On Boundary Value Problems for Systems of Ordinary, Nonlinear, Second Order Differential Equations [PDF]
Philip Hartman
openalex +1 more source
Research on horizontal nonlinear sub-harmonic vibration characteristics and stability control of rolling mill roll system. [PDF]
Jiang L, Yang T, Shi W, Xie J.
europepmc +1 more source
Photonic Nanomaterials for Wearable Health Solutions
This review discusses the fundamentals and applications of photonic nanomaterials in wearable health technologies. It covers light‐matter interactions, synthesis, and functionalization strategies, device assembly, and sensing capabilities. Applications include skin patches and contact lenses for diagnostics and therapy. Future perspectives emphasize AI‐
Taewoong Park+3 more
wiley +1 more source
Investigation of soliton solutions to the (2 + 1)-dimensional stochastic chiral nonlinear Schrödinger equation with bifurcation, sensitivity and chaotic analysis. [PDF]
Alqhtani M+5 more
europepmc +1 more source
Challenges and Opportunities of Upconversion Nanoparticles for Emerging NIR Optoelectronic Devices
The special photo‐responsiveness of upconversion nanoparticles has opened up a new path for the advancement of near‐infrared (NIR)‐responsive optoelectronics. However, challenges such as low energy‐conversion efficiency and high nonradiative losses still persist.
Sunyingyue Geng+7 more
wiley +1 more source
Study of nonlinear optical absorption and optical sideband generation in a hybrid plasmonic nanoparticle-quantum dot-DNA system in the presence of two optical fields. [PDF]
Abbasi Moghaddam M, Daneshfar N.
europepmc +1 more source
This work presents a wafer‐scale fabrication method for high‐performance p‐type organic permeable base transistors (OPBTs) using electrochemical anodization. The anodized OPBTs achieve high on‐current density, low leakage, MHz‐range operation, and exceptional current gain.
Juan Wang+8 more
wiley +1 more source
Performance optimization of nonlinear EH technology in green cognitive WPCN. [PDF]
Chen H, Yuan L, Wang L, Gong J.
europepmc +1 more source
Characterization and Inverse Design of Stochastic Mechanical Metamaterials Using Neural Operators
This study presents a DeepONet‐based machine learning framework for designing stochastic mechanical metamaterials with tailored nonlinear mechanical properties. By leveraging sparse but high‐quality experimental data from in situ micro‐mechanical tests, high predictive accuracy and enable efficient inverse design are achieved.
Hanxun Jin+7 more
wiley +1 more source