Skip to content
DraconiticResearch
Search Sources API
186,125 studies31 sourcesUpdated 8 min ago
Peer-reviewedCC BY-NC-ND 4.0Scientific Reports

Explainable machine learning reveals a compact, low-dimensional geometric basis underlying sheet and skeletal TPMS architected materials

  • Georgios Mermigkis
  • Chrysovalantis-Michail Liakopoulos
  • Dimitrios C. Rodopoulos
  • Panagiotis Hadjidoukas
  • Nikolaos Karathanasopoulos
Open at sourcePDFDOICite

Related

  1. Landscaping dual-ion batteries architected by MXene materials
    Shunri Zheng, Shichong Xu, Wenjuan Han +5
    Communications ChemistryPeer-reviewedCC BY-NC-ND 4.0Full textMaterials & polymersCrossref
  2. Control of the piezoelectric and flexoelectric homogenized properties of architected materials by tuning their inner topology
    Nagham Mawassy, Hilal Reda, Jean-Francois Ganghoffer +1
    Mechanics Research CommunicationsPeer-reviewedLicence not stated16 citedMaterials & polymersHAL
  3. Data-Driven Analysis of C–F Bond Lengths in Two-Dimensional Fluorinated Carbon Materials
    Tosapol Maluangnont
    ChemRxivPreprintLicence not statedGeneral chemistryChemRxiv
  4. Materials Property Prediction with a Site-Resolved Three-Dimensional Voxel Convolution Neural Network
    Juo Kim, Kyoungmin Min
    ChemRxivPreprintLicence not statedGeneral chemistryChemRxiv
  5. Structural Modeling and Theoretical Study of Low-Dimensional Materials
    Xiao-Chun Wang, Xilian Jin
    NanomaterialsPeer-reviewedCC BY 4.0Materials & polymersCrossref

Cite

BibTeXRIS
BibTeX
@article{mermigkis2026explainable,
  title = {{Explainable machine learning reveals a compact, low-dimensional geometric basis underlying sheet and skeletal TPMS architected materials}},
  author = {Georgios Mermigkis and Chrysovalantis-Michail Liakopoulos and Dimitrios C. Rodopoulos and Panagiotis Hadjidoukas and Nikolaos Karathanasopoulos},
  journal = {Scientific Reports},
  year = {2026},
  month = oct,
  doi = {10.1038/s41598-026-75991-2},
  url = {https://www.nature.com/articles/s41598-026-75991-2},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - Explainable machine learning reveals a compact, low-dimensional geometric basis underlying sheet and skeletal TPMS architected materials
AU  - Georgios Mermigkis
AU  - Chrysovalantis-Michail Liakopoulos
AU  - Dimitrios C. Rodopoulos
AU  - Panagiotis Hadjidoukas
AU  - Nikolaos Karathanasopoulos
PY  - 2026
DA  - 2026/10/20
JO  - Scientific Reports
DO  - 10.1038/s41598-026-75991-2
UR  - https://www.nature.com/articles/s41598-026-75991-2
SN  - 2045-2322
ER  -