Results 191 to 200 of about 46,082 (278)

Self‐Assembly of Bent‐Core Nematics in Nanopores

open access: yesSmall, EarlyView.
Bent‐core nematic liquid crystals like CB7CB exhibit tunable molecular organization and optical responses when confined in cylindrical nanochannels of anodic aluminum oxide and silica. The study investigates how confinement–from weak to strong–modulates phase behavior, revealing heliconical structures, paranematic states, and birefringence patterns ...
Andriy Z. Maksym   +8 more
wiley   +1 more source

Beyond Euclid: an illustrated guide to modern machine learning with geometric, topological, and algebraic structures. [PDF]

open access: yesMach Learn Sci Technol
Papillon M   +10 more
europepmc   +1 more source

Insights into Graphene Nanostructures, Fabrication Techniques, Mechanical, and Functional Behavior Characterization

open access: yesSmall Science, EarlyView.
This review comprehensively explores the structural configurations, properties, and applications of graphene variants—including monolayer, multilayer, and functionalized forms (graphene oxide, rGO, composites). It discusses fabrication techniques (mechanical exfoliation, chemical vapor deposition, epitaxy) and advanced mechanical characterization ...
Ashfaqul Hoque Khadem   +2 more
wiley   +1 more source

Tunable Self‐Emulsification Via Viscoelastic Control of Marangoni‐Driven Interfacial Instabilities

open access: yesSmall Methods, EarlyView.
A striking interfacial instability–Marangoni bursting–is tamed by introducing trace polymers. Minute amounts of viscoelastic additives delay fragmentation, elongate fingers, and modulate instability wavelengths without altering droplet size. This study reveals how soft matter rheology can program self‐emulsification dynamics, offering new routes for ...
Christoph Haessig   +2 more
wiley   +1 more source

HiLAB: A Hybrid Inverse‐Design Framework

open access: yesSmall Methods, EarlyView.
A hybrid inverse‐design framework (HiLAB) integrates truncated topology optimization, a Vision Transformer–based variational autoencoder, and Bayesian optimization to accelerate the design of complex photonic structures. By jointly optimizing geometry and physical parameters in a compact latent space, HiLAB reduces simulation cost by over tenfold and ...
Reza Marzban   +3 more
wiley   +1 more source

Tensor Decomposition‐Based Model Order Reduction Applied to Multi‐Parameter Electromagnetic Problems in the Context of Digital Twins

open access: yesHigh Voltage, EarlyView.
ABSTRACT Digital twin is considered the key technique for real‐time monitoring and life‐cycle management of electric equipment. To construct the digital twin model of electric equipment, a multi‐parameter electromagnetic analysis is needed to generate a large amount of high fidelity data under various working condition.
Ze Guo, Zuqi Tang, Zhuoxiang Ren
wiley   +1 more source

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