Unveiling Localized Heat in Lithium‐Ion Cells for Intelligent Temperature Sensing
Heat generation, thermal responses, and intelligent management in batteries. Lithium‐ion batteries (LIBs) power electric vehicles, portable electronics, and grid‐scale storage, yet their safety, performance, and lifetime are constrained by thermal effects.
Yunke Wang +6 more
wiley +1 more source
Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj +2 more
wiley +1 more source
Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian +37 more
wiley +1 more source
From Droplet to Diagnosis: Spatio‐Temporal Pattern Recognition in Drying Biofluids
This article integrates machine learning (ML) with the spatio‐temporal evolution of biofluid droplets to reveal how drying and self‐assembly encode distinctive compositional fingerprints. By leveraging textural features and interpretable ML, it achieves robust classification of blood abnormalities with over 95% accuracy.
Anusuya Pal +2 more
wiley +1 more source
Review of Memristors for In‐Memory Computing and Spiking Neural Networks
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari +2 more
wiley +1 more source
B-Site Cu<sup>2</sup><sup>+</sup> Substitution and Strain-Mediated Magnetic Evolution in La<sub>2</sub>CoRuO<sub>6</sub> Double Perovskite: Insights from Experiment and DFT + U-Corrected Calculations. [PDF]
Nqayi S, Sondezi B.
europepmc +1 more source
Molecular fingerprinting for the detection of biomolecules is highly sensitive and noninvasive through the surface‐enhanced Raman scattering (SERS) effect. This is a report on the commercially competitive performance of gold‐coated periodic structures and black Si (aperiodic) nanostructures as plasmonic SERS substrates.
Desislava Daskalova +4 more
wiley +1 more source
A bias field correction workflow based on generative adversarial network for abdominal cancers treated with 0.35T MR-LINAC. [PDF]
Yang CC, Yang HT.
europepmc +1 more source
Structural, Superconducting and Magnetic Properties of Oxygen‐Annealed Fe1+yTe Thin Films
FeTe:Ox films exhibit exchange bias below their Néel temperatures, which coexists with superconductivity. STEM analysis reveals the structural changes induced by oxygen treatment. DFT calculations indicate that interstitial oxygen suppresses antiferromagnetism and promotes superconductivity.
Miao Meng +15 more
wiley +1 more source

