Study of Free‐Space Optical Quantum Network: Review and Prospectives
Free from the constraints of fiber connections, free‐space quantum network enables longer and more flexible quantum network connections. This review summarizes and comparatively analyzes free‐space quantum network experiments based on ground stations, satellites, and mobile platforms.
Hua‐Ying Liu, Zhenda Xie, Shining Zhu
wiley +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
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Research Progress of Electrically Conductive Asphalt Concrete Deicing and Snowmelt Technology: Material Development and Application Progress. [PDF]
Liu D, Zhao J, Lu M, Wang Z, He J.
europepmc +1 more source
Imidazolium PIL nanoparticles, as an N‐rich template and morphology director, enable a colloidal self‐nitriding route to TMNs (VN, Mo2N) within controlled solid/hollow carbon architectures. As sulfur hosts/additives, TMNs accelerate Li–S redox kinetics and support high‐loading cathodes.
Yael Rodriguez Ayllon +14 more
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A BIM-Based Digital Twin Framework for Urban Roads: Integrating MMS and Municipal Geospatial Data for AI-Ready Urban Infrastructure Management. [PDF]
Scolamiero V, Boccardo P.
europepmc +1 more source
Diffusion–Model–Driven Discovery of Ferroelectrics for Photocurrent Applications
We developed a diffusion model–based generative AI and high‐throughput screening framework that accelerates the discovery of photovoltaic ferroelectrics. By coupling AI driven crystal generation with machine learning and DFT screening, we identified Ca3P2 and LiCdP as new ferroelectric materials exhibiting strong polarization, feasible switching ...
Byung Chul Yeo +3 more
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Prediction of pavement performance via smatrphone vibration-induced unevenness signature using machine learning. [PDF]
Wasiq S +3 more
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This manuscript presents the WDMS platform, an AI‐assisted, self‐powered wearable dual‐mode sensor for tele‐neurology. It integrates a contact–separation TENG insole with stretchable polyurethane optical‐fiber strain sensors to synchronously track plantar pressure and lower‐limb muscle deformation.
Tianliang Li +12 more
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Acoustic Performance of Stone Mastic Asphalts with Crumb Rubber and Polymeric Additives in Warm, Dry Climates. [PDF]
Campuzano-Ríos J, Jorquera-Lucerga JJ.
europepmc +1 more source
This work proposes a reliable strategy to elucidate the structure and composition of conjugated donor‐acceptor block copolymers. The method, based on NMR analysis, allows to extract key structural information such as the number of heterojunctions (NoH) and the number of blocks (NoB) of the copolymers.
Antoine Curé +5 more
wiley +1 more source

