MOSFET mismatch in weak/moderate inversion: model needs and implications for analog design [PDF]
Laurent Vancaillie +4 more
openalex +1 more source
Chirality and Organization of Adsorbates Modify Surface Phonon Dynamics
Chirality and molecular organization are shown to influence surface phonon dynamics in gold films. Time‐resolved Joule heating measurements reveal that ordered homochiral monolayers increase the Debye temperature and disordered layers reduce it, while ordered racemic controls have no effect.
Meital Ozeri +6 more
wiley +1 more source
An Inversion Model for Suspended Sediment Concentration Based on Hue Angle Optical Classification: A Case Study of the Coastal Waters in the Guangdong-Hong Kong-Macao Greater Bay Area. [PDF]
Yang J +5 more
europepmc +1 more source
Cyclic Olefin Copolymers as Versatile Materials for Advanced Engineering Applications
Cyclic olefin copolymers (COCs) are presented as highly versatile materials combining tunable synthesis, excellent optical properties, and mechanical robustness. Their potential spans microfluidics, bioengineering, and advanced electronics, while emerging self‐healing and sustainable solutions highlight future opportunities.
Giulia Fredi +3 more
wiley +1 more source
Research on the chemical oxygen demand spectral inversion model in water based on IPLS-GAN-SVM hybrid algorithm. [PDF]
Lu Q, Zou J, Ye Y, Wang Z.
europepmc +1 more source
Properties of the є-expansion, Lagrange inversion and associahedra and the O (1) model
Ryttov, Thomas A.
openalex +1 more source
Active Learning‐Accelerated Discovery of Fibrous Hydrogels with Tissue‐Mimetic Viscoelasticity
Active learning accelerates the design of fibrous hydrogels that mimic the viscoelasticity of native tissues. By integrating multi‐objective optimization and closed‐loop experimentation, this approach efficiently identifies optimal formulations from thousands of possibilities and decouples elasticity and viscosity. The resulting hydrogels offer tunable
Zhengkun Chen +11 more
wiley +1 more source
Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou +5 more
wiley +1 more source
A heuristic model inversion for coupled thermo-hydro-mechanical modeling of triaxial experiments
Jack Lin +4 more
openalex +1 more source

