STAM & STAM Methods

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Tsukuba-shi, Ibaraki
STAM & STAM Methods

This is the page for the STAM journals: STAM and STAM Methods. We aim to update you with news and research papers related to materials science.

STAM is a leading open access, international journal for outstanding research articles across all aspects of materials science. The journal covers a broad range of topics including functional materials, synthesis, theoretical research, and material properties.

08/09/2026

This study presents a pH-responsive, brain-targeted lipid nanoparticle (CD-TLNP@RGFP966) enabling efficient BBB transcytosis and lesion-triggered drug release for ischemic stroke. The nanocarrier promotes microglial M2 polarization and improves neuroinflammation and function, offering a novel anti-inflammatory treatment strategy.
🔗 https://doi.org/10.1080/14686996.2026.2699624

04/09/2026

This review highlights recent progress in signal processing and resistive switching mechanisms of niobium oxides. Innovations in neural spike firing, phase locking, and quantized encoding pave the way for biologically plausible artificial neural networks with improved computational efficiency. 🔗 https://doi.org/10.1080/14686996.2026.2713993

03/09/2026

This paper presents hybrid electrodes for supercapacitors using honey-mediated CoFe₂O₄ nanoparticles combined with porous g-C₃N₄. The nanocomposite achieves high specific capacitance, exceptional cyclic stability, and impressive energy/power densities, offering eco-friendly solutions for next-generation energy storage.
🔗 https://doi.org/10.1080/14686996.2026.2700203

02/09/2026

This study introduces enzyme-responsive Tat-PEG-lipid conjugates for precise control of suspension cell adhesion and detachment. Using hierarchical PEG-lipid modifications, robust and efficient cell attachment and release are achieved, providing a minimally invasive platform for gene delivery, cell processing, and regenerative medicine.
🔗 https://doi.org/10.1080/14686996.2026.2713991

01/09/2026

This paper introduces an AI-assisted Python code for automatic extraction of carbon nanotube chirality from TEM images, achieving over 90% accuracy for diameters from 0.5 to 3.0 nm. The open-source tools enable high-efficiency, quantitative identification of CNT chiralities, advancing research and applications.
🔗 https://doi.org/10.1080/14686996.2026.2705816

31/08/2026

This study reports amphiphilic polymer conetworks (APCNs) with record domain sizes of 67 nm in water, nearly double previous values. Developed via RAFT polymerization, these star block copolymers exhibit long-range order in bulk and aqueous environments, promising applications in biomedical and technology sectors.
🔗 https://doi.org/10.1080/14686996.2026.2658326

28/08/2026

This study presents an interpretable data-driven framework for discovering multielement metal oxide OER electrocatalysts. Using a small hybrid dataset, the approach enables extrapolative materials design and identified a quinary oxide (V, Ni, W, Rh, Ru) with exchange current density 20 times higher than IrO₂.
🔗 https://doi.org/10.1080/14686996.2026.2713992

27/08/2026

This review explores solid-state spin defects for quantum sensing, comparing material platforms and optical/photoelectrical readout technologies. It discusses readout fidelity, sensitivity, and scalability, offering guidelines to enhance readout efficiency and advance high-sensitivity quantum sensors and scanning probes for practical applications.
🔗 https://doi.org/10.1080/14686996.2026.2691682

26/08/2026

This work introduces a fully open-source, 3D-printed robotic system for automated pH measurements. Featuring stepper motor control and safety mechanisms, this platform provides accurate, reproducible results with standard buffers. Its modular, low-cost design enables scalable and reliable data generation in materials research.
🔗 https://doi.org/10.1080/27660400.2026.2694963

25/08/2026

This study introduces aqueous choline-phosphate electrolytes as green alternatives for low-temperature energy storage devices. Mixed CDHP + CHP electrolytes offer improved electrochemical stability, high conductivity down to –20 °C, and excellent capacitor performance. Ion diffusion analysis reveals superior sub-zero properties, supporting environmentally friendly energy solutions.
🔗 https://doi.org/10.1080/14686996.2026.2688749

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1-2-1 Sengen
Tsukuba-shi, Ibaraki
305-0047

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