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<p>Recent advancements in superconductivity have generated significant interest in silver oxide-based materials due to their potential for unconventional superconducting mechanisms and unique electronic properties. This review provides a comprehensive analysis of recent progress in the synthesis, characterization and theoretical modeling of these superconductors. Experimental techniques such as hydrothermal, sol-gel and solid-state methods are critically assessed, highlighting key challenges in achieving the desired composition, crystal structure and phase purity. Additionally, the integration of density functional theory (DFT) and machine learning (ML) has emerged as a powerful approach for predicting novel silver oxide superconductors with improved properties, with recent models identifying candidate materials with potential <InlineEquation ID="IEq1"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="43207_2025_515_Article_IEq1.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="18" /> </InlineMediaObject> <EquationSource Format="TEX">\({T}_{c}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>T</mi> <mi>c</mi> </msub> </math></EquationSource> </InlineEquation> values exceeding 50 K. Despite these promising developments, significant challenges remain, particularly concerning large-scale production, material stability and superconducting phase optimization. By integrating experimental insights with computational advancements, this review outlines key directions for future research, aiming to accelerate the discovery and practical implementation of silver oxide-based superconductors for energy, quantum computing and electronic applications.</p> Graphical abstract <p></p>

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Recent advances in silver oxide-based superconductors: characterization, challenges and theoretical progress

  • 期刊论文

  • 发表日期：

    2025年5月14日

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  • Tulus Na Duma,
  • Syahrul Humaidi,
  • Agung Imaduddin,
  • Mohd. Mustafa Awang Kechik,
  • Muralidhar Miryala

摘要

Recent advancements in superconductivity have generated significant interest in silver oxide-based materials due to their potential for unconventional superconducting mechanisms and unique electronic properties. This review provides a comprehensive analysis of recent progress in the synthesis, characterization and theoretical modeling of these superconductors. Experimental techniques such as hydrothermal, sol-gel and solid-state methods are critically assessed, highlighting key challenges in achieving the desired composition, crystal structure and phase purity. Additionally, the integration of density functional theory (DFT) and machine learning (ML) has emerged as a powerful approach for predicting novel silver oxide superconductors with improved properties, with recent models identifying candidate materials with potential \({T}_{c}\) T c values exceeding 50 K. Despite these promising developments, significant challenges remain, particularly concerning large-scale production, material stability and superconducting phase optimization. By integrating experimental insights with computational advancements, this review outlines key directions for future research, aiming to accelerate the discovery and practical implementation of silver oxide-based superconductors for energy, quantum computing and electronic applications.

Graphical abstract