Results 131 to 140 of about 691,972 (277)

Direct Mode‐Resolved Measurement of Interfacial Phonon Transport by Acoustic Phonon Reflectometry

Advanced Materials Interfaces, EarlyView.
We introduce a novel analysis, acoustic phonon reflectometry, that measures the mode‐resolved phonon reflection coefficient at semiconductor interfaces. In aluminum nitride, we observe excellent agreement with the acoustic mismatch model across three distinct interfaces.
Christopher Hennighausen, Gustavo A. Alvarez, Jeffrey Z. Kaaret, Patrick Soucy, Amir F. Amhaz, Jeffrey Moses, Kenneth R. Beyerlein, Nicole A. Benedek, Zhiting Tian, Ankit S. Disa   +9 more
wiley   +1 more source

A multivariate correlated poisson generalized inverse gaussian regression model for dependent count data: Estimation and testing procedures. [PDF]

MethodsX
Hanike Y, Purhadi, Choiruddin A.
europepmc   +1 more source

LFA: A Lattice Fourier Analyzer for Quantitative In Situ EC‐STM of Adsorbate–Substrate Superstructures

Advanced Materials Interfaces, EarlyView.
Although electrochemical scanning tunneling microscopy provides atomic‐scale access to electrified interfaces, quantitative in situ and operando investigations suffer from drift‐induced distortions. This work introduces the Lattice Fourier Analyzer (LFA), which employs substrate‐anchored affine drift correction in reciprocal space to recover precise ...
Rafał Lewandków, Paulina Wira, Anna Futyma, Radosław Wasielewski, Tomasz Kosmala   +4 more
wiley   +1 more source

Design of improved internal mode controller for hydro-turbine governing system based on generalized inverse solver method. [PDF]

Sci Rep
Zhang J, Liu S, Huang X, Tan W, Li D, Wang Z.   +5 more
europepmc   +1 more source

Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization

Advanced Materials Technologies, EarlyView.
An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue, Yuan Gao, Fanping Sui, Jason Wang, Megan Teng, Peggy Tsao, Huicong Deng, Yande Peng, Liwei Lin   +8 more
wiley   +1 more source

Deep-learning enabled generalized inverse design of multi-port radio-frequency and sub-terahertz passives and integrated circuits. [PDF]

Nat Commun
Karahan EA, Liu Z, Gupta A, Shao Z, Zhou J, Khankhoje U, Sengupta K.   +6 more
europepmc   +1 more source

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source

Statistical inference of entropy functions of generalized inverse exponential model under progressive type-II censoring test. [PDF]

PLoS One
Gong Q, Yin B.
europepmc   +1 more source

Characterization and Design Framework for Micro‐ and Nanoscale Printed Metal Interconnects in Hybrid Electronic Systems

Advanced Materials Technologies, EarlyView.
This work establishes a framework for high‐resolution printed interconnects by coupling e‐jet printing control, multilayer deposition, and sintering optimization. Ink properties and printing speed influence particle stacking, while different sintering atmospheres drive distinct microstructural evolution.
Kaifan Yue, Siddharth Kurup, Rebecca Banner, Calib Lanier, Eric Vogel, Michael Filler, Kira Barton   +6 more
wiley   +1 more source

Characterization of Droplet Formation in Ultrasonic Spray Coating: Influence of Ink Formulation Using Phase Doppler Anemometry and Machine Learning

Advanced Materials Technologies, EarlyView.
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding, Danny E. P. Vanpoucke, Yunus T. Aksoy, Tobias Corthouts, Maria R. Vetrano, Wim Deferme   +5 more
wiley   +1 more source