Data-driven discovery and rapid, direct synthesis of MXenes
MXenes are a rapidly expanding family of two-dimensional transition metal carbides and nitrides, yet scalable synthesis routes remain limited and historical reports suggest a broader, largely unexplored chemical space. We used machine learning-assisted database mining to uncover hidden multilayer MXenes. Screening reveals 33 previously synthesized but unrecognized MXene candidates. Guided by these findings, we synthesized seven multilayer MXenes using a rapid, scalable self-propagating high-temperature method that requires no sustained external heating and completes within minutes. We further realized 11 previously unexplored rare earth-based MXenes (M = praseodymium, neodymium, samarium, gadolinium, terbium, holmium, and thulium). Experiments and modeling suggest semiconducting behavior and diverse magnetic states across this family. Together, these results expand the MXene family and demonstrate a data-driven strategy for accelerating materials discovery through sustainable methods.
Authors
- Fredrik Heintz (ORCID: https://orcid.org/0000-0002-9595-2471)
- Soheil Ershadrad (ORCID: https://orcid.org/0000-0001-8947-9625)
- Guilherme Ribeiro Portugal (ORCID: https://orcid.org/0000-0002-0165-1660)
- Florian Chabanais (ORCID: https://orcid.org/0009-0001-0013-6050)
- Irina Hussainova (ORCID: https://orcid.org/0000-0003-3081-2491)
- Martin Dahlqvist (ORCID: https://orcid.org/0000-0001-5036-2833)
- Johanna Rosén (ORCID: https://orcid.org/0000-0002-5173-6726)
- Rainer Traksmaa (ORCID: https://orcid.org/0000-0001-5881-9754)
- Topias Jussila (ORCID: https://orcid.org/0000-0002-0435-0660)
- Maarit J. Karppinen (ORCID: https://orcid.org/0000-0003-1091-1169)
- Ali Saffar Shamshirgar (ORCID: https://orcid.org/0000-0002-0762-8058)
- Per O. Å. Persson (ORCID: https://orcid.org/0000-0001-9140-6724)
- Sanjay Chakraborty (ORCID: https://orcid.org/0000-0002-0023-7038)
- Roman Ivanov (ORCID: https://orcid.org/0009-0007-7434-952X)
Institutions
- Linköping University (SE)
- Tallinn University of Technology (EE)
- Aalto University (FI)
Publication Details
- Journal
- Science
- Published
- 2026-10-29
- DOI
- https://doi.org/10.1126/science.aeh5957
- Primary Topic
- MXene and MAX Phase Materials
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- European Commission
- Stiftelsen för Strategisk Forskning
- Eesti Teadusagentuur
- Vetenskapsrådet