Accelerated engineering and genetic programming of wood-based living composite materials.
Saved in:
| Title: | Accelerated engineering and genetic programming of wood-based living composite materials. |
|---|---|
| Authors: | Schmachtenberg, Rosanne1,2 (AUTHOR), Mayer, Hanna1,3 (AUTHOR), Litwin, Tim4,5 (AUTHOR), Conrad, Stefan2,6 (AUTHOR), Auth, Philipp2,6 (AUTHOR), Teutloff, Nele1,7 (AUTHOR), Falkenstein, Johannes1 (AUTHOR), Elberskirch, Linda1 (AUTHOR), Goodarzi, Payman1 (AUTHOR), Rauer, Karolin8 (AUTHOR), Wrublewsky, Selina9 (AUTHOR), Laschke, Matthias W.9 (AUTHOR), Weber, Achim8,10 (AUTHOR), Masselter, Tom2,6 (AUTHOR), Finkbeiner, Matthias1,7 (AUTHOR), Speck, Thomas2,6,11 (AUTHOR), Kreutz, Clemens4,5 (AUTHOR), Weber, Wilfried1,3,4 (AUTHOR) Wilfried.weber@leibniz-inm.de |
| Source: | Materials Today. Sep2026, Vol. 98, pN.PAG-N.PAG. 1p. |
| Subjects: | Engineered wood, Bacterial genetic engineering, Biodegradable materials, Mechanical behavior of materials, Optimization algorithms, Manufacturing industries, Biomimetic materials, Genetic software |
| Abstract: | [Display omitted] • Design of wood composites with genetically programmable structure and function. • AI-driven optimisation towards desired mechanical material properties. • Scalable manufacturing of free-form demonstrator objects. Engineering cells to fabricate and program bio-based materials presents a sustainable alternative to petroleum-derived composites while simultaneously enabling the integration of advanced functionality. This is particularly relevant for engineered wood composites, which are widely used in construction, yet rely on petrol-based, non-biodegradable binders. Here, we develop bio-programmed wood composites using engineered bacteria, addressing both functional enhancement and sustainability. To navigate the large design space linking genetic programs, material composition, and processing conditions to mechanical performance, we combine lab automation with a pretrained transformer model for in-context prediction. This approach enables rapid identification of formulations yielding desired mechanical properties. Beyond mechanical properties, we introduce programmable features such as optogenetically patterned in situ pigmentation, local porosity control, and autonomous damage reporting. We demonstrate the applicability of our approach through manufacturing macro-scale furniture prototypes. Our platform establishes a blueprint for the accelerated, AI-driven development of sustainable, living multifunctional materials with applications in construction and beyond. [ABSTRACT FROM AUTHOR] |
| Copyright of Materials Today is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 195678120 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Accelerated engineering and genetic programming of wood-based living composite materials. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Schmachtenberg%2C+Rosanne%22">Schmachtenberg, Rosanne</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mayer%2C+Hanna%22">Mayer, Hanna</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Litwin%2C+Tim%22">Litwin, Tim</searchLink><relatesTo>4,5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Conrad%2C+Stefan%22">Conrad, Stefan</searchLink><relatesTo>2,6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Auth%2C+Philipp%22">Auth, Philipp</searchLink><relatesTo>2,6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Teutloff%2C+Nele%22">Teutloff, Nele</searchLink><relatesTo>1,7</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Falkenstein%2C+Johannes%22">Falkenstein, Johannes</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Elberskirch%2C+Linda%22">Elberskirch, Linda</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Goodarzi%2C+Payman%22">Goodarzi, Payman</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rauer%2C+Karolin%22">Rauer, Karolin</searchLink><relatesTo>8</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wrublewsky%2C+Selina%22">Wrublewsky, Selina</searchLink><relatesTo>9</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Laschke%2C+Matthias+W%2E%22">Laschke, Matthias W.</searchLink><relatesTo>9</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Weber%2C+Achim%22">Weber, Achim</searchLink><relatesTo>8,10</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Masselter%2C+Tom%22">Masselter, Tom</searchLink><relatesTo>2,6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Finkbeiner%2C+Matthias%22">Finkbeiner, Matthias</searchLink><relatesTo>1,7</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Speck%2C+Thomas%22">Speck, Thomas</searchLink><relatesTo>2,6,11</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kreutz%2C+Clemens%22">Kreutz, Clemens</searchLink><relatesTo>4,5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Weber%2C+Wilfried%22">Weber, Wilfried</searchLink><relatesTo>1,3,4</relatesTo> (AUTHOR)<i> Wilfried.weber@leibniz-inm.de</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Materials+Today%22">Materials Today</searchLink>. Sep2026, Vol. 98, pN.PAG-N.PAG. 1p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Engineered+wood%22">Engineered wood</searchLink><br /><searchLink fieldCode="DE" term="%22Bacterial+genetic+engineering%22">Bacterial genetic engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Biodegradable+materials%22">Biodegradable materials</searchLink><br /><searchLink fieldCode="DE" term="%22Mechanical+behavior+of+materials%22">Mechanical behavior of materials</searchLink><br /><searchLink fieldCode="DE" term="%22Optimization+algorithms%22">Optimization algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Manufacturing+industries%22">Manufacturing industries</searchLink><br /><searchLink fieldCode="DE" term="%22Biomimetic+materials%22">Biomimetic materials</searchLink><br /><searchLink fieldCode="DE" term="%22Genetic+software%22">Genetic software</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: [Display omitted] • Design of wood composites with genetically programmable structure and function. • AI-driven optimisation towards desired mechanical material properties. • Scalable manufacturing of free-form demonstrator objects. Engineering cells to fabricate and program bio-based materials presents a sustainable alternative to petroleum-derived composites while simultaneously enabling the integration of advanced functionality. This is particularly relevant for engineered wood composites, which are widely used in construction, yet rely on petrol-based, non-biodegradable binders. Here, we develop bio-programmed wood composites using engineered bacteria, addressing both functional enhancement and sustainability. To navigate the large design space linking genetic programs, material composition, and processing conditions to mechanical performance, we combine lab automation with a pretrained transformer model for in-context prediction. This approach enables rapid identification of formulations yielding desired mechanical properties. Beyond mechanical properties, we introduce programmable features such as optogenetically patterned in situ pigmentation, local porosity control, and autonomous damage reporting. We demonstrate the applicability of our approach through manufacturing macro-scale furniture prototypes. Our platform establishes a blueprint for the accelerated, AI-driven development of sustainable, living multifunctional materials with applications in construction and beyond. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Materials Today is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=195678120 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.mattod.2026.103424 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: N.PAG Subjects: – SubjectFull: Engineered wood Type: general – SubjectFull: Bacterial genetic engineering Type: general – SubjectFull: Biodegradable materials Type: general – SubjectFull: Mechanical behavior of materials Type: general – SubjectFull: Optimization algorithms Type: general – SubjectFull: Manufacturing industries Type: general – SubjectFull: Biomimetic materials Type: general – SubjectFull: Genetic software Type: general Titles: – TitleFull: Accelerated engineering and genetic programming of wood-based living composite materials. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Schmachtenberg, Rosanne – PersonEntity: Name: NameFull: Mayer, Hanna – PersonEntity: Name: NameFull: Litwin, Tim – PersonEntity: Name: NameFull: Conrad, Stefan – PersonEntity: Name: NameFull: Auth, Philipp – PersonEntity: Name: NameFull: Teutloff, Nele – PersonEntity: Name: NameFull: Falkenstein, Johannes – PersonEntity: Name: NameFull: Elberskirch, Linda – PersonEntity: Name: NameFull: Goodarzi, Payman – PersonEntity: Name: NameFull: Rauer, Karolin – PersonEntity: Name: NameFull: Wrublewsky, Selina – PersonEntity: Name: NameFull: Laschke, Matthias W. – PersonEntity: Name: NameFull: Weber, Achim – PersonEntity: Name: NameFull: Masselter, Tom – PersonEntity: Name: NameFull: Finkbeiner, Matthias – PersonEntity: Name: NameFull: Speck, Thomas – PersonEntity: Name: NameFull: Kreutz, Clemens – PersonEntity: Name: NameFull: Weber, Wilfried IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 13697021 Numbering: – Type: volume Value: 98 Titles: – TitleFull: Materials Today Type: main |
| ResultId | 1 |