Results 111 to 120 of about 23,034 (257)
ABSTRACT The accelerating expansion of data‐centric technologies is sharply increasing the energy burden of information storage, placing unprecedented pressure on the efficiency of magnetic switching. Conventional field‐driven reversal, once the foundation of magnetic memory, has become impractical in modern architectures due to its high energy cost ...
Mohammad H. Badarneh +2 more
wiley +1 more source
Physics-agnostic inverse design using transfer matrices
Inverse design is an application of machine learning to device design, giving the computer maximal latitude in generating novel structures, learning from their performance, and optimizing them to suit the designer’s needs.
Nathaniel Morrison +2 more
doaj +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
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 +3 more
wiley +1 more source
Abstract The inverse conductivity problem aims at determining the unknown conductivity inside a bounded domain from boundary measurements. In practical applications, algorithms based on minimizing a regularized residual functional subject to PDE constraints have been widely used to deal with this problem. However,
Lefu Cai +3 more
openaire +2 more sources
Rethinking Charge Transport and Recombination in Donor‐Diluted Organic Solar Cells
Organic solar cells with 1–45% PM6 content in Y12 were studied to link structure and charge dynamics to performance. The conductivity follows a 3D percolation model without a sharp threshold. Donor dilution preserves the photogeneration yield, but limits the fill factor due to transport resistance losses.
Chen Wang +14 more
wiley +1 more source
Emergent Spin Supersolids in Frustrated Quantum Materials
This review highlights developments in the study of spin super‐solids in frustrated quantum materials. Advanced experimental characterizations and computational studies enable a comprehensive understanding of the driving mechanisms of spin super‐solidity in various layered transition‐metal compounds, bridging materials, experiments, and theory aspects.
Yixuan Huang +2 more
wiley +1 more source
Wave Generation by a Finite Baffle Array in Application to Beam-Forming Analysis
Directional excitation of sound in an aperiodic finite baffle system is analyzed using a method developed earlier in electrostatics. The solution to the corresponding boundary value problem is obtained in the spatial-frequency domain.
Yuriy TASINKEVYCH
doaj
Can Elastomers Combine Stiffness, Toughness and Fatigue Resistance?
This review studies how the molecular and macroscopic architecture of elastomers influence their mechanical properties including: stiffness, stretchability, toughness, fatigue resistance, and damping behavior. By linking the structure to performance, it proposes design principles for advanced elastomeric systems that combine mechanical properties ...
Eva Baur, Esther Amstad
wiley +1 more source
TESCLA (tubular electromagnetic soft conformal linear actuator) combines liquid‐metal solenoids and compliant magnetic composites to achieve large‐stroke bidirectional actuation with continuous bending. Integrated inductance‐based self‐sensing enables proprioceptive position estimation without external sensors, providing a versatile platform for soft ...
Yeongjin Choi +3 more
wiley +1 more source
Membrane‐bound multimodal transducers enable longitudinal ultrasound‐guided photoacoustic monitoring and in situ thermal control of CAR T cells in heterogeneous solid tumors. Imaging correlates T cell trafficking with tumor response, distinguishing responders from nonresponders.
Myeongsoo Kim +14 more
wiley +1 more source

