Conditional generative models enable targeted exploration of MAX phase design space.

Swaine J, Bone C, Kayastha P, Darby MT, Galloway E, Butler KT

DOI: 10.1039/d6tc01390b
Published: 2026 Sep 17
Container: Journal of materials chemistry. C
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1039/d6tc01390b,
  title = {Conditional generative models enable targeted exploration of MAX phase design space.},
  author = {Swaine J and Bone C and Kayastha P and Darby MT and Galloway E and Butler KT},
  year = {2026},
  journal = {Journal of materials chemistry. C},
  doi = {10.1039/d6tc01390b},
  url = {https://doi.org/10.1039/d6tc01390b}
}

RIS

TY  - JOUR
TI  - Conditional generative models enable targeted exploration of MAX phase design space.
AU  - Swaine J
AU  - Bone C
AU  - Kayastha P
AU  - Darby MT
AU  - Galloway E
AU  - Butler KT
PY  - 2026
JO  - Journal of materials chemistry. C
DO  - 10.1039/d6tc01390b
UR  - https://doi.org/10.1039/d6tc01390b
ER  -

APA

J, S., C, B., P, K., MT, D., E, G., & KT, B. (2026). Conditional generative models enable targeted exploration of MAX phase design space.. Journal of materials chemistry. C. https://doi.org/10.1039/d6tc01390b

Source records

pubmed · retrieved 2026-09-25T06:23:27.450Z