Matches in SemOpenAlex for { <https://semopenalex.org/work/W4309325978> ?p ?o ?g. }
- W4309325978 abstract "Mechanical metamaterials present tremendous potential through synergistic material distribution and structural design, but current approaches mainly focus on structure while neglecting the material distribution. The authors propose an optimized method for designing lattice metamaterials, considering both control aspects. This framework can be used to match multiple targets, such as reproducing the stress-strain and Poisson's ratio curves of biological tissues simultaneously, and to enable customized lateral profiles. This work expands the design space of lattice metamaterials and is promising for flexible electronics and soft robotics." @default.
- W4309325978 created "2022-11-26" @default.
- W4309325978 creator A5023449556 @default.
- W4309325978 creator A5048118779 @default.
- W4309325978 date "2022-11-16" @default.
- W4309325978 modified "2023-09-30" @default.
- W4309325978 title "Optimal Design of Three-Dimensional Voxel Printed Multimaterial Lattice Metamaterials via Machine Learning and Evolutionary Algorithm" @default.
- W4309325978 cites W2026580077 @default.
- W4309325978 cites W2030749064 @default.
- W4309325978 cites W2050376746 @default.
- W4309325978 cites W2061956736 @default.
- W4309325978 cites W2084363875 @default.
- W4309325978 cites W2094353029 @default.
- W4309325978 cites W2110162714 @default.
- W4309325978 cites W2149567066 @default.
- W4309325978 cites W2292658978 @default.
- W4309325978 cites W2339335817 @default.
- W4309325978 cites W2479251102 @default.
- W4309325978 cites W2520545267 @default.
- W4309325978 cites W2608298959 @default.
- W4309325978 cites W2744615704 @default.
- W4309325978 cites W2753907305 @default.
- W4309325978 cites W2765802355 @default.
- W4309325978 cites W2770328261 @default.
- W4309325978 cites W2770490993 @default.
- W4309325978 cites W2771021857 @default.
- W4309325978 cites W2807234518 @default.
- W4309325978 cites W2883482411 @default.
- W4309325978 cites W2886759514 @default.
- W4309325978 cites W2886881512 @default.
- W4309325978 cites W2933287546 @default.
- W4309325978 cites W2943843211 @default.
- W4309325978 cites W2970604445 @default.
- W4309325978 cites W2978155273 @default.
- W4309325978 cites W2979525664 @default.
- W4309325978 cites W2982618170 @default.
- W4309325978 cites W2984784701 @default.
- W4309325978 cites W2996055831 @default.
- W4309325978 cites W2997100726 @default.
- W4309325978 cites W2998612695 @default.
- W4309325978 cites W3000421576 @default.
- W4309325978 cites W3022580245 @default.
- W4309325978 cites W3029417248 @default.
- W4309325978 cites W3048944086 @default.
- W4309325978 cites W3049618663 @default.
- W4309325978 cites W3097041458 @default.
- W4309325978 cites W3119774682 @default.
- W4309325978 cites W3120059743 @default.
- W4309325978 cites W3121278036 @default.
- W4309325978 cites W3195542740 @default.
- W4309325978 cites W3205407666 @default.
- W4309325978 cites W3215631658 @default.
- W4309325978 cites W3215642811 @default.
- W4309325978 cites W4210434508 @default.
- W4309325978 cites W4210678178 @default.
- W4309325978 cites W4220790498 @default.
- W4309325978 cites W4221032409 @default.
- W4309325978 cites W4221065678 @default.
- W4309325978 cites W4224230485 @default.
- W4309325978 cites W3047372216 @default.
- W4309325978 doi "https://doi.org/10.1103/physrevapplied.18.054050" @default.
- W4309325978 hasPublicationYear "2022" @default.
- W4309325978 type Work @default.
- W4309325978 citedByCount "4" @default.
- W4309325978 countsByYear W43093259782023 @default.
- W4309325978 crossrefType "journal-article" @default.
- W4309325978 hasAuthorship W4309325978A5023449556 @default.
- W4309325978 hasAuthorship W4309325978A5048118779 @default.
- W4309325978 hasConcept C110367647 @default.
- W4309325978 hasConcept C11413529 @default.
- W4309325978 hasConcept C121332964 @default.
- W4309325978 hasConcept C127413603 @default.
- W4309325978 hasConcept C154945302 @default.
- W4309325978 hasConcept C171250308 @default.
- W4309325978 hasConcept C192562407 @default.
- W4309325978 hasConcept C24890656 @default.
- W4309325978 hasConcept C2781204021 @default.
- W4309325978 hasConcept C34413123 @default.
- W4309325978 hasConcept C41008148 @default.
- W4309325978 hasConcept C49040817 @default.
- W4309325978 hasConcept C54170458 @default.
- W4309325978 hasConcept C78519656 @default.
- W4309325978 hasConcept C90509273 @default.
- W4309325978 hasConceptScore W4309325978C110367647 @default.
- W4309325978 hasConceptScore W4309325978C11413529 @default.
- W4309325978 hasConceptScore W4309325978C121332964 @default.
- W4309325978 hasConceptScore W4309325978C127413603 @default.
- W4309325978 hasConceptScore W4309325978C154945302 @default.
- W4309325978 hasConceptScore W4309325978C171250308 @default.
- W4309325978 hasConceptScore W4309325978C192562407 @default.
- W4309325978 hasConceptScore W4309325978C24890656 @default.
- W4309325978 hasConceptScore W4309325978C2781204021 @default.
- W4309325978 hasConceptScore W4309325978C34413123 @default.
- W4309325978 hasConceptScore W4309325978C41008148 @default.
- W4309325978 hasConceptScore W4309325978C49040817 @default.
- W4309325978 hasConceptScore W4309325978C54170458 @default.
- W4309325978 hasConceptScore W4309325978C78519656 @default.
- W4309325978 hasConceptScore W4309325978C90509273 @default.
- W4309325978 hasFunder F4320321001 @default.
- W4309325978 hasFunder F4320327024 @default.