Results 241 to 250 of about 2,775,205 (311)

Intelligent computing and sensitivity analysis of unsteady darcy-forchheimer nanofluid flow over an inclined permeable disk subject to thompson-troian slip conditions. [PDF]

Discov Nano
Aldhafeeri AA, Raizah Z, Yasmin H, Algehyne EA.   +3 more
europepmc   +1 more source

AI‐Assisted Ultrasensitive Biosensing using Metal‐Electrolyte‐Metal‐Insulator‐Silicon Structure Based on Oxygen‐Tunable Iridium Oxide Nanonets for Lysyl‐Oxidase‐Like‐2 Breast Cancer Detection

Advanced Electronic Materials, EarlyView.
An oxygen‐controlled iridium‐oxide (IrOx) nano‐net structure is developed to enhance the sensitivity of metal‐electrolyte‐metal‐insulator‐silicon (MEMIS) biosensors. Integrated with a deep learning model, this platform achieves a high accuracy of 94.8% for detecting the breast cancer biomarker LOXL2.
Chiao‐Fan Chiu, Pankaj Kumar, Long Nguyen Minh Le, Ping‐Hsuan Wu, Punnatorn Boonyoung, Shen Tingyang, Abhijit Aich, Yi‐Pin Chen, Shih‐Yin Huang, Siddheswar Maikap   +9 more
wiley   +1 more source

Electrochemical and Thermal Interplay in Blended Cathodes for All Solid‐State Batteries

Advanced Energy Materials, EarlyView.
This work analyzes blended LFP‐NMC cathodes for all solid state batteries, revealing their balanced rate performance and enhanced thermal properties. Operando X‐ray diffraction studies uncovered lithiation gradients and asymmetric charging effects due to kinetic limitations.
Simon Si Ming Ji, Zhuo Li, Abhinand Ayyaswamy, Sascha Kremer, Shintaro Inaba, Ana G. Claus, Dayoung Jun, Se Hwan Park, Moonseong Kim, Bairav S. Vishnugopi, Hui Zhong, Sanjit Ghose, Michael Drakopoulos, Nghia T. Vo, Zhong Zhong, Jürgen Janek, Partha P. Mukherjee, Kelsey B. Hatzell   +17 more
wiley   +1 more source

The global inverse fractional conductivity problem. [PDF]

Calc Var Partial Differ Equ
Covi G, Railo J, Zimmermann P.
europepmc   +1 more source

From Top to Bottom: Manufacturing Process‐Context Aware Resolution of Energy Device Electrodes Through a 3D Diffusion Generative Model

Advanced Energy Materials, EarlyView.
The application of a generative diffusion model, enhanced with a training data augmentation pipeline retaining the manufacturing process context of electrode microstructures, leads to improved fidelity of the through‐plane tortuosity factor in the AI generated samples.
Victor Ramirez‐Camacho, Siwar Ben Hadj Ali, Maxence Desnoyers, Francisco Fernandez, Nassima Benammar, Alejandro A. Franco   +5 more
wiley   +1 more source

Structural identifiability in crystalline molecular networks using strong metric dimension. [PDF]

Sci Rep
Imran M, Salman M, Tahoor T, Ali F, Hasni R.   +4 more
europepmc   +1 more source

Decoupling Quasi‐Solid‐State Sulfur Conversion Mechanisms in Weakly Solvating and Locally High Concentration Electrolytes

Advanced Energy Materials, EarlyView.
Weakly solvating CME–TTE and localized high‐concentration G2–TTE electrolytes redirect lithium–sulfur chemistry toward quasi‐solid‐state conversion through distinct coordination environments. Molecular dynamics and multimodal electrochemical and spectroscopic measurements show that G2–TTE couples multidentate solvent coordination, anion participation ...
Boyi Pang, Huanxin Li, Liam Bird, Yiming Guo, Bochen Li, Xiaoxia Guo, Roby Soni, Yi Zeng, Paul R. Shearing, Thomas S. Miller, Rhodri Jervis, Alexander J. Kibler, James B. Robinson   +12 more
wiley   +1 more source

Entropy and topological indices of nanostar dendrimers: a graph-theoretic approach. [PDF]

Front Chem
Nawaz A, Bokhary SAUH, Imran M.
europepmc   +1 more source

Operando Electro‐Rheology: Unraveling Decoupled Ion Transport‐Mechanical‐Morphological Properties in Nanostructured Block Copolymer Electrolytes

Advanced Energy Materials, EarlyView.
A novel operando methodology, which combines simultaneous rheological and electrochemical measurements under dc polarization in a LiTFSI‐doped polystyrene‐block‐poly(ethylene oxide) block copolymer electrolyte, is developed. Time‐resolved monitoring of the viscoelastic and electrochemical responses to galvanostatic stimulus enables to elucidate the ...
Martino Airoldi, Mercedes Fernandez, Irune Villaluenga   +2 more
wiley   +1 more source

pyDMS: A Python package for the determination of physics‐informed dual‐mode sorption (DMS) parameters

AIChE Journal, EarlyView.
Abstract Sorption in glassy polymer membranes is commonly modeled with the dual‐mode sorption (DMS) model. Fitting the DMS model to sorption isotherms presents challenges, as multiple parameter sets may prove satisfactory. This work presents pyDMS, an open‐source Python package for the computation of DMS parameters obtained via a physics‐informed ...
Brandon C. Tapia, Pablo A. Dean, Jing Ying Yeo, Albert X. Wu, Zachary P. Smith   +4 more
wiley   +1 more source