Search:
Match:
5 results
research#materials science🔬 ResearchAnalyzed: Jan 4, 2026 06:50

Plastic inorganic Sn2BiS2I3 semiconductor enabled deformable and flexible electronic tongue for heavy metal detection

Published:Dec 28, 2025 06:49
1 min read
ArXiv

Analysis

This article describes a research paper on the development of a novel electronic tongue using a specific semiconductor material (Sn2BiS2I3) for detecting heavy metals. The focus is on the material's properties that allow for deformability and flexibility, which are desirable characteristics for electronic tongue applications. The source is ArXiv, indicating it's a pre-print or research paper.
Reference

“”

PermalinkArXiv
Research Paper#Materials Science, Machine Learning🔬 ResearchAnalyzed: Jan 4, 2026 00:01

PINN Predicts Vibrational Stability of Semiconductors

Published:Dec 26, 2025 02:18
1 min read
ArXiv

Analysis

This paper introduces a Physics-informed Neural Network (PINN) to predict the vibrational stability of inorganic semiconductors, a crucial property for high-throughput materials screening. The key innovation is incorporating the Born stability criteria directly into the loss function, ensuring the model adheres to fundamental physics. This approach leads to improved performance, particularly in identifying unstable materials, which is vital for filtering. The work contributes a valuable screening tool and a methodology for integrating domain knowledge to enhance predictive accuracy in materials informatics.
Reference

“The model shows consistent and improved performance, having been trained on a dataset of 2112 inorganic materials with validated phonon spectra, and getting an F1-score of 0.83 for both stable and unstable classes.”

PermalinkArXiv
Research#materials science🔬 ResearchAnalyzed: Jan 4, 2026 08:30

Structure, biomineralization and biodegradation of Ca-Mg oxyfluorosilicates synthesized by inorganic salt coprecipitation

Published:Dec 24, 2025 03:34
1 min read
ArXiv

Analysis

This article likely presents research findings on the synthesis and properties of Ca-Mg oxyfluorosilicates. The focus is on their structure, how they interact with biological processes (biomineralization), and their ability to break down (biodegradation). The method of synthesis, inorganic salt coprecipitation, is also highlighted.
Reference

“The article's content is based on the title, which suggests a focus on the material's properties and synthesis method.”

PermalinkArXiv
Research#llm🔬 ResearchAnalyzed: Jan 4, 2026 06:57

Kolmogorov-Arnold Graph Neural Networks Applied to Inorganic Nanomaterials Dataset

Published:Dec 22, 2025 15:49
1 min read
ArXiv

Analysis

This article likely presents a research paper applying a specific type of graph neural network (Kolmogorov-Arnold) to analyze a dataset of inorganic nanomaterials. The focus is on the methodology and results of this application. The source being ArXiv suggests it's a pre-print or a published research paper.

Key Takeaways

    Reference

    “”

    PermalinkArXiv
    Research#Synthesis🔬 ResearchAnalyzed: Jan 10, 2026 10:01

    AI Predicts Nanoparticle Synthesis from Limited Data: Cu Case Study

    Published:Dec 18, 2025 13:53
    1 min read
    ArXiv

    Analysis

    This research explores the use of machine learning to predict the synthesis of inorganic materials, specifically copper nanoparticles, from small datasets. The study's focus on size control using AI is a significant contribution to materials science.
    Reference

    “The research focuses on size-controlled Cu Nanoparticles.”

    PermalinkArXiv