Yayın: Structure-Informed Design of Float-Compatible Thin Glass Supported by Data-Driven Screening
| dc.contributor.author | Gosterislioglu, Yekta Ates | |
| dc.contributor.author | Arslan, Banu | |
| dc.contributor.author | Sokmen, Ilkay | |
| dc.contributor.author | Celikbilek Ersundu, Miray | |
| dc.contributor.author | Ersundu, Ali Ercin | |
| dc.date.accessioned | 2026-06-27T15:36:54Z | |
| dc.date.issued | 2026 | |
| dc.description.abstract | Motivated by growing demand in electronics, automotive, photovoltaic, and architectural applications, thin-glass products offer substantial potential for material savings and reduced environmental impact, yet their widespread adoption is limited by mechanical instability and reliance on non-float manufacturing routes. In this work, we establish a comprehensive framework for the design of mechanically robust thin-glass compositions compatible with conventional float-glass production. The approach combines (i) structure-informed, composition-structure-property-driven design and (ii) data-driven screening based on artificial intelligence-assisted predictive modeling. While the data-driven approach is used to efficiently explore a broad compositional space and identify candidate glasses with high intrinsic elastic modulus and hardness, the primary optimization of chemical strengthening response and processability is achieved through structure-informed design. Glass compositions within the SiO2-Al2O3-B2O3-RO-R ' 2O system (R = Mg, Ca; R ' = Li, Na, K) were designed to target chemical temperability, mechanical durability, and float-line processability, and were evaluated through thermal, optical, structural, and mechanical analyses. The optimized compositions achieved stress layer depths up to similar to 40 & micro;m after chemical tempering, enabling high mechanical performance at reduced thickness. The best-performing glasses exhibited a similar to 10% increase in fracture load and a similar to 25% increase in surface hardness at a thickness of 0.75 mm. When benchmarked against standard 1.6 mm soda-lime-silica glass, this corresponds to a reduced areal weight of 1.85 kg m-2 (similar to 50% lower mass) and an estimated similar to 60% reduction in process-related CO2 emissions per square meter, based on reduced material usage within the defined boundary. By integrating data-driven screening with structure-informed composition design, this work establishes a scalable pathway for next-generation thin flat glass development, supporting environmentally sustainable and energy-efficient glass manufacturing. | en |
| dc.description.sponsorship | Scientific and Technological Research Council of Trkiye (TBIdot | |
| dc.description.sponsorship | TAK) [119C098] | |
| dc.description.uri | https://doi.org/10.1111/jace.70885 | |
| dc.identifier.doi | 10.1111/jace.70885 | |
| dc.identifier.eissn | 1551-2916 | |
| dc.identifier.issn | 0002-7820 | |
| dc.identifier.issue | 6 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14981/72027 | |
| dc.identifier.volume | 109 | |
| dc.identifier.wos | 001777662800001 | |
| dc.language.iso | eng | |
| dc.publisher | WILEY | |
| dc.relation.ispartof | JOURNAL OF THE AMERICAN CERAMIC SOCIETY | |
| dc.rights | openAccess | |
| dc.subject | artificial intelligence-assisted predictive modeling | |
| dc.subject | chemical strengthening | |
| dc.subject | composition-structure-property relationships | |
| dc.subject | sustainable glass manufacturing | |
| dc.subject | thin flat glass | |
| dc.subject | ALKALI ALUMINOSILICATE GLASSES | |
| dc.subject | PROPERTY RELATIONSHIPS | |
| dc.subject | ELASTIC PROPERTIES | |
| dc.subject | STRENGTH | |
| dc.subject | RESISTANCE | |
| dc.subject | STATE | |
| dc.subject | Materials Science | |
| dc.title | Structure-Informed Design of Float-Compatible Thin Glass Supported by Data-Driven Screening | |
| dc.type | Article | |
| dspace.entity.type | Publication | |
| local.import.source | WOS |