Matches in SemOpenAlex for { <https://semopenalex.org/work/W3206771320> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W3206771320 abstract "Advancements in additive manufacturing have enabled design and fabrication of materials and structures not previously realizable. In particular, the design space of composite materials and structures has vastly expanded, and the resulting size and complexity has challenged traditional design methodologies, such as brute force exploration and one factor at a time (OFAT) exploration, to find optimum or tailored designs. To address this challenge, supervised machine learning approaches have emerged to model the design space using curated training data; however, the selection of the training data is often determined by the user. In this work, we develop and utilize a Reinforcement learning (RL)-based framework for the design of composite structures which avoids the need for user-selected training data. For a 5 × 5 composite design space comprised of soft and compliant blocks of constituent material, we find that using this approach, the model can be trained using 2.78% of the total design space consists of 225 design possibilities. Additionally, the developed RL-based framework is capable of finding designs at a success rate exceeding 90%. The success of this approach motivates future learning frameworks to utilize RL for the design of composites and other material systems." @default.
- W3206771320 created "2021-10-25" @default.
- W3206771320 creator A5001416316 @default.
- W3206771320 creator A5001647002 @default.
- W3206771320 creator A5015448529 @default.
- W3206771320 creator A5018010391 @default.
- W3206771320 creator A5038185726 @default.
- W3206771320 creator A5042131246 @default.
- W3206771320 creator A5075926701 @default.
- W3206771320 creator A5088506135 @default.
- W3206771320 date "2021-10-28" @default.
- W3206771320 modified "2023-09-26" @default.
- W3206771320 title "Designing Composites with Target Effective Young’s Modulus using Reinforcement Learning" @default.
- W3206771320 cites W1969293769 @default.
- W3206771320 cites W2030977129 @default.
- W3206771320 cites W2032741311 @default.
- W3206771320 cites W2077320556 @default.
- W3206771320 cites W2101926813 @default.
- W3206771320 cites W2118170672 @default.
- W3206771320 cites W2155648630 @default.
- W3206771320 cites W2156410578 @default.
- W3206771320 cites W2158862486 @default.
- W3206771320 cites W2220999736 @default.
- W3206771320 cites W2339335817 @default.
- W3206771320 cites W2406721963 @default.
- W3206771320 cites W2523590755 @default.
- W3206771320 cites W2610739855 @default.
- W3206771320 cites W2619012812 @default.
- W3206771320 cites W2766966300 @default.
- W3206771320 cites W2788445101 @default.
- W3206771320 cites W2938321354 @default.
- W3206771320 cites W2964763564 @default.
- W3206771320 cites W3000404031 @default.
- W3206771320 cites W3001396333 @default.
- W3206771320 cites W3095388982 @default.
- W3206771320 cites W3100751385 @default.
- W3206771320 cites W3135330773 @default.
- W3206771320 cites W32403112 @default.
- W3206771320 doi "https://doi.org/10.1145/3485114.3485123" @default.
- W3206771320 hasPublicationYear "2021" @default.
- W3206771320 type Work @default.
- W3206771320 sameAs 3206771320 @default.
- W3206771320 citedByCount "3" @default.
- W3206771320 countsByYear W32067713202022 @default.
- W3206771320 countsByYear W32067713202023 @default.
- W3206771320 crossrefType "proceedings-article" @default.
- W3206771320 hasAuthorship W3206771320A5001416316 @default.
- W3206771320 hasAuthorship W3206771320A5001647002 @default.
- W3206771320 hasAuthorship W3206771320A5015448529 @default.
- W3206771320 hasAuthorship W3206771320A5018010391 @default.
- W3206771320 hasAuthorship W3206771320A5038185726 @default.
- W3206771320 hasAuthorship W3206771320A5042131246 @default.
- W3206771320 hasAuthorship W3206771320A5075926701 @default.
- W3206771320 hasAuthorship W3206771320A5088506135 @default.
- W3206771320 hasBestOaLocation W32067713202 @default.
- W3206771320 hasConcept C104779481 @default.
- W3206771320 hasConcept C111919701 @default.
- W3206771320 hasConcept C11413529 @default.
- W3206771320 hasConcept C119857082 @default.
- W3206771320 hasConcept C127413603 @default.
- W3206771320 hasConcept C154945302 @default.
- W3206771320 hasConcept C2778572836 @default.
- W3206771320 hasConcept C41008148 @default.
- W3206771320 hasConcept C66938386 @default.
- W3206771320 hasConcept C67203356 @default.
- W3206771320 hasConcept C97541855 @default.
- W3206771320 hasConceptScore W3206771320C104779481 @default.
- W3206771320 hasConceptScore W3206771320C111919701 @default.
- W3206771320 hasConceptScore W3206771320C11413529 @default.
- W3206771320 hasConceptScore W3206771320C119857082 @default.
- W3206771320 hasConceptScore W3206771320C127413603 @default.
- W3206771320 hasConceptScore W3206771320C154945302 @default.
- W3206771320 hasConceptScore W3206771320C2778572836 @default.
- W3206771320 hasConceptScore W3206771320C41008148 @default.
- W3206771320 hasConceptScore W3206771320C66938386 @default.
- W3206771320 hasConceptScore W3206771320C67203356 @default.
- W3206771320 hasConceptScore W3206771320C97541855 @default.
- W3206771320 hasFunder F4320306076 @default.
- W3206771320 hasLocation W32067713201 @default.
- W3206771320 hasLocation W32067713202 @default.
- W3206771320 hasLocation W32067713203 @default.
- W3206771320 hasOpenAccess W3206771320 @default.
- W3206771320 hasPrimaryLocation W32067713201 @default.
- W3206771320 hasRelatedWork W260766989 @default.
- W3206771320 hasRelatedWork W2909304650 @default.
- W3206771320 hasRelatedWork W2959276766 @default.
- W3206771320 hasRelatedWork W2961085424 @default.
- W3206771320 hasRelatedWork W3074294383 @default.
- W3206771320 hasRelatedWork W3139193008 @default.
- W3206771320 hasRelatedWork W4206669594 @default.
- W3206771320 hasRelatedWork W4295941380 @default.
- W3206771320 hasRelatedWork W4306674287 @default.
- W3206771320 hasRelatedWork W4319083788 @default.
- W3206771320 isParatext "false" @default.
- W3206771320 isRetracted "false" @default.
- W3206771320 magId "3206771320" @default.
- W3206771320 workType "article" @default.