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dc.contributor.authorAlexander E. Siemenn,   Basita Das, Eunice Aissi, Fang Sheng, Lleyton Elliott, Blake Hudspeth, Marilyn Meyers, James Serdy and Tonio Buonassisi
dc.date.accessioned2026-02-26T15:41:44Z
dc.date.available2026-02-26T15:41:44Z
dc.date.issued2025-01-31
dc.date.submitted2024-08-05
dc.identifier.issn2635-098X
dc.identifier.urihttps://hdl.handle.net/1721.1/164964
dc.description.abstractThe maturation of 3D printing technology has enabled low-cost, rapid prototyping capabilities for mainstreaming accelerated product design. The materials research community has recognized this need, but no universally accepted rapid prototyping technique currently exists for material design. Toward this end, we develop Archerfish, a 3D printer retrofitted to dispense liquid with in situ mixing capabilities for performing high-throughput combinatorial printing (HTCP) of material compositions. Using this HTCP design, we demonstrate continuous printing throughputs of up to 250 unique compositions per minute, 100× faster than similar tools such as Opentrons that utilize stepwise printing with ex situ mixing. We validate the formation of these combinatorial “prototype” material gradients using hyperspectral image analysis and energy-dispersive X-ray spectroscopy. Furthermore, we describe hardware challenges to realizing reproducible, accurate, and precise composition gradients with continuous printing, including those related to precursor dispensing, mixing, and deposition. Despite these limitations, the continuous printing and low-cost design of Archerfish demonstrate promising accelerated materials screening results across a range of materials systems from nanoparticles to perovskites.en_US
dc.publisherRoyal Society of Chemistryen_US
dc.relation.isversionofhttps://doi.org/10.1039/D4DD00249Ken_US
dc.rightsCreative Commons Attribution-Noncommercialen_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/en_US
dc.sourceRoyal Society of Chemistryen_US
dc.titleArcherfish: A Retrofitted 3D Printer for High-throughput Combinatorial Experimentation via Continuous Printingen_US
dc.typeArticleen_US
dc.identifier.citationAlexander E. Siemenn,   Basita Das, Eunice Aissi, Fang Sheng, Lleyton Elliott, Blake Hudspeth, Marilyn Meyers, James Serdy and Tonio Buonassisi. 2025. "Archerfish: A Retrofitted 3D Printer for High-throughput Combinatorial Experimentation via Continuous Printing." Digital Discovery, (4).
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.relation.journalDigital Discoveryen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.date.submission2026-02-13T16:40:00Z
mit.journal.issue4en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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