Hindered cracking in colloidal suspension coatings via evaporation‐driven lyotropic liquid crystals
Abstract We demonstrate that lyotropic liquid crystalline (LC) phases, formed by the molecular interactions between 1‐glyceryl monooleyl ether (GME) and water, offer new pathways for producing crack‐free particulate films from colloidal suspensions. Drying experiments on titanium dioxide‐ethanol‐water‐GME suspension systems revealed a 15‐fold increase ...
Masato Yamamura
wiley +1 more source
Deep BiLSTM Attention Model for Spatial and Temporal Anomaly Detection in Video Surveillance. [PDF]
Natha S+5 more
europepmc +1 more source
Dynamic site‐interconversion reduces the induction period of methanol‐to‐olefin conversion
Abstract Reaction–diffusion coupling across the catalyst pore, grain, pellet, and reactor bed has been studied using a particle‐resolved transient microkinetic model applied to temperature‐programmed desorption and step‐response studies of methanol and dimethyl ether conversion over ZSM‐5 catalysts, respectively.
Toyin Omojola
wiley +1 more source
The Linburg-Comstock Anomaly: A Study on Prevalence and Effect on Various Strength Metrics. [PDF]
Chuang DP+5 more
europepmc +1 more source
NuTeV anomaly, lepton universality, and nonuniversal neutrino-gauge couplings
Will Loinaz+4 more
openalex +2 more sources
Deep Learning Methods in Soft Robotics: Architectures and Applications
Soft robotics has seen intense research over the past two decades and offers a promising approach for future robotic applications. However, standard industrial methods may be challenging to apply to soft robots. Recent advances in deep learning provide powerful tools to analyze and design complex soft machines that can operate in unstructured ...
Tomáš Čakurda+3 more
wiley +1 more source
Spin-Peierls instability of the U(1) Dirac spin liquid. [PDF]
Seifert UFP+4 more
europepmc +1 more source
Machine Learning‐Assisted Simulations and Predictions for Battery Interfaces
This review summarizes machine learning (ML)‐assisted simulations and predictions at battery interfaces. It highlights how employing ML algorithms with machine vision, enables the lithium dendrite growth simulation, the solid–electrolyte interphase formation, and other interfacial dynamics.
Zhaojun Sun+4 more
wiley +1 more source
Vitrectomy Combined With Gas Tamponade for the Treatment of Morning Glory Syndrome With Rhegmatogenous Retinal Detachment: A Case Report. [PDF]
Xin WJ, Niu TT.
europepmc +1 more source
Knowledge Distillation‐Based Zero‐Shot Learning for Process Fault Diagnosis
Process and image data are equivalent with the teacher model pretrained on image data. Knowledge distillation transfers normal condition data to the student model. When an unknown fault occurs, differences between the teacher and student models are quantified via gradients to isolate the fault. Data‐driven deep learning is effective in diagnosing known
Yi Liu, Jiajun Huang, Mingwei Jia
wiley +1 more source