Pillar 1
- 10.24435/materialscloud:9m-4n — Modeling of precipitate strengthening with near-chemical accuracy: case study of Al-6xxx alloys, by Y. Hu, W. Curtin
Related MARVEL publication:
- Y. Hu, W. A. Curtin, Modeling of precipitate strengthening with near-chemical accuracy: case study of Al-6xxx alloys, Acta Materialia 237, 118144 (2022). [Open Access URL]
Group(s): Curtin / Project(s): P1
- Y. Hu, W. A. Curtin, Modeling of precipitate strengthening with near-chemical accuracy: case study of Al-6xxx alloys, Acta Materialia 237, 118144 (2022). [Open Access URL]
- 10.24435/materialscloud:3f-w3 — A low-temperature prismatic slip instability in Mg understood using machine learning potentials, by X. Liu, M. Rahbar Niazi, T. Liu, B. Yin, W. Curtin
Related MARVEL publication:
- X. Liu, M. R. Niazi, T. Liu, B. Yin, W. A. Curtin, A low-temperature prismatic slip instability in Mg understood using machine learning potentials, Acta Materialia 243, 118490 (2023). [Open Access URL]
Group(s): Curtin / Project(s): P1
- X. Liu, M. R. Niazi, T. Liu, B. Yin, W. A. Curtin, A low-temperature prismatic slip instability in Mg understood using machine learning potentials, Acta Materialia 243, 118490 (2023). [Open Access URL]
- 10.24435/materialscloud:vy-02 — Machine learning for metallurgy V: A neural-network potential for zirconium data of published plots, by M. Liyanage, D. Reith, V. Eyert, W. A. Curtin
Related MARVEL publication:
- M. Liyanage, D. Reith, V. Eyert, W. A. Curtin, Machine learning for metallurgy V: A neural-network potential for zirconium, Physical Review Materials 6, 063804 (2022). [Open Access URL]
Group(s): Curtin / Project(s): P1
- M. Liyanage, D. Reith, V. Eyert, W. A. Curtin, Machine learning for metallurgy V: A neural-network potential for zirconium, Physical Review Materials 6, 063804 (2022). [Open Access URL]
- 10.24435/materialscloud:a4-yf — Theory-guided design of high-strength, high-melting point, ductile, low-density, single-phase BCC high entropy alloys, by Y. Rao, C. Baruffi, A. De Luca, C. Leinenbach, W. Curtin
Related MARVEL publication:
- Y. Rao, C. Baruffi, A. D. Luca, C. Leinenbach, W. A. Curtin, Theory-guided design of high-strength, high-melting point, ductile, low-density, single-phase BCC high entropy alloys, Acta Materialia 237, 118132 (2022). [Open Access URL]
Group(s): Curtin / Project(s): P1
- Y. Rao, C. Baruffi, A. D. Luca, C. Leinenbach, W. A. Curtin, Theory-guided design of high-strength, high-melting point, ductile, low-density, single-phase BCC high entropy alloys, Acta Materialia 237, 118132 (2022). [Open Access URL]
- 10.5281/zenodo.7186602 — Characterization data for the manuscript: "Using genetic algorithms to systematically improve the synthesis conditions of Al-PMOF", by N. P. Domingues, S. M. Moosavi, L. Talirz, K. Maik Jablonka, C. P. Ireland, F. M. Ebrahim, B. Smit
Related MARVEL publication:
- N. P. Domingues, S. M. Moosavi, L. Talirz, K. M. Jablonka, C. P. Ireland, F. M. Ebrahim, B. Smit, Using genetic algorithms to systematically improve the synthesis conditions of Al-PMOF, Communications Chemistry 5, 170 (2022). [Open Access URL]
Group(s): Smit / Project(s): P1
- N. P. Domingues, S. M. Moosavi, L. Talirz, K. M. Jablonka, C. P. Ireland, F. M. Ebrahim, B. Smit, Using genetic algorithms to systematically improve the synthesis conditions of Al-PMOF, Communications Chemistry 5, 170 (2022). [Open Access URL]