Results 151 to 160 of about 15,895 (291)
This research demonstrates that the combination of domain knowledge–based multiple regression, multi‐objective Bayesian optimization, and generative models is a suitable prediction tool for candidates of high refractive index polymers, even with the constraints in the model trained on limited data. The experimental validation can reproduce the proposed
Takuya Yokoo +3 more
wiley +1 more source
A meso‐carboxamide‐substituted BODIPY fluorescent probe reports myeloperoxidase (MPO) activity via electrophilic chlorination by MPO‐derived HOCl, generating a highly emissive chlorinated product with a ca. 40 nm bathochromic shift. Applications in quantitative MPO assays, cellular imaging of MPO‐derived HOCl, redox‐dependent discrimination of cancer ...
Siyoung Cho +3 more
wiley +2 more sources
Probing Machine Learning Interatomic Potentials on Ion Transport Properties
We perform a systematic benchmark of six state‐of‐the‐art universal machine learning interatomic potentials on their ability to predict ion transport properties in lithium‐ and sodium‐based superionic conductors relevant to all‐solid‐state batteries.
Ogheneyoma Aghoghovbia +2 more
wiley +1 more source
Magnesium‐Retention Assisted Synthesis of High‐Performance Zintl Thermoelectrics
Mg volatilization and chemical instability during high‐temperature synthesis hinder the scalable fabrication of Mg‐based thermoelectrics. Here, a magnesium‐retention assisted synthesis (MRAS) strategy stabilizes Mg using a sacrificial Mg reservoir and an inert‐gas‐regulated melting environment.
Boxuan Hu +9 more
wiley +2 more sources
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley +1 more source
Structure-Optical Property Relationships in AMM'Q<sub>3</sub> Chalcogenides. [PDF]
Tassanov A +4 more
europepmc +1 more source
Physics‐Grounded Probabilistic Bits for Hardware‐Efficient Intelligent Inference and Optimization
Si–SiNx interface traps are harnessed as a complementary metal–oxide–semiconductor‐compatible source of controllable randomness for probabilistic bits. Pulse‐width‐programmed stochastic capture converts nanoscale defect dynamics into Boltzmann‐consistent binary outputs, while a physics‐based Simulation Program with Integrated Circuit Emphasis model ...
Dokyoung Lee +3 more
wiley +1 more source
2D Transition Metal Carbo-Chalcogenides: An Emerging Family of Layered Materials. [PDF]
Wang Y, Li M, Ouyang X, Chai Z, Huang Q.
europepmc +1 more source
Structure-Property-Application Correlations of Early Transition Metal Chalcogenides: A Dichalcogenide-Centered Perspective. [PDF]
Jaidka S +6 more
europepmc +1 more source
Extending Transition-Metal Carbo-Chalcogenides to Tellurium with Nb<sub>2</sub>CTe<sub>2</sub>. [PDF]
Kushnir Y +9 more
europepmc +1 more source

