Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
Advanced Electronic Materials, EarlyView.This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source
Graph-Calibrated Differential Privacy for Correlated IoT Sensing Streams. [PDF]
Sensors (Basel)Chen Z, Chen J.
europepmc +1 more source
Stochastic‐MTJ Sampler Arrays for In‐Array Monte–Carlo Estimation
Advanced Electronic Materials, EarlyView.A low‐energy‐barrier magnetic tunnel junction array is operated as a probability‐domain sampler: each cell's random switching, programmed through a shared digital‐to‐analog converter, makes the per‐column multiply–accumulate an unbiased Monte–Carlo expectation estimator that returns both a mean and a calibrated uncertainty.
Ran Zhang +6 more
wiley +1 more source
Advanced Electronic Materials, EarlyView.Composite‐based flexible electronics integrate biodegradable polymers, conductive networks, and multilayer device architectures to balance electrical performance, mechanical durability, and controlled degradation. Interfacial engineering and encapsulation regulate transport stability and operational lifetime, while programmed disassembly enables ...
Sayam, Sangho Cho
wiley +1 more source
BioEdge-RGC: Compact Neural Policy Transfer from Model-Predictive Control in a Transcriptomics-Informed Optic Nerve Injury Simulation. [PDF]
Brain SciIancu RI +9 more
europepmc +1 more source
Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization
Advanced Electronic Materials, EarlyView.Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali +3 more
wiley +1 more source
Advanced Electronic Materials, EarlyView.This review surveys organic electrochemical transistors as core building blocks for energy‐autonomous bio‐integrated electronics. We outline device physics, OMIEC materials, and electrolyte effects that enable sub‐volt, high‐gain operation, and discuss direct coupling with mechanical, thermal, and optical energy harvesters to realize battery‐free ...
Jonggeun Park +3 more
wiley +1 more source
Assessment of Convolutional Neural Network and Vision Transformer Architectures for Structural Surface Classification. [PDF]
J ImagingThango BA, Thango SG.
europepmc +1 more source
Atomic‐Scale Mechanisms of Anisotropic Thermal Decomposition in GeSn Alloys With Stepwise Pinning
Advanced Electronic Materials, EarlyView.Combining in situ TEM with DFT calculations, this work elucidates atomic‐scale anisotropic thermal decomposition in GeSn films, identifying laminar receding in defect‐free regions and stepwise pinning at stacking faults. Driven by crystallographic anisotropy and defect‐mediated energetic penalties, these findings establish a physical framework for ...
YiXin Wang +6 more
wiley +1 more source
Beyond Budget Execution: Financial and Operational Indicator Profiles in Bacău County's Maternal and Child Health Programme, Romania, 2021-2024. [PDF]
Healthcare (Basel)Botezatu Mocondoi OL +5 more
europepmc +1 more source