Results 61 to 70 of about 29,887 (261)

Molecular Rotors: From Newtonian Fluids to Functional Materials as Viscosity and Temperature Sensing Tools

Advanced Functional Materials, EarlyView.
Molecular rotors are fluorescent molecules that are sensitive to viscosity and temperature variations in the environment. They exhibit a direct correlation between fluorescence and viscosity within Newtonian fluids. However, this correlation becomes less straightforward in complex systems.
Flavia Di Scala, Alice Briole, Valerii Myndrul, Thomas J. Cleij, Hanne Diliën, Bérengère Abou, Bart van Grinsven   +6 more
wiley   +1 more source

Cellular Responses to Mechanical Cues Across Scales: From Fundamental Insights to Translational Potential

Advanced Healthcare Materials, EarlyView.
This review examines how cellular behavior is regulated by mechanical cues transmitted through soft biomaterials, from single‐cell mechanosensing to tissue‐level adaptation. It highlights why physiological relevance, rather than model complexity alone, is critical for translational mechanobiology and introduces a scoring framework linking material ...
Mathias Polz, Manuel P. Kainz, Niklas Haider, Theresa Rienmüller, Kerstin Lenk, Rupert Kargl, Michele Terzano, Gerhard Sommer, Gerhard A. Holzapfel, Julia Fuchs   +9 more
wiley   +1 more source

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source

Counterintuitive Fluorescence Blue Shift in Symmetry Breaking Dicationic Bis(indolium) with Two‐Photon Absorption Properties for NIR Living Cell Imaging

Advanced Materials, EarlyView.
Highly water‐soluble dicationic bis(indolium) dyes have been prepared, showing excellent two‐photon absorption and light emission. Their fluorescence behavior discloses an unusual increasing blue shift with increasing solvent polarity, which, in parallel, is beneficial for enhanced detection in biological media.
Carlos Benitez‐Martin, Jose M. Marin‐Beloqui, Juan T. López Navarrete, Juan Casado, Francisco Najera, Ezequiel Perez‐Inestrosa   +5 more
wiley   +1 more source

Topology and Material Optimization in Ultra‐Soft Magneto‐Active Structures: Making Advantage of Residual Anisotropies

Advanced Materials, EarlyView.
Residual magnetization induces pronounced mechanical anisotropy in ultra‐soft magnetorheological elastomers, shaping deformation and actuation even without external magnetic fields. This study introduces a computational‐experimental framework integrating magneto‐mechanical coupling into topology optimization for designing soft magnetic actuators with ...
Carlos Perez‐Garcia, Rogelio Ortigosa, Jesús Martínez‐Frutos, Daniel Garcia‐Gonzalez   +3 more
wiley   +1 more source

An efficient semi-analytical approach for solving nonlinear mathematical physics problems

Discover Applied Sciences
This work explores an efficient semi-analytical method called the natural decomposition method (NDM) for finding the solution of nonlinear mathematical physics problems under proper initial conditions.
Azimachew Debebe Mulat, Alemayehu Tamirie Deresse   +1 more
doaj   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Prospects for using cloud technologies in school physics experiments

CTE Workshop Proceedings, 2013
In some teaching physics experiments (e.g., fast-flow, slow-flow), there are characteristic problems associated with trying to capture a number of quantities. One way to solve these problems is the use of computer technology.
O. V. Merzlykin
doaj   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Inverse Problems for Parabolic Differential Equations from Control Theory

Bruno Pini Mathematical Analysis Seminar, 2015
We are concerned with some inverse problems related to parabolic first-order and second order linear differential equations in Hilbert spaces. All the results apply well to inverse problems for partial differential equations from mathematical physics and
Mohammed Al Horani, Angelo Favini
doaj   +1 more source