Designing optical glasses by machine learning coupled with a genetic algorithm. Issue 8 (15th April 2021)
- Record Type:
- Journal Article
- Title:
- Designing optical glasses by machine learning coupled with a genetic algorithm. Issue 8 (15th April 2021)
- Main Title:
- Designing optical glasses by machine learning coupled with a genetic algorithm
- Authors:
- Cassar, Daniel R.
Santos, Gisele G.
Zanotto, Edgar D. - Abstract:
- Abstract: Engineering new glass compositions have experienced a sturdy tendency to move forward from (educated) trial-and-error to data- and simulation-driven strategies. In this work, we developed a computer program that combines data-driven predictive models (in this case, neural networks) with a genetic algorithm to design glass compositions with desired combinations of properties. First, we induced predictive models for the glass transition temperature ( T g ) using a dataset of 45, 302 compositions with 39 different chemical elements, and for the refractive index ( n d ) using a dataset of 41, 225 compositions with 38 different chemical elements. Then, we searched for relevant glass compositions using a genetic algorithm informed by a design trend of glasses having high n d (1.7 or more) and low T g (500 °C or less). Two candidate compositions suggested by the combined algorithms were selected and produced in the laboratory. These compositions are significantly different from those in the datasets used to induce the predictive models, showing that the used method is indeed capable of exploration. Both glasses met the constraints of the work, which supports the proposed framework. Therefore, this new tool can be immediately used for accelerating the design of new glasses. These results are a stepping stone in the pathway of machine learning-guided design of novel glasses.
- Is Part Of:
- Ceramics international. Volume 47:Issue 8(2021)
- Journal:
- Ceramics international
- Issue:
- Volume 47:Issue 8(2021)
- Issue Display:
- Volume 47, Issue 8 (2021)
- Year:
- 2021
- Volume:
- 47
- Issue:
- 8
- Issue Sort Value:
- 2021-0047-0008-0000
- Page Start:
- 10555
- Page End:
- 10564
- Publication Date:
- 2021-04-15
- Subjects:
- Oxide glass -- Optical glass -- Machine learning -- Genetic algorithm -- Refractive index -- Glass transition temperature
Ceramics -- Periodicals
Céramique industrielle -- Périodiques
Ceramics
Periodicals
Electronic journals
666 - Journal URLs:
- http://www.sciencedirect.com/science/journal/02728842 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ceramint.2020.12.167 ↗
- Languages:
- English
- ISSNs:
- 0272-8842
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3119.015000
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British Library HMNTS - ELD Digital store - Ingest File:
- 16142.xml