Results 151 to 160 of about 14,864 (294)
Interaction Hierarchy and Polymorphic Structure–Property Dynamics in Luminescent Molecular Crystals
Competing homotypic and heterotypic intermolecular interactions give rise to polymorphic structure–property dynamics in luminescent molecular crystals. Thermal and mechanical stimuli induce distinct phase‐transition pathways accompanied by pronounced photoluminescence changes.
Mahiro Nakabayashi, Shotaro Hayashi
wiley +2 more sources
A combination of discrete and finite element method models for the current collector deformation and electrochemical performance analysis, respectively. The models are calibrated and validated with electrochemical and imaging data of hard carbon electrodes. These electrodes were manufactured with different parameters (slurry solid contents of 35 and 40
Soorya Saravanan +12 more
wiley +1 more source
Processing‐Centric Innovative Strategies for Protonic Ceramic Electrochemical Cells
This review reveals how processing‐centric fabrication strategies govern architecture, microstructure, and interfaces in protonic ceramic electrochemical cells (PCECs), establishing a framework that translates materials innovation into scalable PCEC technologies.
Dongyeon Kim +5 more
wiley +1 more source
The effect of surface texture on the kinetic friction of a nanowire on a substrate. [PDF]
Xie H, Mead J, Wang S, Huang H.
europepmc +1 more source
A new drag and lift correlation for spherocylinders from fully resolved Immersed Boundary Method
Abstract Many industrial processes deal with non‐spherical particles, e.g., mineral mining and biomass conversion. It is crucial to understand the particles' hydrodynamics to control and optimize these processes. To extend the current state‐of‐the‐art from arrays of spherical particles to spherocylindrical particles, we performed extensive particle ...
A. H. Huijgen +4 more
wiley +1 more source
Several simulation techniques are used to explore static and dynamic behavior in polyanion sodium cathode materials. The study reveals that universal machine learning interatomic potentials (MLIPs) struggle with system‐specific chemistry, emphasizing the need for tailored datasets.
Martin Hoffmann Petersen +5 more
wiley +1 more source
Transition from Static to Kinetic Friction: Insights from a 2D Model
We describe a 2D spring-block model for the transition from static to kinetic friction at an elastic-slider–rigid-substrate interface obeying a minimalistic friction law (Amontons-Coulomb).
A. Malthe-Sørenssen +9 more
core +1 more source
Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley +1 more source
A physics‐guided deep learning framework, ParamNet, is introduced for the intelligent self‐inversion of vacuum optical tweezers. By fuzing dual‐branch time–frequency features with physical dynamical constraints, it achieves high‐accuracy calibration of trap parameters from short‐window, low‐frequency trajectories, outperforming traditional methods ...
Qi Zheng +4 more
wiley +1 more source
Electrostatic Actuation Induces Competing Adhesion and Vibration Regimes at Fingertip Contact
Electric fields modulate fingertip–surface contact to create artificial touch sensations. The mechanisms underlying electrostatic friction, however, remain unclear. Direct imaging and friction measurements under oscillating electric fields showed that adhesion dominates at high frequencies, while vibration contributes substantially at the lower ...
Celal Umut Kenanoglu +2 more
wiley +1 more source

