{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T18:09:12Z","timestamp":1778782152333,"version":"3.51.4"},"reference-count":76,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100015401","name":"Shaanxi Province Key Research and Development Projects","doi-asserted-by":"publisher","award":["2024CY-JJQ-46"],"award-info":[{"award-number":["2024CY-JJQ-46"]}],"id":[{"id":"10.13039\/501100015401","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2022YFB4603103"],"award-info":[{"award-number":["2022YFB4603103"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["xzy012023148"],"award-info":[{"award-number":["xzy012023148"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013804","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100013804","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52275375"],"award-info":[{"award-number":["52275375"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52250287"],"award-info":[{"award-number":["52250287"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012130","name":"Chinese Aeronautical Establishment","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012130","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Engineering Applications of Artificial Intelligence"],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1016\/j.engappai.2026.114552","type":"journal-article","created":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T13:03:11Z","timestamp":1774530191000},"page":"114552","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Feature-driven machine learning for prediction and inverse design of bistable twist metastructures with highly nonlinear responses"],"prefix":"10.1016","volume":"175","author":[{"given":"Peiyuan","family":"Zheng","sequence":"first","affiliation":[]},{"given":"Bin","family":"Han","sequence":"additional","affiliation":[]},{"given":"Hao","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Zhipeng","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Qinze","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Qi","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.engappai.2026.114552_bib1","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2021.107408","article-title":"African vultures optimization algorithm: a new nature-inspired metaheuristic algorithm for global optimization problems","volume":"158","author":"Abdollahzadeh","year":"2021","journal-title":"Comput. Ind. Eng."},{"key":"10.1016\/j.engappai.2026.114552_bib2","doi-asserted-by":"crossref","first-page":"266","DOI":"10.1016\/j.neunet.2022.01.021","article-title":"Feature-based intelligent models for optimization of percussive drilling","volume":"148","author":"Afebu","year":"2022","journal-title":"Neural Netw."},{"key":"10.1016\/j.engappai.2026.114552_bib3","article-title":"Flexible mechanical metamaterials","volume":"2","author":"Bertoldi","year":"2019","journal-title":"Nat. Rev. Mater."},{"key":"10.1016\/j.engappai.2026.114552_bib4","doi-asserted-by":"crossref","DOI":"10.1016\/j.eml.2019.100552","article-title":"Peristaltic locomotion without digital controllers: exploiting multi-stability in origami to coordinate robotic motion","volume":"32","author":"Bhovad","year":"2019","journal-title":"Extreme Mech. Lett."},{"key":"10.1016\/j.engappai.2026.114552_bib5","doi-asserted-by":"crossref","DOI":"10.1016\/j.jmps.2023.105294","article-title":"Discovery of quasi-disordered truss metamaterials inspired by natural cellular materials","volume":"175","author":"Bhuwal","year":"2023","journal-title":"J. Mech. Phys. Solid."},{"key":"10.1016\/j.engappai.2026.114552_bib6","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2023.106998","article-title":"Deep reinforcement learning for the rapid on-demand design of mechanical metamaterials with targeted nonlinear deformation responses","volume":"126","author":"Brown","year":"2023","journal-title":"Eng. Appl. Artif. Intell."},{"key":"10.1016\/j.engappai.2026.114552_bib7","doi-asserted-by":"crossref","DOI":"10.1016\/j.ijmecsci.2022.108029","article-title":"Inverse machine learning discovered metamaterials with record high recovery stress","volume":"244","author":"Challapalli","year":"2023","journal-title":"Int. J. Mech. Sci."},{"key":"10.1016\/j.engappai.2026.114552_bib8","doi-asserted-by":"crossref","DOI":"10.1016\/j.eml.2019.100600","article-title":"Snapping-back buckling of wide hyperelastic columns","volume":"34","author":"Chen","year":"2020","journal-title":"Extreme Mech. Lett."},{"issue":"31","key":"10.1016\/j.engappai.2026.114552_bib9","doi-asserted-by":"crossref","DOI":"10.1002\/adfm.202102113","article-title":"Reusable energy-absorbing architected materials harnessing snapping-back buckling of wide hyperelastic columns","volume":"31","author":"Chen","year":"2021","journal-title":"Adv. Funct. Mater."},{"key":"10.1016\/j.engappai.2026.114552_bib10","doi-asserted-by":"crossref","DOI":"10.1016\/j.compositesa.2019.105697","article-title":"A novel composite negative stiffness structure for recoverable trapping energy","volume":"129","author":"Chen","year":"2020","journal-title":"Compos. Part A-Appl. S"},{"key":"10.1016\/j.engappai.2026.114552_bib11","doi-asserted-by":"crossref","DOI":"10.1016\/j.compositesb.2021.108745","article-title":"A novel gradient negative stiffness honeycomb for recoverable energy absorption","volume":"215","author":"Chen","year":"2021","journal-title":"Compos. Part B-Eng."},{"issue":"9","key":"10.1016\/j.engappai.2026.114552_bib12","article-title":"Leveraging monostable and bistable pre-curved bilayer actuators for high-performance multitask soft robots","volume":"5","author":"Chi","year":"2020","journal-title":"Adv. Mater. Technol-Us."},{"issue":"19","key":"10.1016\/j.engappai.2026.114552_bib13","doi-asserted-by":"crossref","DOI":"10.1002\/adma.202110384","article-title":"Bistable and multistable actuators for soft robots: structures, materials, and functionalities","volume":"34","author":"Chi","year":"2022","journal-title":"Adv. Mater."},{"issue":"41","key":"10.1016\/j.engappai.2026.114552_bib14","article-title":"Inverse Design of mechanical metamaterials with target nonlinear response via a neural accelerated evolution strategy","volume":"34","author":"Deng","year":"2022","journal-title":"Adv. Mater."},{"key":"10.1016\/j.engappai.2026.114552_bib15","doi-asserted-by":"crossref","first-page":"97259","DOI":"10.1109\/ACCESS.2022.3205774","article-title":"Developing novel activation functions based deep learning LSTM for classification","volume":"10","author":"Essai Ali","year":"2022","journal-title":"IEEE Access"},{"key":"10.1016\/j.engappai.2026.114552_bib16","doi-asserted-by":"crossref","DOI":"10.1016\/j.cma.2023.116032","article-title":"Controlling auxeticity in curved-beam metamaterials via a deep generative model","volume":"410","author":"Felsch","year":"2023","journal-title":"Comput. Methods Appl. Mech. Eng."},{"issue":"28","key":"10.1016\/j.engappai.2026.114552_bib17","doi-asserted-by":"crossref","first-page":"5865","DOI":"10.1002\/adma.201600610","article-title":"Tailored buckling microlattices as reusable light-weight shock absorbers","volume":"28","author":"Frenzel","year":"2016","journal-title":"Adv. Mater."},{"key":"10.1016\/j.engappai.2026.114552_bib18","doi-asserted-by":"crossref","DOI":"10.1088\/1361-648X\/add2c2","article-title":"Prediction of the mechanical properties of graphene\/copper nanocomposites using machine learning and molecular dynamics simulations","volume":"37","author":"Gao","year":"2025","journal-title":"J. Phys. Condens. Matter"},{"key":"10.1016\/j.engappai.2026.114552_bib19","doi-asserted-by":"crossref","DOI":"10.1016\/j.ijmecsci.2021.106541","article-title":"Controlled snapping sequence and energy absorption in multistable mechanical metamaterial cylinders","volume":"204","author":"Giri","year":"2021","journal-title":"Int. J. Mech. Sci."},{"key":"10.1016\/j.engappai.2026.114552_bib20","doi-asserted-by":"crossref","first-page":"5765","DOI":"10.1038\/s41467-023-40854-1","article-title":"Rapid inverse design of metamaterials based on prescribed mechanical behavior through machine learning","volume":"14","author":"Ha","year":"2023","journal-title":"Nat. Commun."},{"key":"10.1016\/j.engappai.2026.114552_bib21","doi-asserted-by":"crossref","DOI":"10.1016\/j.cej.2025.162767","article-title":"3D printed continuous carbon fiber reinforced TPU metamaterials for flexible multifunctional sensors","volume":"513","author":"Han","year":"2025","journal-title":"Chem. Eng. J."},{"key":"10.1016\/j.engappai.2026.114552_bib22","doi-asserted-by":"crossref","DOI":"10.1080\/17452759.2025.2512166","article-title":"Superior compressive behaviour of alveolar biomimetic interlaced hollow lattice metastructures","volume":"20","author":"Han","year":"2025","journal-title":"Virtual Phys. Prototyp."},{"issue":"8","key":"10.1016\/j.engappai.2026.114552_bib23","doi-asserted-by":"crossref","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","article-title":"Long short-term memory","volume":"9","author":"Hochreiter","year":"1997","journal-title":"Neural Comput."},{"key":"10.1016\/j.engappai.2026.114552_bib24","article-title":"Fabrication and experimental characterisation of a bistable tensegrity-like unit for lattice metamaterials","volume":"57","author":"Intrigila","year":"2022","journal-title":"Addit. Manuf."},{"key":"10.1016\/j.engappai.2026.114552_bib25","article-title":"Mechanical response of multistable tensegrity-like lattice chains","volume":"74","author":"Intrigila","year":"2023","journal-title":"Addit. Manuf."},{"key":"10.1016\/j.engappai.2026.114552_bib26","doi-asserted-by":"crossref","first-page":"6004","DOI":"10.1038\/s41467-023-41679-8","article-title":"Mechanical metamaterials and beyond","volume":"14","author":"Jiao","year":"2023","journal-title":"Nat. Commun."},{"key":"10.1016\/j.engappai.2026.114552_bib27","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1038\/s42254-018-0018-y","article-title":"3D metamaterials","volume":"1","author":"Kadic","year":"2019","journal-title":"Nat. Rev. Phys."},{"key":"10.1016\/j.engappai.2026.114552_bib28","doi-asserted-by":"crossref","DOI":"10.1016\/j.compositesb.2022.109811","article-title":"Combining advanced 3D printing technologies with origami principles: a new paradigm for the design of functional, durable, and scalable springs","volume":"236","author":"Khazaleh","year":"2022","journal-title":"Compos. Part B-Eng."},{"key":"10.1016\/j.engappai.2026.114552_bib29","doi-asserted-by":"crossref","DOI":"10.1007\/s00521-022-07557-y","article-title":"MOAVOA: a new multi-objective artificial vultures optimization algorithm","volume":"34","author":"Khodadadi","year":"2022","journal-title":"Neural Comput. Appl."},{"key":"10.1016\/j.engappai.2026.114552_bib30","article-title":"A systematic group of multidirectional buckling-based negative stiffness metamaterials","volume":"232","author":"Li","year":"2002","journal-title":"Int. J. Mech. Sci."},{"key":"10.1016\/j.engappai.2026.114552_bib31","doi-asserted-by":"crossref","DOI":"10.1016\/j.engstruct.2024.117793","article-title":"A new three-dimensional re-entrant negative Poisson's ratio metamaterial with tunable stiffness","volume":"306","author":"Li","year":"2024","journal-title":"Eng. Struct."},{"key":"10.1016\/j.engappai.2026.114552_bib32","doi-asserted-by":"crossref","DOI":"10.1016\/j.matdes.2023.111810","article-title":"Programmable and multistable metamaterials made of precisely tailored bistable cells","volume":"227","author":"Liang","year":"2023","journal-title":"Mater. Des."},{"key":"10.1016\/j.engappai.2026.114552_bib33","doi-asserted-by":"crossref","DOI":"10.1016\/j.matdes.2024.112932","article-title":"Machine learning and feature representation approaches to predict stress-strain curves of additively manufactured metamaterials with varying structure and process parameters","volume":"241","author":"Liu","year":"2024","journal-title":"Mater. Des."},{"key":"10.1016\/j.engappai.2026.114552_bib34","doi-asserted-by":"crossref","DOI":"10.1016\/j.eml.2020.101002","article-title":"Machine learning-based design and optimization of curved beams for multistable structures and metamaterials","volume":"41","author":"Liu","year":"2020","journal-title":"Extreme Mech. Lett."},{"key":"10.1016\/j.engappai.2026.114552_bib35","first-page":"1","article-title":"Accelerated design and characterization of non-uniform cellular materials via a machine-learning based framework","volume":"40","author":"Ma","year":"2020","journal-title":"npj Comput. Mater."},{"key":"10.1016\/j.engappai.2026.114552_bib36","doi-asserted-by":"crossref","first-page":"33892","DOI":"10.1021\/acsami.2c09052","article-title":"Deep learning-accelerated designs of tunable magneto-mechanical metamaterials","volume":"14","author":"Ma","year":"2022","journal-title":"ACS Appl. Mater. Interfaces"},{"key":"10.1016\/j.engappai.2026.114552_bib37","doi-asserted-by":"crossref","DOI":"10.1016\/j.ijmecsci.2021.106870","article-title":"A reusable metastructure for tri-directional energy dissipation","volume":"214","author":"Ma","year":"2022","journal-title":"Int. J. Mech. Sci."},{"key":"10.1016\/j.engappai.2026.114552_bib38","first-page":"1","article-title":"Hyperspectral image classification using attention-based bidirectional long short-term memory network","volume":"60","author":"Mei","year":"2022","journal-title":"IEEE T. Geosci. Remote"},{"issue":"33","key":"10.1016\/j.engappai.2026.114552_bib39","doi-asserted-by":"crossref","DOI":"10.1002\/advs.202202883","article-title":"Programming multistable metamaterials to discover latent functionalities","volume":"9","author":"Mofatteh","year":"2022","journal-title":"Adv. Sci."},{"key":"10.1016\/j.engappai.2026.114552_bib40","doi-asserted-by":"crossref","DOI":"10.1016\/j.ijmecsci.2023.108580","article-title":"3D printing functionally graded metamaterial structure: design, fabrication, reinforcement, optimization","volume":"258","author":"Nian","year":"2023","journal-title":"Int. J. Mech. Sci."},{"issue":"25","key":"10.1016\/j.engappai.2026.114552_bib41","doi-asserted-by":"crossref","DOI":"10.1002\/adma.201900548","article-title":"3D pixel mechanical metamaterials","volume":"31","author":"Pan","year":"2019","journal-title":"Adv. Mater."},{"key":"10.1016\/j.engappai.2026.114552_bib42","doi-asserted-by":"crossref","first-page":"6630","DOI":"10.1038\/s41467-023-42415-y","article-title":"Machine learning-enabled constrained multi-objective design of architected materials","volume":"14","author":"Peng","year":"2023","journal-title":"Nat. Commun."},{"key":"10.1016\/j.engappai.2026.114552_bib43","doi-asserted-by":"crossref","first-page":"6936","DOI":"10.1038\/s41598-021-86432-7","article-title":"Time\u2013frequency time\u2013space LSTM for robust classification of physiological signals","volume":"11","author":"Pham","year":"2021","journal-title":"Sci. Rep."},{"key":"10.1016\/j.engappai.2026.114552_bib44","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-021-97999-6","article-title":"Leveraging long short-term memory (LSTM)-based neural networks for modeling structure\u2013property relationships of metamaterials from electromagnetic responses","volume":"11","author":"Pillai","year":"2021","journal-title":"Sci. Rep."},{"key":"10.1016\/j.engappai.2026.114552_bib45","doi-asserted-by":"crossref","DOI":"10.1016\/j.ymssp.2025.112340","article-title":"Self-contacting overlay complementary multi-level multi-stable quasi-zero stiffness vibration isolation device","volume":"226","author":"Rui","year":"2025","journal-title":"Mech. Syst. Signal Process."},{"issue":"29","key":"10.1016\/j.engappai.2026.114552_bib46","doi-asserted-by":"crossref","first-page":"4296","DOI":"10.1002\/adma.201501708","article-title":"Multistable architected materials for trapping elastic strain energy","volume":"27","author":"Shan","year":"2015","journal-title":"Adv. Mater."},{"key":"10.1016\/j.engappai.2026.114552_bib47","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2023.106587","article-title":"Predicting biomechanical properties of additively manufactured polydopamine coated poly lactic acid bone plates using deep learning","volume":"124","author":"Sharma","year":"2023","journal-title":"Eng. Appl. Artif. Intell."},{"issue":"42","key":"10.1016\/j.engappai.2026.114552_bib48","article-title":"Programmable multistable perforated shellular","volume":"33","author":"Shi","year":"2021","journal-title":"Adv. Mater."},{"issue":"5","key":"10.1016\/j.engappai.2026.114552_bib49","article-title":"African vultures optimization algorithm based enhanced VMD with CWT and k-medoids for removal of ocular artifacts from EEG signals","volume":"240","author":"Silpa","year":"2025","journal-title":"Appl. Acoust."},{"key":"10.1016\/j.engappai.2026.114552_bib50","doi-asserted-by":"crossref","DOI":"10.1016\/j.energy.2025.136272","article-title":"Enhanced heat transfer of alveolar biomimetic interlaced hollow lattice metastructures","volume":"326","author":"Song","year":"2025","journal-title":"Energy"},{"issue":"9","key":"10.1016\/j.engappai.2026.114552_bib51","article-title":"Snap-back induced hysteresis in an elastic mechanical metamaterial under tension","volume":"115","author":"Sun","year":"2019","journal-title":"J. Appl. Phys."},{"issue":"10","key":"10.1016\/j.engappai.2026.114552_bib52","doi-asserted-by":"crossref","DOI":"10.1002\/adfm.202109805","article-title":"Machine learning-evolutionary algorithm enabled design for 4d-printed active composite structures","volume":"32","author":"Sun","year":"2022","journal-title":"Adv. Funct. Mater."},{"key":"10.1016\/j.engappai.2026.114552_bib53","doi-asserted-by":"crossref","DOI":"10.1016\/j.compositesb.2020.107898","article-title":"Mechanical response of negative stiffness truncated-conical shell systems: experiment, numerical simulation and empirical model","volume":"188","author":"Tan","year":"2020","journal-title":"Compos. Part B-Eng."},{"key":"10.1016\/j.engappai.2026.114552_bib54","doi-asserted-by":"crossref","DOI":"10.1016\/j.compstruct.2022.115308","article-title":"Effect of beam configuration on its multistable and negative stiffness properties","volume":"286","author":"Tan","year":"2022","journal-title":"Compos. Struct."},{"key":"10.1016\/j.engappai.2026.114552_bib55","doi-asserted-by":"crossref","DOI":"10.1016\/j.compscitech.2021.109245","article-title":"A novel programmable composite metamaterial with tunable Poisson's ratio and bandgap based on multi-stable switching","volume":"219","author":"Wang","year":"2022","journal-title":"Compos. Sci. Technol."},{"key":"10.1016\/j.engappai.2026.114552_bib56","article-title":"Machine learning enabled 3D printing parameter settings for desired mechanical properties, Virtual Phys","volume":"19","author":"Wang","year":"2024","journal-title":"Prototy."},{"key":"10.1016\/j.engappai.2026.114552_bib57","doi-asserted-by":"crossref","DOI":"10.1016\/j.tws.2025.113601","article-title":"Re-programmable mechanical metamaterials for tunable energy dissipation through pre-stressing: concept, mechanics and data-driven design","volume":"216","author":"Wang","year":"2025","journal-title":"Thin-Walled Struct."},{"issue":"213","key":"10.1016\/j.engappai.2026.114552_bib58","article-title":"A machine learning accelerated inverse design of underwater acoustic polyurethane coatings","volume":"65","author":"Weeratunge","year":"2022","journal-title":"Struct. Multidiscip. Optim."},{"key":"10.1016\/j.engappai.2026.114552_bib59","article-title":"Generative deep learning for designing irregular metamaterials with programmable nonlinear mechanical responses","volume":"291\u2013292","author":"Wei","year":"2025","journal-title":"Int. J. Mech. Sci."},{"issue":"3","key":"10.1016\/j.engappai.2026.114552_bib60","doi-asserted-by":"crossref","DOI":"10.1002\/adem.202201022","article-title":"Controlling malleability of metamaterials through programmable memory","volume":"25","author":"Wenz","year":"2023","journal-title":"Adv. Eng. Mater."},{"key":"10.1016\/j.engappai.2026.114552_bib61","doi-asserted-by":"crossref","DOI":"10.1016\/j.mechmachtheory.2022.105027","article-title":"Design of mechanical metamaterial for energy absorption using a beam with a variable cross-section","volume":"176","author":"Wu","year":"2022","journal-title":"Mech. Mach. Theor."},{"key":"10.1016\/j.engappai.2026.114552_bib62","doi-asserted-by":"crossref","DOI":"10.1016\/j.matdes.2023.111996","article-title":"Design of dual-material lattice structures with compression-torsion bistability","volume":"230","author":"Wu","year":"2023","journal-title":"Mater. Des."},{"key":"10.1016\/j.engappai.2026.114552_bib63","article-title":"Experimental and neural networks analysis on elevated-temperature mechanical properties of structural steels","volume":"42","author":"Wu","year":"2025","journal-title":"Mater. Today Commun."},{"key":"10.1016\/j.engappai.2026.114552_bib64","doi-asserted-by":"crossref","DOI":"10.1088\/2631-7990\/acf96a","article-title":"The design, manufacture and application of multistable mechanical metamaterials-a state-of-the-art review","volume":"5","author":"Xu","year":"2023","journal-title":"Int. J. Extrem. Manuf."},{"key":"10.1016\/j.engappai.2026.114552_bib65","doi-asserted-by":"crossref","DOI":"10.1016\/j.ijmecsci.2020.106171","article-title":"Crashworthiness of hierarchical truncated conical shells with corrugated cores","volume":"193","author":"Yang","year":"2021","journal-title":"Int. J. Mech. Sci."},{"key":"10.1016\/j.engappai.2026.114552_bib66","doi-asserted-by":"crossref","DOI":"10.1115\/1.4028995","article-title":"Dynamic crushing of all-metallic corrugated panels filled with close-celled aluminum foams","volume":"82","author":"Yu","year":"2015","journal-title":"J. Appl. Mech."},{"key":"10.1016\/j.engappai.2026.114552_bib67","doi-asserted-by":"crossref","DOI":"10.1016\/j.compstruct.2022.116334","article-title":"Data-driven multi-objective optimization of ultralight hierarchical origami-corrugation meta-sandwich structures","volume":"303","author":"Yue","year":"2023","journal-title":"Compos. Struct."},{"issue":"33","key":"10.1016\/j.engappai.2026.114552_bib68","doi-asserted-by":"crossref","DOI":"10.1002\/adfm.202101428","article-title":"Tailored mechanical metamaterials with programmable quasi-zero-stiffness features for full-band vibration isolation","volume":"31","author":"Zhang","year":"2021","journal-title":"Adv. Funct. Mater."},{"key":"10.1016\/j.engappai.2026.114552_bib69","doi-asserted-by":"crossref","DOI":"10.1016\/j.matdes.2021.110234","article-title":"A novel design of multi-stable metastructures for energy dissipation","volume":"212","author":"Zhang","year":"2021","journal-title":"Mater. Des."},{"key":"10.1016\/j.engappai.2026.114552_bib70","first-page":"1","article-title":"A machine learning framework for rapidly identifying and predicting mechanical properties of interconnected layer in SiC module considering surface metallization effect under high-temperature aging","author":"Zhao","year":"2025","journal-title":"IEEE Trans. Ind. Inf."},{"issue":"6190","key":"10.1016\/j.engappai.2026.114552_bib71","doi-asserted-by":"crossref","first-page":"1373","DOI":"10.1126\/science.1252291","article-title":"Ultralight, ultrastiff mechanical metamaterials","volume":"344","author":"Zheng","year":"2014","journal-title":"Science"},{"key":"10.1016\/j.engappai.2026.114552_bib72","doi-asserted-by":"crossref","first-page":"1100","DOI":"10.1038\/nmat4694","article-title":"Multiscale metallic metamaterials","volume":"15","author":"Zheng","year":"2016","journal-title":"Nat. Mater."},{"issue":"45","key":"10.1016\/j.engappai.2026.114552_bib73","doi-asserted-by":"crossref","DOI":"10.1002\/adma.202302530","article-title":"Deep learning in mechanical metamaterials: from prediction and generation to inverse design","volume":"35","author":"Zheng","year":"2023","journal-title":"Adv. Mater."},{"key":"10.1016\/j.engappai.2026.114552_bib74","doi-asserted-by":"crossref","first-page":"7563","DOI":"10.1038\/s41467-023-42068-x","article-title":"Unifying the design space and optimizing linear and nonlinear truss metamaterials by generative modeling","volume":"14","author":"Zheng","year":"2023","journal-title":"Nat. Commun."},{"key":"10.1016\/j.engappai.2026.114552_bib75","article-title":"Multistable twist metastructures with enhanced collapsibility and multidimensional programmability","volume":"95","author":"Zheng","year":"2024","journal-title":"Addit. Manuf."},{"key":"10.1016\/j.engappai.2026.114552_bib76","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2024.109408","article-title":"Predicting the properties of metamaterials consisting of curved-wall triangles using ensemble neural networks with interpretability","volume":"138","author":"Zhu","year":"2024","journal-title":"Eng. Appl. Artif. Intell."}],"container-title":["Engineering Applications of Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S095219762600833X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S095219762600833X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T17:20:05Z","timestamp":1778779205000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S095219762600833X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":76,"alternative-id":["S095219762600833X"],"URL":"https:\/\/doi.org\/10.1016\/j.engappai.2026.114552","relation":{},"ISSN":["0952-1976"],"issn-type":[{"value":"0952-1976","type":"print"}],"subject":[],"published":{"date-parts":[[2026,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Feature-driven machine learning for prediction and inverse design of bistable twist metastructures with highly nonlinear responses","name":"articletitle","label":"Article Title"},{"value":"Engineering Applications of Artificial Intelligence","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.engappai.2026.114552","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"114552"}}