Leading open access, international journals for outstanding research articles across all aspects of materials science.

Joined November 2017
659 Photos and videos
What is #Starrydata ? Take a look at this video commentary on the world's largest database of experimental data on thermoelectric materials! #STAMMethods youtu.be/_aHzgDQA65U?si=pWQD… @YouTube @nezdenmama
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#STAM Heated TMAH enables rapid, controllable wet etching of (−102) β-Ga₂O₃, yielding precise V-shaped trenches for reproducible device fabrication. 🔗 doi.org/10.1080/14686996.202… #Ga2O3
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#STAM Integration of Nb:STO with Si-based µTEGs boosts sustainable energy harvesting in low-power electronics through improved thermal management. 🔗 doi.org/10.1080/14686996.202… #MicroTEG
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#STAM Study reveals how high-mobility carriers in RbV₃Sb₅ Kagome metal underlie superconductivity as CDW is suppressed under pressure. 🔗 doi.org/10.1080/14686996.202… #Superconductivity
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#STAM This review introduces “optochemistry,” merging optics and chemistry to explore new phenomena with light as waves or beams. 🔗 doi.org/10.1080/14686996.202… #Optochemistry
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#STAM CNT-based air-electrode enables lithium–air batteries to operate efficiently in atmospheric O₂, achieving high energy density and long cycle life. 🔗 doi.org/10.1080/14686996.202… #LithiumAir
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STAM & STAM Methods retweeted
A standout review in @STAM_journal 🔬🌟 Author Takashi Miyata explores how molecular recognition can drive dynamic functions across hydrogels, nanogels, interfaces, opening new possibilities for responsive materials. 📖 Read the full article: spr.ly/6010BBa4Ki
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STAM & STAM Methods retweeted
🆕 5月8日にオンライン公開🙌 @STAM_Journal にて公開されたばかりの論文をご紹介。 日本の研究機関から発表された分子認識を基盤としたポリマー材料の機能設計に関する論文です。 アクセスはこちらから➡️spr.ly/6015BBF119 #分子認識 #刺激応答性ポリマー #ハイドロゲル #ナノゲル
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#STAMMethods Bayesian modeling links XRD peaks to tensile modulus, enabling interpretable, nondestructive grading of recycled polypropylene. 🔗 doi.org/10.1080/27660400.202… #Polypropylene
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#STAM Sb-modified porous Zn anode enables dendrite-free, durable zinc–air batteries with excellent reversibility and cycle life. 🔗 doi.org/10.1080/14686996.202… #Batteries
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#STAM Graphene quantum dots modulate α-synuclein aggregation and show promise as biomaterials for targeting synucleinopathies like Parkinson’s. 🔗 doi.org/10.1080/14686996.202… #Neurodegeneration
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#STAM Review: Polymeric soft materials use molecular recognition to enable smart responses in drug delivery, biosensing, and interfaces. 🔗 doi.org/10.1080/14686996.202… #SmartMaterials
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#STAM Study shows −NH₂ and C=O groups in organics cause catalyst poisoning in electrolytic synthesis, impacting electrode durability. 🔗 doi.org/10.1080/14686996.202… #Catalysis
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#STAMMethods A novel multi-phase-field model with passive external domain enables consistent simulation of complex multiphase material processes. 🔗 doi.org/10.1080/27660400.202… #PhaseField
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#STAMMethods Deep learning rapidly predicts ceramic strength scatter and defect distributions, enabling faster, more reliable materials design. 🔗 doi.org/10.1080/27660400.202… #Ceramics
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#STAM Newly designed SrLi₃AlO₄:Eu²⁺ phosphor shows narrow-band yellow-green emission, promising for next-gen LCD backlights. 🔗 doi.org/10.1080/14686996.202… #Phosphors
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#STAMMethods CrystalPlasticitySim uses AI agents to automate crystal plasticity simulations, reducing months of work to hours. 🔗 doi.org/10.1080/27660400.202… #AIinScience
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#STAM Nanosecond laser irradiation on Si wafers produces tunable, non-fading structural colors—ideal for secure marking and process control. 🔗 doi.org/10.1080/14686996.202… #StructuralColor
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#STAMMethods "pinax" streamlines data workflows and provenance for materials science, enabling reproducibility and efficient knowledge sharing. 🔗 doi.org/10.1080/27660400.202… #MaterialsInformatics #EditorsChoice
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