Results 151 to 160 of about 452,508 (327)

Recycling of Thermoplastics with Machine Learning: A Review

Advanced Functional Materials, EarlyView.
This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque, Florian Stephan, Annalena Pongratz, Christian Brütting, Katharina Krause, Holger Ruckdäschel   +5 more
wiley   +1 more source

Boosting Long-term Factuality in Large Language Model with Real-World Entity Queries [PDF]

L Davies, Samantha Bellington
openalex   +1 more source

Query languages for the casual user [PDF]

, 1983
William C. Ogden, Susan R. Brooks
openalex   +1 more source

Separate What You Describe: Language-Queried Audio Source Separation [PDF]

, 2022
Xubo Liu, Haohe Liu, Qiuqiang Kong, Xinhao Mei, Jinzheng Zhao, Qiushi Huang, Mark D. Plumbley, Wenwu Wang   +7 more
openalex   +1 more source

Magnetic‐Field Tuning of the Spin Dynamics in the Quasi‐2D Van der Waals Antiferromagnet CuCrP2S6

Advanced Functional Materials, EarlyView.
This study reveals 2D character of the spin dynamics in CuCrP2S6, as well as complex field dependence of collective excitations in the antiferromagnetically ordered state. Their remarkable tuning from the antiferromagnetic to the ferromagnetic type with magnetic field, together with the non‐degeneracy of the magnon gaps favorable for the induction of ...
Joyal John Abraham, Yaqian Guo, Yuliia Shemerliuk, Sebastian Selter, Saicharan Aswartham, Kranthi Kumar Bestha, Laura T. Corredor, Anja U. B. Wolter, Olga Kataeva, Luka Rogić, Noah Somun, Damjan Pelc, Oleg Janson, Jeroen van den Brink, Bernd Büchner, Vladislav Kataev, Alexey Alfonsov   +16 more
wiley   +1 more source

Revealing the Auxetic Behavior of Biomimetic Multimaterial and Region‐Specific Nanofibrous Fascicle‐Inspired Scaffolds via Synchrotron Multiscale Digital Volume Correlation: Innovative Building Blocks for the Enthesis Regeneration

Advanced Functional Materials, EarlyView.
Enthesis injuries are a worldwide healthcare problem. Biomimetic electrospun enthesis fascicle‐inspired scaffolds, with and without nano‐mineralization are developed. Human Mesenchymal Stromal cells (hMSCs) express the most balanced enthesis markers on the non‐mineralized scaffolds.
Alberto Sensini, Francesca Giacomini, Olga Stamati, Bratislav Lukic, Julie Villanova, Henry Proudhon, Maryse Gille, Zeinab Tahmasebi Birgani, Roman Truckenmüller, Gianluca Tozzi, Martijn van Griensven, Lorenzo Moroni   +11 more
wiley   +1 more source

Corpus-Steered Query Expansion with Large Language Models [PDF]

Yibin Lei, Yu Cao, Tianyi Zhou, Tao Shen, Andrew Yates   +4 more
openalex   +1 more source

Mechanical Properties of Architected Polymer Lattice Materials: A Comparative Study of Additive Manufacturing and CAD Using FEM and µ‐CT

Advanced Functional Materials, EarlyView.
This study examines how pore shape and manufacturing‐induced deviations affect the mechanical properties of 3D‐printed lattice materials with constant porosity. Combining µ‐CT analysis, FEM, and compression testing, the authors show that structural imperfections reduce stiffness and strength, while bulk material inhomogeneities probably enhance ...
Oliver Walker, Thierry Roland, Damien Favier, Antoine Egele, Michael Heymann, Cosima Stubenrauch   +5 more
wiley   +1 more source

Object identity as a query language primitive [PDF]

, 1998
Serge Abiteboul, Paris C. Kanellakis
openalex   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source