Results 41 to 50 of about 370 (245)
To enhance through‐thickness conductivity without sacrificing impregnation, large spherical graphite particles are intentionally employed in a low‐viscosity resin. Unlike finer conductive fillers, these particles remain outside the fiber bundles and accumulate in resin‐rich interlaminar regions during molding.
Keito Hosoe +6 more
wiley +1 more source
General monotonicity, interpolation of operators, and applications
We continue the work of S. Tikhonov, E. Liflyand, B. Booton, and others, proving the equivalence of L(p,q)-norms of general monotone functions and of their Fourier transforms. The main tool in this work is the interpolation properties of cones of general monotone functions in L(p,q)-norms.
Grigoriev, S. M. +2 more
openaire +2 more sources
Elastic–Plastic Modeling and Experimental Characterization of Granular Jamming Actuators
Granular jamming enables rapid switching between soft and rigid mechanical states. Here, a reduced‐order elastic‐perfectly‐plastic beam framework captures pressure‐dependent loading, unloading, residual deformation, and hysteresis in jammed beams, while matching three‐point bending experiments across materials and geometries. The framework links design
Saheli Patel +2 more
wiley +1 more source
The present thesis is devoted to the homogenization of certain elliptic and parabolic partial differential equations by means of appropriate generalizations of the notion of two-scale convergence. Since homogenization is defined in terms of H-convergence,
Holmbom, Anders, +5 more
core +3 more sources
Logical metatheorems for accretive and (generalized) monotone set-valued operators
Accretive and monotone operator theory are central branches of nonlinear functional analysis and constitute the abstract study of certain set-valued mappings between function spaces. This paper deals with the computational properties of these accretive and (generalized) monotone set-valued operators.
openaire +3 more sources
More than 10 000 metal‐coated silicon MEMS cantilevers are fabricated and characterized to build a large‐scale experimental dataset spanning multiple vibrational modes. Machine learning algorithms are benchmarked to predict resonance frequency and quality factor, with ensemble based models achieving accuracy approaching experimental uncertainty.
Sina Zare Pakzad +8 more
wiley +1 more source
Abstract theory of variational inequalities with Lagrange multipliers and application to nonlinear PDEs [PDF]
summary:Recently, we established some generalizations of the theory of Lagrange multipliers arising from nonlinear programming in Banach spaces, which enable us to treat not only elliptic problems but also parabolic problems in the same generalized ...
Kenmochi, Nobuyuki, Fukao, Takeshi
core +1 more source
A soft, dual‐channel hydrogel patch enables simultaneous detection of wound temperature and strain by integrating ion‐diffusion‐mediated thermoelectric and resistive sensing. The conformal design maintains stable performance during motion, capturing subtle inflammatory and mechanical changes for continuous wound monitoring.
Yu Fang +7 more
wiley +1 more source
Multimode Oxide‐Based Optoelectronic Memtransistor for In‐Sensor Vision Processing
A multimode optoelectronic memtransistor (OEMT) is demonstrated for vision explainable artificial intelligence (VXAI) hardware. By integrating optical sensing, electrical masking, and non‐volatile memory, the device enables key operations required for generating saliency information.
Min Gu Lee +10 more
wiley +1 more source
Carleman type inequalities and Hardy type inequalities for monotone functions
This Ph.D. thesis deals with various generalizations of the inequalities by Carleman, Hardy and Polya-Knopp. In Chapter 1 we give an introduction and overview of the area that serves as a frame for the rest of the thesis.
Johansson, Maria, Maria Johansson
core +2 more sources

