Results 121 to 130 of about 84,800 (213)

Surface Energy Modulated Self‐Assembly of Percolative Gallium Nanodroplet Films for Stretchable Electronics

Advanced Electronic Materials, EarlyView.
Surface‐energy guided self‐assembly of liquid metals enables the transformation of liquid metal micro/nanodroplets into continuous perocolative films on elastomeric substrates. By tailoring interfacial energetics and wetting behavior, uniform, conductive, and stretchable films are achieved, offering scalable pathways for high‐performance soft ...
Alwar Samy Ramasamy, Gayatri Subhalaxmi, Sneha Banerjee, Mark Vailshery, Renu Raman Sahu, Sivakumar K.S, Ajisha Chathyattu, Tapajyoti Das Gupta   +7 more
wiley   +1 more source

Output stream analysis in a queueing model with working vacation mechanism as a power reduction strategy. [PDF]

PLoS One
Kobielnik M, Kempa WM.
europepmc   +1 more source

Efficient In‐Hardware Matrix–Vector Multiplication and Addition Exploiting Bilinearity of Schottky Barrier Transistors Processed on Industrial FDSOI

Advanced Electronic Materials, EarlyView.
ABSTRACT Machine learning and Artificial Intelligence (AI) tasks have stretched traditional hardware to its limits. In‐hardware computation is a novel approach that aims to run complex operations, such as matrix–vector multiplication, directly at the device level for increased efficiency.
Juan P. Martinez, Niladri Bhattacharjee, Yuxuan He, Giulio Galderisi, Brojogopal Sapui, Sara Mannaa, Ian O'Connor, Violetta Sessi, Peter Javorka, Thomas Mikolajick, Jens Trommer   +10 more
wiley   +1 more source

Microbial Primer: Understanding the exponential growth of epidemics. [PDF]

Microbiology (Reading)
King KC, Saad-Roy CM, Coombs D, Ashby B.
europepmc   +1 more source

A Dual‐Branch Flux‐Based Extended Memristor Model With Machine‐Learning‐Assisted Calibration

Advanced Electronic Materials, EarlyView.
Multilayer oxide memristors integrated in crossbar arrays are described through a dual‐branch, flux‐controlled compact model. A three‐stage calibration workflow combining Latin hypercube sampling, Bayesian optimization, and gradient‐based refinement extracts device parameters from experimental data.
Davide Rossetti, K. Nikiruy, A.S. Demirkol, Alon Ascoli, M. Ziegler, R. Tetzlaff, Fernando Corinto   +6 more
wiley   +1 more source

Effects of Doping, Disorder, and Compensation on Electron Conduction in Si‐Doped k‐Ga2O3 Close to the Metal‐to‐Insulator Transition

Advanced Electronic Materials, EarlyView.
Self‐compensation effects attributed to doping‐dependent shift‐defects at APBs Validation of Hall data for VRH transport near the MIT Persistence of VRH transport for any SiH4 flow in Si‐doped κ‐Ga2O3 due to high compensation coupling transport and EPR data as strategy to study electronic properties and doping T‐dependence of transport data agrees with
Antonella Parisini, Hans Jürgen von Bardeleben, Ildicò Cora, Zsolt Fogarassy, Paola Alippi, Vincenzo Fiorentini, Ian Vickridge, Piero Mazzolini, Alessio Bosio, Roberto Fornari   +9 more
wiley   +1 more source

Dictionary Learning Methods for Brain Activity Mapping with MEG Data. [PDF]

Brain Topogr
Calvetti D, Somersalo E.
europepmc   +1 more source

Electrochemical and Thermal Interplay in Blended Cathodes for All Solid‐State Batteries

Advanced Energy Materials, EarlyView.
This work analyzes blended LFP‐NMC cathodes for all solid state batteries, revealing their balanced rate performance and enhanced thermal properties. Operando X‐ray diffraction studies uncovered lithiation gradients and asymmetric charging effects due to kinetic limitations.
Simon Si Ming Ji, Zhuo Li, Abhinand Ayyaswamy, Sascha Kremer, Shintaro Inaba, Ana G. Claus, Dayoung Jun, Se Hwan Park, Moonseong Kim, Bairav S. Vishnugopi, Hui Zhong, Sanjit Ghose, Michael Drakopoulos, Nghia T. Vo, Zhong Zhong, Jürgen Janek, Partha P. Mukherjee, Kelsey B. Hatzell   +17 more
wiley   +1 more source

Estimation of spatiotemporal poisson processes with missing data. [PDF]

Sci Rep
Guigues V, Kleywegt A, Nascimento VH, de Andrade LR.   +3 more
europepmc   +1 more source

Model‐Based Bayesian Optimization for Organic Photovoltaics: Combining Bayesian Optimization With Physical Domain Knowledge

Advanced Energy Materials, EarlyView.
Integration of a physical solar cell model into Bayesian optimization is performed using the Knowledge Gradient acquisition function to balance exploration and exploitation. Experimental validation on the PTQ10:BTP‐eC9 material system and statistical validation on an OPV benchmark function show that the model‐based approach outperforms conventional ...
Leonard Christen, Thomas Kirchartz
wiley   +1 more source