational materials science. p. 194-198

    Research output: Contribution to journal › Article › Research › peer-review

  2. Published

    Accurate prediction of structural and mechanical properties on amorphous materials enabled through machine-learning potentials: A case study of silicon nitride

    Nayak, G. K., Srinivasan, P., Todt, J., Daniel, R., Nicolini, P. & Holec, D., 6 Jan 2025, In: Computational materials science. 249.2025, 5 February, 11 p., 113629.

    Research output: Contribution to journal › Article › Research › peer-review

  3. Published

    Modelling of surface exchange reaction, oxygen diffusion, and conductivity relaxation of solid oxides: Application to the van der Pauw method on disk-shaped samples

    Preis, W., 2015, In: Computational materials science. 103, p. 237-243

    Research output: Contribution to journal › Article › Research › peer-review

  4. Published

    An atomistic view on Oxygen, antisites and vacancies in the γ-TiAl phase

    Razumovskiy, V. I., Ecker, W., Wimler, D., Fischer, F.-D., Appel, F., Mayer, S. & Clemens, H., Sept 2021, In: Computational materials science. 197.2021, September, 8 p., 110655.

    Research output: Contribution to journal › Article › Research › peer-review

  5. Published

    Modelling the micromorphology of heat treated Ti6Al4V forgings by means of spatial tessellations feasible for FEM analyses of microscale residual stresses

    Regener, B., Krempaszky, C., Werner, E. & Stockinger, M., Feb 2012, In: Computational materials science. 52, 1, p. 77-81 5 p.

    Research output: Contribution to journal › Article › Research › peer-review

  6. Published

    Modelling of creep fatigue in containers during aluminium and copper extrusion

    Sommitsch, C., Sievert, R., Wlanis, T., Günther, B. & Wieser, V., 2007, In: Computational materials science. 39, p. 55-64

    Research output: Contribution to journal › Article › Research › peer-review

  7. Published

    Lifetime evaluation of two different hot work tool steels in aluminium extrusion

    Sommitsch, C., Sievert, R., Wlanis, T. & Redl, C., 2008, In: Computational materials science. 43, p. 82-91

    Research output: Contribution to journal › Article › Research › peer-review

  8. Published

    Data-mining of in-situ TEM experiments: Towards understanding nanoscale fracture

    Steinberger, D., Issa, I., Strobl, R., Imrich, P. J., Kiener, D. & Sandfeld, S., 5 Jan 2023, In: Computational materials science. 216.2023, 5 January, 9 p., 111830.

    Research output: Contribution to journal › Article › Research › peer-review

  9. Published

    Back to and beyond Weibull – The hazard rate approach

    Stoyan, D., Funke, C. & Rasche, S., 2013, In: Computational materials science. 68, p. 181-188

    Research output: Contribution to journal › Article › Research › peer-review

  10. Published

    Two-Dimensional Simulation of Reactive Diffusion in Binary Systems

    Svoboda, J., Stopka, J. & Fischer, F. D., 2014, In: Computational materials science. 95, p. 309-315

    Research output: Contribution to journal › Article › Research › peer-review

Previous 1 2 3 4 5 Next
View graph of relations