Predicting the onset temperature (Tg) of Ge Se1− glass transition: a feature selection based two-stage support vector regression method

Research article (Science Bulletin, 2019) · cited 63× · AI/ML
Press Enter · cited answer in seconds

Predicting the onset temperature (Tg) of Ge Se1− glass transition: a feature selection based two-stage support vector regression method

Summary

Predicting the onset temperature (Tg) of Ge Se1− glass transition: a feature selection based two-stage support vector regression method is a scholarly article[1].

Key Facts

  • Predicting the onset temperature (Tg) of Ge Se1− glass transition: a feature selection based two-stage support vector regression method's instance of is recorded as scholarly article[2].

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Predicting the onset temperature (Tg) of Ge Se1− glass transition: a feature selection based two-stage support vector regression method. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-the-onset-temperature-tg-of-ge-se1-glass-transition-a-feature-selection-based-two-stage-support-vector-regres
MLA “Predicting the onset temperature (Tg) of Ge Se1− glass transition: a feature selection based two-stage support vector regression method.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-the-onset-temperature-tg-of-ge-se1-glass-transition-a-feature-selection-based-two-stage-support-vector-regres.
BibTeX @misc{4ortxyz_predicting-the-onset-temperature-tg-of-ge-se1-glass-transition-a-feature-selection-based-two-stage-support-vector-regres_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting the onset temperature (Tg) of Ge Se1− glass transition: a feature selection based two-stage support vector regression method}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-the-onset-temperature-tg-of-ge-se1-glass-transition-a-feature-selection-based-two-stage-support-vector-regres}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predicting the onset temperature (Tg) of Ge Se1− glass transition: a feature selection based two-stage support vector regression method — https://4ort.xyz/entity/predicting-the-onset-temperature-tg-of-ge-se1-glass-transition-a-feature-selection-based-two-stage-support-vector-regres (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/predicting-the-onset-temperature-tg-of-ge-se1-glass-transition-a-feature-selection-based-two-stage-support-vector-regres · Last refreshed: