Creating Gallium-based alloys with the lowest melting point via reverse design approach
Bibliographic record
Abstract
No abstract is available for this record. The assistant can identify its topic from the title, but cannot infer the study’s results.
Source: Not provided · Quality: missing
Research context
OpenAlex topics: Additive Manufacturing Materials and Processes · Aluminum Alloy Microstructure Properties · Electron and X-Ray Spectroscopy Techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (51)
Show source-provided references
1. Liquid-metal experiments on geophysical and astrophysical phenomena10.1038/s42254-024-00724-1 ↗
2. Liquid metal phase change materials for thermal management of electronics
3. A diffusion model for liquid metal dealloying. Application to NiCu precursors dealloyed in liquid Ag10.1016/j.actamat.2024.119908 ↗
4. Actuation technique of liquid metal in thermal management: a review10.1016/j.applthermaleng.2024.123290 ↗
5. Low melting point metal alloys for cost-efficient deposition of electrodes in perovskite solar cells10.1016/j.synthmet.2023.117301 ↗
6. A recent review of waste heat recovery by Organic Rankine Cycle10.1016/j.applthermaleng.2018.07.136 ↗
7. Synergistic phase change and heat conduction of low melting-point alloy microparticle additives in expanded graphite shape-stabilized organic phase change materials10.1016/j.cej.2024.149009 ↗
8. Analysis of factors influencing measurement accuracy for high-temperature liquid metal flow sensors in nuclear power
9. Energy transfer and interaction between liquid metal with water10.1016/j.energy.2023.129865 ↗
10. Characteristics for gallium-based liquid alloys of low melting temperature10.3390/met13030615 ↗
11. Identifying surface structural changes in a newly-developed Ga-based alloy with melting temperature below 10 °C10.1016/j.apsusc.2019.06.203 ↗
12. Composition, microstructure, phase constitution and fundamental physicochemical properties of low-melting-point multi-component eutectic alloys10.1016/j.jmst.2016.08.022 ↗
13. Low-melting-point liquid metal convective heat transfer: a review10.1016/j.applthermaleng.2021.117021 ↗
14. Machine learning-directed fast and high-throughput acquisition of high-efficiency microwave absorbents from infinite design space10.1002/adfm.202303108 ↗
15. Partial melting nature of phase-change memory Ge-Sb-Te superlattice uncovered by large-scale machine learning interatomic potential molecular dynamics10.1016/j.actamat.2024.120123 ↗
16. Unveiling yield strength of metallic materials using physics-enhanced machine learning under diverse experimental conditions10.1016/j.actamat.2024.120046 ↗
17. Band-edge prediction of 2D covalent organic frameworks from Molecular Precursor via machine learning10.1021/acs.jpclett.3c01419 ↗
18. Comparing the accuracy of melting temperature prediction methods for high entropy alloys10.1063/5.0101548 ↗
19. P.-W. Guan, V. Viswanathan, MeltNet: predicting alloy melting temperature by machine learning, arXiv preprint arXiv:2010.14048 (2020).
20. A property-driven stepwise design strategy for multiple low-melting alloys via machine learning10.1002/adem.202100612 ↗
21. Target-directed discovery for low melting point alloys via inverse design strategy10.1016/j.jallcom.2023.172664 ↗
22. Small data machine learning in materials science10.1038/s41524-023-01000-z ↗
23. Multi-principal element alloy discovery using directed energy deposition and machine learning10.1016/j.msea.2023.145945 ↗
24. Designing unique and high-performance Al alloys via machine learning: mitigating data bias through active learning10.1016/j.commatsci.2024.113204 ↗
25. Active learning for alloy design10.1038/s43588-022-00365-3 ↗
26. Accelerated exploration of high-performance multi-principal element alloys: data-driven high-throughput calculations and active learning method10.1080/21663831.2023.2215826 ↗
27. Accelerated discovery of high-performance Al-Si-Mg-Sc casting alloys by integrating active learning with high-throughput CALPHAD calculations10.1080/14686996.2023.2196242 ↗
28. Machine learning-enabled high-entropy alloy discovery
29. Accelerated discovery of Magnesium-based amorphous alloys through a property-driven active learning strategy10.1016/j.jmrt.2024.09.019 ↗
30. Deep learning in neural networks: an overview10.1016/j.neunet.2014.09.003 ↗
31. Intelligent optimization algorithm for Support vector machine: research and analysis of prediction ability10.1142/S0218213023500483 ↗
32. A learning system-based soft multiple linear regression model
33. Network inference with the lasso10.1080/00273171.2024.2317928 ↗
34. g.ridge: an R package for generalized ridge regression for sparse and high-dimensional linear models10.3390/sym16020223 ↗
35. Deep learning for multi-output regression using gradient boosting10.1109/ACCESS.2024.3359115 ↗
36. Development and improvement of a method for determining the worst-case typhoon path for storm surge deviation through bayesian optimization10.1016/j.engappai.2024.107950 ↗
37. Portable system to detect starch adulteration in turmeric using NIR spectroscopy10.1016/j.foodcont.2023.110095 ↗
38. Raman spectroscopy combined with partial least squares (PLS) based on hybrid spectral preprocessing and backward interval PLS (biPLS) for quantitative analysis of four PAHs in oil sludge10.1016/j.saa.2024.123953 ↗
39. OCPMDM 2.0: an intelligent solution for materials data mining10.1016/j.chemolab.2023.105022 ↗
40. Settles · 2009
41. Active learning guided discovery of high entropy oxides featuring high H2-production10.1021/jacs.4c06272 ↗
42. Accelerated discovery of near-zero ablation ultra-high temperature ceramics via GAN-enhanced directionally constrained active learning
43. Inverse design of hybrid organic–Inorganic perovskites with suitable bandgaps via proactive searching progress10.1021/acsomega.2c01380 ↗
44. The mastery of details in the workflow of materials machine learning10.1038/s41524-024-01331-5 ↗
45. Structured illumination microscopy based on principal component analysis10.1186/s43593-022-00035-x ↗
46. Mixtures of probabilistic principal component analyzers10.1162/089976699300016728 ↗
47. Refined composite multiscale fluctuation-based dispersion Lempel-Ziv complexity for signal analysis10.1016/j.isatra.2022.06.040 ↗
48. Effect of MnO2-biochar composites on promoting humification during chicken manure composting10.1007/s42773-024-00315-4 ↗
49. Characteristics for gallium-based liquid alloys of low melting temperature10.3390/met13030615 ↗
50. Interfacial reactions of low-melting Sn-Bi-Ga solder alloy on Cu substrate10.1007/s11664-015-4142-5 ↗
51. Role of uncertainty estimation in accelerating materials development via active learning10.1063/5.0012405 ↗