Results 221 to 230 of about 4,637,209 (304)

Flux‐Regulated Crystallization of Perovskites Using Machine Learning‐Predicted Solvent Evaporation Rates for X‐Ray Detectors

Advanced Functional Materials, EarlyView.
By integrating machine learning into flux‐regulated crystallization (FRC), accurate prediction of solvent evaporation rates in real time, improving crystallization control and reducing crystal growth variability by over threefold, is achieved. This enhances the reproducibility and quality of perovskite single crystals, leading to reproducible ...
Tatiane Pretto, Sergey Dayneko, Antoine Pavesic Junior, Nicholas Sandor, Alexander Hart, Yuki Haruta, Magdalena Bazalova‐Carter, Marcos J. L. Santos, Makhsud I. Saidaminov   +8 more
wiley   +1 more source

Query answering in distributed RDF databases

, 2017
Anthony Potter
openalex   +2 more sources

Swiss national radon database: impact of building and environmental factors. [PDF]

Front Public Health
Rey JF, Berlusconi C, Pampuri L, Goyette Pernot J.   +3 more
europepmc   +1 more source

The Influence of Annealing on the Sb Layer in the Synthesis of [001]‐Oriented Sb2Se3 Film for Photoelectrochemical Hydrogen Gas Generation

Advanced Functional Materials, EarlyView.
[001]‐oriented Sb2Se3 film with improved crystallinity and adjusted composition is achieved via a new thermal treatment approach consisting of preliminary annealing of the Sb layer before its selenization. The findings of this work demonstrate enhanced charge carriers' transportation, a stable performance, and an improvement of H2 generation from ...
Magno B. Costa, Moisés A. de Araújo, Joaquim Puigdollers, Pablo Ortega, Teresa Andreu, Cristobal Voz, Edgardo Saucedo, Lucia H. Mascaro   +7 more
wiley   +1 more source

UniqueNOSD: a novel framework for NoSQL over SQL databases. [PDF]

J Big Data
Gidado AA, Ezeife CI.
europepmc   +1 more source

Artificial Intelligence‐Driven Development in Rechargeable Battery Materials: Progress, Challenges, and Future Perspectives

Advanced Functional Materials, EarlyView.
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu, Junyuan Lu, Jian Hui, Ziyuan Rao, Yang Ren, Hong Wang   +5 more
wiley   +1 more source

Enterprise Information Management System Based on Distributed Database

, 2006
Zhang Li, Jian Wu, WU Zong-yan, Wang Jing-hua, Zhang Jian-jun   +4 more
openalex   +1 more source

Exploiting spatial indexes for semijoin-based join processing in distributed spatial databases

, 2000
Kian‐Lee Tan, Beng Chin Ooi, David J. Abel   +2 more
openalex   +2 more sources

Transfer learning for solar irradiation prediction in Minas Gerais, Brazil. [PDF]

Sci Rep
da Costa Alves Basílio S, Dos Santos CM, Martinho AD, Goliatt L.   +3 more
europepmc   +1 more source

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