2023
DOI: 10.1016/j.jnoncrysol.2022.121988
|View full text |Cite
|
Sign up to set email alerts
|

Genome-based approach to new Nd: Phosphate glass: Composition-structure-property statistical modeling and validation

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3

Citation Types

0
3
0

Year Published

2023
2023
2025
2025

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 8 publications
(3 citation statements)
references
References 33 publications
0
3
0
Order By: Relevance
“…However, previous exploration of new glass and its properties mainly relied on the empirical “trial and error” method with long experimental cycles and low efficiency, which greatly restricted the rapid development of related fields. To overcome this limitation, researchers have tried to predict the properties of glass theoretically through empirical formulas or models 4–9 . Despite this, existing physical and empirical models, such as addition methods, statistical methods, and machine learning, have little effect on predicting C–S–P relationships.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…However, previous exploration of new glass and its properties mainly relied on the empirical “trial and error” method with long experimental cycles and low efficiency, which greatly restricted the rapid development of related fields. To overcome this limitation, researchers have tried to predict the properties of glass theoretically through empirical formulas or models 4–9 . Despite this, existing physical and empirical models, such as addition methods, statistical methods, and machine learning, have little effect on predicting C–S–P relationships.…”
Section: Introductionmentioning
confidence: 99%
“…To overcome this limitation, researchers have tried to predict the properties of glass theoretically through empirical formulas or models. [4][5][6][7][8][9] Despite this, existing physical and empirical models, such as addition methods, statistical methods, and machine learning, have little effect on predicting C-S-P relationships. Specifically, most of these methods are currently limited to calculating the physical properties, which makes it difficult to effectively guide the exploration of new laser glass.…”
Section: Introductionmentioning
confidence: 99%
“…In the journey to a multi-PW laser, increasing the pulse energy beyond 1 kilojoule (kJ) is an internationally recognized technical solution [ 7 9 ] . Up to 2022, ELI-beamlines L4-Aton in Czechia [ 10 – 11 ] , NIF-ARC [ 12 ] and OMEGA EP [ 13 ] in the USA, LFEX [ 14 ] in Japan and SG-II [ 15 ] in China facilitated by the large-aperture Nd:glass [ 16 ] CPA/OPCPA technique have been operational at more than 1 PW. Furthermore, more than 20 laser facilities [ 17 ] worldwide will be scaled to 10–50 PW in the future, followed by high-energy amplification and compression at the central wavelength of 1053 nm.…”
Section: Introductionmentioning
confidence: 99%