Results 181 to 190 of about 182,605 (266)

Morphology‐Driven Electromechanical Performance of Graphene‐Based Electrofluids for Emerging Soft Electronic Systems

Advanced Materials Technologies, EarlyView.
Here, two types of electronic components are presented: a strain sensor and a stable resistor. Electrofluids properties are tuned to match these behaviors by selecting the type of filler. We show that the morphology of the filler together with its oxygen content are the key parameters to create electrical and mechanical networks with distinct responses.
Dominik S. Schmidt, Paolo Fortugno, Claudia‐F. López‐Cámara, Hartmut Wiggers, Lola González‐García   +4 more
wiley   +1 more source

Systems modeling of a phenazine-producing Escherichia coli bio-battery anolyte. [PDF]

PLoS One
King SM, King MR.
europepmc   +1 more source

Shaping Carbon Nitrides for Advanced Macrostructures

Advanced Materials Technologies, EarlyView.
This review examines how carbon nitride can be shaped through a range of printing and interfacial assembly methods. By bringing together additive manufacturing and liquid–liquid structuring concepts, carbon nitride is moving beyond its traditional powder‐based photocatalyst form toward digitally designed robust macroscale architectures with high design
Simona Baluchová, Baris Kumru
wiley   +1 more source

The longitudinal structure of cognition in the ABCD study and associations with neural function and psychopathology: A Bayesian probabilistic principal components analysis. [PDF]

Dev Cogn Neurosci
Luciana M, Duffy KA, Thompson WK.
europepmc   +1 more source

Three‐Dimensional Printed Microarchitected Hierarchically Porous Biodegradable PLA/S/CNT Nanocomposite Electrodes for High‐Performance Lithium–Sulfur Batteries

Advanced Materials Technologies, EarlyView.
Hierarchically microarchitected PLA/S/CNT cathodes are fabricated via scalable fused filament 3D printing as high‐sulfur‐loading hosts for rechargeable lithium–sulfur batteries. The assembled Li–S cells with sulfur loadings up to 17 mg cm−2 deliver an areal capacity of 9.2 mAh cm−2 and retain 96% of their discharge capacity after 100 charge–discharge ...
Vinay Gupta, Pawan Verma, Fahad Alam, Krishnaiahnahundi Manjunathaswamy Mohan, Shanumgam Kumar   +4 more
wiley   +1 more source

Data-Driven Health Prognostics of NMC Lithium-Ion Batteries via Impedance Spectroscopy Using a Hybrid CNN-BiLSTM Model. [PDF]

Sensors (Basel)
Liu Z, Fu K, Liao J, Stimming U, Guo D, Zhang Y.   +5 more
europepmc   +1 more source

Multiscale Microscopy via Automation: Dual Magnification Environmental Scanning Electron Microscopy Imaging by Frame Alternation

Advanced Materials Technologies, EarlyView.
An automation interface for environmental scanning electron microscopy (ESEM) enables simultaneous, interlaced data sets via frame‐by‐frame parameter changes. Demonstrated on oscillatory hydrogen oxidation over cobalt (Co) foil, dual‐magnification imaging bridges mesoscopic to microscopic length scales, capturing alternating views of surface dynamics ...
Maurits Vuijk, Johannes Zeininger, Luis Sandoval‐Diaz, Günther Rupprechter, Beatriz Roldan Cuenya, Karsten Reuter, Thomas Lunkenbein, Christoph Scheurer   +7 more
wiley   +1 more source

Genetic algorithm-based daily power output forecasting for energy storage power stations. [PDF]

PLoS One
Xi L, Zhong J, Yu S, Liao C, You J.
europepmc   +1 more source

Graphene‐Interfaced Stretchable Sweat Patch for Multiplexed Electrochemical Monitoring of IL‐6, Glucose, and Calcium Ions

Advanced Materials Technologies, EarlyView.
Flexible sweat sensor patch integrating graphene‑interfaced gold microelectrodes functionalized with bio‑receptors and ion‑selective membrane, coupled with a capillary‑driven microfluidic layer and portable potentiostat electronics for multiplexed monitoring of inflammatory, metabolic, and electrolyte biomarkers in microliter sweat volumes.
Roomia Memon, Ali Tufani, Süleyman Çelik, Javed H. Niazi, Anjum Qureshi   +4 more
wiley   +1 more source

Low-Temperature Prediction in Commercial Lithium-Ion Batteries during Dynamic Usage via Enhanced Physics-Informed Neural Networks. [PDF]

ACS Omega
Pereira EL, Soares DM.
europepmc   +1 more source