Results 141 to 150 of about 883,011 (303)
A flame‐spray‐pyrolysis method is presented to synthesize ultra‐bright CTS nanosheets with tunable NIR‐II emission. Achieving quantum yields up to 34%, these materials support high‐speed imaging and enable super‐resolution in vivo applications such as transcranial microcirculation mapping and macrophage tracking.
Robert Nißler+12 more
wiley +1 more source
Decision trees to evaluate the risk of developing multiple sclerosis. [PDF]
Pasella M+9 more
europepmc +1 more source
Spin Engineering of Dual‐Atom Site Catalysts for Efficient Electrochemical Energy Conversion
This review highlights recent progress in spin engineering of dual‐atom site catalysts (DASCs), emphasizing how spin‐related properties enhance electrocatalytic activity, selectivity, and stability. It summarizes cutting‐edge developments in dual‐atom catalysis, discusses the underlying spin‐catalysis mechanisms and structure–performance relationships,
Dongping Xue+5 more
wiley +1 more source
Quantum computation and decision trees [PDF]
Edward Farhi, Sam Gutmann
openalex +1 more source
This review explores the transformative role of AI in biosensor technology and provides a holistic interdisciplinary perspective that covers a broader scope of AI‐enabled biosensor technologies across various sectors including healthcare, environmental monitoring, food safety, and agriculture. It also highlights the important role of novel materials in
Tuğba Akkaş+4 more
wiley +1 more source
A comparative analysis of methods for pruning decision trees [PDF]
Floriana Esposito+3 more
openalex +1 more source
AI‐Driven Defect Engineering for Advanced Thermoelectric Materials
This review presents how AI accelerates the design of defect‐tuned thermoelectric materials. By integrating machine learning with high‐throughput data and physics‐informed representations, it enables efficient prediction of thermoelectric performance from complex defect landscapes.
Chu‐Liang Fu+9 more
wiley +1 more source
Predicting nearly as well as the best pruning of a decision tree [PDF]
David P. Helmbold, Robert E. Schapire
openalex +1 more source