Results 201 to 210 of about 555,829 (322)

Multi‐Level Hybrid Anti‐Counterfeit Labels via Solid‐State Dewetting Under Spatial Confinement

Advanced Materials Technologies, EarlyView.
This study presents a hybrid encoding approach combining deterministic patterns fabricated by photolithography and stochastic features formed by the solid‐state dewetting of silver films under strong confinement at the micrometer and nanometer length scales.
Farnaz Foadi, Ilker Torun, Menekse Sakir, Mustafa Kalay, Jongpil Ye, Mustafa Serdar Onses   +5 more
wiley   +1 more source

Optical Activity Modulation in Chiral Metasurfaces via Structured Light. [PDF]

Nano Lett
Lalaguna PL, Hashiyada S, Gadegaard N, Götte JB, Barnett SM, Forbes KA, Tanaka YY, Kadodwala M.   +7 more
europepmc   +1 more source

When Cellulose Moves: Smart Sensors and Actuators

Advanced Materials Technologies, EarlyView.
This review highlights cellulose‐derived soft actuators alongside with cellulose‐based sensors. Emphasis is placed on their integration into multifunctional devices that couple sensing and actuation to mimic natural motion and adaptability. We also discuss the challenges of achieving robust, reversible, and multi‐stimuli‐responsive motion, and outline ...
Francisco Sousa, José F. Malta, Ana P. C. Almeida   +2 more
wiley   +1 more source

Fate of Pyrrolizidine Alkaloids in Soil: Insights from <i>Myosotis arvensis</i> L. and <i>Senecio vulgaris</i> L. [PDF]

Toxins (Basel)
Nakurte I, Skudriņš G, Mežaka I.
europepmc   +1 more source

A Modular Microfluidic System to Generate Gradient Hydrogels with Simple‐to‐Complex Stiffness Profiles for Mechanobiology

Advanced Materials Technologies, EarlyView.
This work introduces a universal approach for fabricating stiffness gradient hydrogels with diverse stiffness ranges and gradient profiles. Gradient formation is achieved by precisely controlling the thermal landscape within a microfluidic system, which drives thermophoretic redistribution of precursor components in solution.
Shin Wei Chong, Jameel Sardharwalla, Gweneth Sofia P. Masonsong, Joshua Cosgrove, Anthony Katselas, Isaac J. Gresham, Marcela M. M. Bilek, Yi Shen, Chiara Neto, Daniele Vigolo   +9 more
wiley   +1 more source

Evidence for Dark Energy Driven by Star Formation: Information Dark Energy? [PDF]

Entropy (Basel)
Gough MP.
europepmc   +1 more source

Liquid Metal‐Exfoliated SnO2‐Based Mixed‐Dimensional Heterostructures for Visible‐to‐Near‐Infrared Photodetection

Advanced Optical Materials, EarlyView.
Two dimensional (2D) atomically thin materials hold significant promise for next‐generation photodetectors but are limited by low light absorption and scalability challenges. This study presents a high‐performance photodetector integrating liquid metal‐derived 2D SnO2 with CdTe, enabling efficient visible to near‐infrared detection and offering a ...
Shimul Kanti Nath, Nitu Syed, Wenwu Pan, Yang Yu, Dawei Liu, Michael P. Nielsen, Jodie Yuwono, Priyank V. Kumar, Yan Zhu, David L. Cortie, Chung K. Nguyen, Lan Fu, Ann Roberts, Lorenzo Faraone, Nicholas J. Ekins‐Daukes, Wen Lei   +15 more
wiley   +1 more source

A multi-year, seasonally resolved dataset of Seaglider observations at Station ALOHA in the North Pacific Subtropical Gyre. [PDF]

Sci Data
Garcia CA, Barone B, Ferrón S, Poulos S, Karl DM.   +4 more
europepmc   +1 more source

High‐Endurance and Energy‐Efficient All‐Optical Programming of Scalable Silicon Waveguides with Integrated Phase‐Change Material Patches

Advanced Optical Materials, EarlyView.
Phase change materials are integrated into silicon photonic circuits via 200 mm industrial wafer processes. Interferometric optical characterization reveals switching thresholds, transmission modulation, phase shifts, and record endurance (>108 cycles).
Rajath Sawant, Anthony Albanese, Arnaud Rogemont, Gregorio Gonzalez‐Cortes, Yoann Brûlé, Lara Karam, Jean‐Baptiste Jager, Stephane Malhouitre, Benoit Charbonnier, Aurélien Coillet, Pierre Noé, Benoit Cluzel   +11 more
wiley   +1 more source

Prediction of aflatoxin contamination outbreaks in Texas corn using mechanistic and machine learning models. [PDF]

Front Microbiol
Castano-Duque L, Avila A, Mack BM, Winzeler HE, Blackstock JM, Lebar MD, Moore GG, Owens PR, Mehl HL, Su J, Lindsay J, Rajasekaran K.   +11 more
europepmc   +1 more source