Results 141 to 150 of about 64,375 (247)

Loss Behavior in Supervised Learning With Entangled States

open access: yesAdvanced Quantum Technologies, Volume 9, Issue 4, April 2026.
Entanglement in training samples supports quantum supervised learning algorithm in obtaining solutions of low generalization error. Using analytical as well as numerical methods, this work shows that the positive effect of entanglement on model after training has negative consequences for the trainability of the model itself, while showing the ...
Alexander Mandl   +4 more
wiley   +1 more source

Finite Size‐Effects in Martensite Microstructure of Magnetic Shape Memory Films

open access: yesSmall, Volume 22, Issue 19, 1 April 2026.
Magnetic shape memory alloys are a promising multifunctional material system for integration into microsystems. Their multifunctionality arises from the coexistence of ferroelasticity and ferromagnetism. While size‐effects in ferromagnetic microstructure are well understood, corresponding experiments on the ferroelastic microstructure are sparse.
Satyakam Kar   +4 more
wiley   +1 more source

A PLETHORA3/7 transcription factor shapes cucumber shoot architecture

open access: yesNew Phytologist, Volume 250, Issue 1, Page 230-245, April 2026.
Summary PLETHORA transcription factors (PLTs) are master regulators of plant development. Loss of shoot meristematic PLTs leads to reduced phyllotactic regularity and robustness in Arabidopsis and increased inflorescence branching in tomato. Whether these factors have similar functions in other species is not known.
Merijn Kerstens   +6 more
wiley   +1 more source

Breaking Barriers in High‐Order Spectral Methods: The Intrinsic Matrix Approach

open access: yesInternational Journal for Numerical Methods in Engineering, Volume 127, Issue 5, 15 March 2026.
ABSTRACT This paper introduces a unified framework in Hilbert spaces for applying high‐order differential operators in bounded domains using Chebyshev, Legendre, and Fourier spectral methods. By exploiting the banded structure of differentiation matrices and embedding boundary conditions directly into the operator through a scaling law relating ...
Osvaldo Guimarães, José R. C. Piqueira
wiley   +1 more source

Engineering Deformation and Failure in Diamond Triply Periodic Minimal Surface Lattices via 3D Wall‐Thickness Grading

open access: yesAdvanced Engineering Materials, Volume 28, Issue 5, 4 March 2026.
The work demonstrates that strategic wall‐thickness grading in diamond triply periodic minimal surface lattices enables precise tuning of deformation and failure behavior under compression. Different gradation patterns guide how and where the structure collapses, improving energy absorption or promoting controlled brittle failure.
Giovanni Rizza   +3 more
wiley   +1 more source

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