Results 151 to 160 of about 33,125 (301)
Strategic Tasks for Explainable Reinforcement Learning
Commonly used sequential decision making tasks such as the games in the Arcade Learning Environment (ALE) provide rich observation spaces suitable for deep reinforcement learning.
Neal, Lawrence, Fern, Alan, Pocius, Rey
core +1 more source
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll +19 more
wiley +1 more source
Exploring explainable AI: a bibliometric analysis
Over the past few years, explainable artificial intelligence (XAI) has become increasingly popular as a result of the demand for AI systems that are simpler to comprehend and with greater interpretability. This study provides a conceptual framework and a
Chetan Sharma +4 more
doaj +1 more source
Bacteria‐Responsive Nanostructured Drug Delivery Systems for Targeted Antimicrobial Therapy
Bacteria‐responsive nanocarriers are designed to release antimicrobials only in the presence of infection‐specific cues. This selective activation ensures drug release precisely at the site of infection, avoiding premature or indiscriminate release, and enhancing efficacy.
Guillermo Landa +3 more
wiley +1 more source
Kelvin Probe Force Microscopy in Bionanotechnology: Current Advances and Future Perspectives
Kelvin probe force microscopy (KPFM) enables the nanoscale mapping of electrostatic surface potentials. While widely applied in materials science, its use in biological systems remains emerging. This review presents recent advances in KPFM applied to biological samples and provides a critical perspective on current limitations and future directions for
Ehsan Rahimi +4 more
wiley +1 more source
Predictive and Explainable Artificial Intelligence for Neuroimaging Applications
Background: The aim of this review is to highlight the new advance of predictive and explainable artificial intelligence for neuroimaging applications.
Kwang-Sig Lee, Sekwang Lee
core +1 more source
Ordered three‐dimensional anodic aluminum oxide (3D‐AAO) nanoarchitectures with longitudinal and transverse pores enable architecture‐driven metamaterials. The review maps fabrication advances, including hybrid pulse anodization, and shows how 3D‐AAO templates tailor properties across magnetism, energy, catalysis, and sensing.
Marisol Martín‐González
wiley +1 more source
Flexible Ag2Se‐Based Thermoelectrics: Fundamentals, Processing, and Device Applications
Ag2Se‐based thermoelectrics are reviewed from fundamental transport mechanisms to flexible device integration. Crystal structure, defect chemistry, and band features are correlated with performance optimization strategies and scalable fabrication routes.
Jie Qin +5 more
wiley +1 more source
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam +6 more
wiley +1 more source
Controlling the protein corona formation onto carbon nanomaterials (CNMs) enhances their functionalities as platforms for cancer theranostics. Here, we reviewed the effects of the intrinsic and acquired properties of CNMs on protein corona formation, the consequent biological and toxicological outcomes, and the strategies to reshape corona formation ...
Yajuan Zou +5 more
wiley +1 more source

