Current Opinion in Solid State & Materials Science

Papers
(The TQCC of Current Opinion in Solid State & Materials Science is 28. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-05-01 to 2026-05-01.)
ArticleCitations
Amorphous oxide semiconductors: From fundamental properties to practical applications166
Understanding how bacterial collectives organize on surfaces by tracking surfactant flow143
Accelerated emergence of CoNi-based medium-entropy alloys with emphasis on their mechanical properties142
Designing refractory complex concentrated alloys for extreme environments115
Toward high-quality graphene film growth by chemical vapor deposition system88
Grain refinement and morphological control of intermetallic compounds: A comprehensive review81
Graphene- polymer nanocomposite-based wearable strain sensors for physiological signal Monitoring: Recent progress and challenges72
Electric current-induced phenomena in metallic materials69
Editorial Board67
Liquid crystalline elastomer actuators with dynamic covalent bonding: Synthesis, alignment, reprogrammability, and self-healing67
Editorial Board66
Dopants and defects in ultra-wide bandgap semiconductors65
Conductive-synthetic diamond materials in meeting the sustainable development goals64
Editorial: Special issue on solid-state battery materials, phenomena, and systems56
Editorial Board55
Solid state lithium metal batteries – Issues and challenges at the lithium-solid electrolyte interface54
Predicting displacement damage for ion irradiation: Origin of the overestimation of vacancy production in SRIM full-cascade calculations54
High strain rate nanoindentation testing: Recent advancements, challenges and opportunities54
The next generation of nanoindentation and small-scale mechanical testing49
History, present status, and future directions of vanadium alloys for fusion reactors47
Graphene-based sensors for multiscenario applications: from functional interface engineering to artificial intelligence-driven optimization46
Recent advances in describing and driving crystal nucleation using machine learning and artificial intelligence46
Review on thermal transport and lattice dynamics of high-entropy alloys containing Ni45
Artificial Intelligence and Machine Learning for materials41
Chemomechanics: Friend or foe of the “AND problem” of solid-state batteries?38
Monolithic 3D integration as a pathway to energy-efficient computing and beyond: From materials and devices to architectures and chips38
Advances in additive manufacturing of cemented carbides: From powder production to mechanical properties and future challenges37
Hydriding of titanium: Recent trends and perspectives in advanced characterization and multiscale modeling35
Rational design of high-entropy ceramics based on machine learning – A critical review35
Current opinions on memristor-accelerated machine learning hardware34
Chiral photonic materials self-assembled by cellulose nanocrystals32
From jammed solids to mechanical metamaterials : A brief review31
Deformation-induced martensitic transformations: A strategy for overcoming the strength-ductility trade-off in high-entropy alloys30
Intrinsically stretchable sensory-neuromorphic system for sign language translation30
Advancements in fluorescence lifetime imaging microscopy Instrumentation: Towards high speed and 3D29
Autonomous materials research and design: Characterization28
Editorial Board28
Sampling thermodynamic ensembles of molecular systems with generative neural networks: Will integrating physics-based models close the generalization gap?28
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