Results 211 to 220 of about 39,158 (344)
Computational Simulations of Metal–Organic Frameworks to Enhance Adsorption Applications
This review highlights the significance of molecular simulations in expanding the understanding of metal–organic frameworks (MOFs) and improving their gas adsorption applications. The historical development and implementation of molecular simulations in the MOF field are given, high‐throughput computational screening studies used to unlock the ...
Hilal Daglar+3 more
wiley +1 more source
Malaria prevention in the age of climate change: A community survey in rural Senegal. [PDF]
Sherman ACL, Aligne CA, Matthews JD.
europepmc +1 more source
The Mars Surveyor '01 Rover and Robotic Arm [PDF]
R.G. Bonitz, Tam T. Nguyen, W.S. Kim
openalex +1 more source
Retrospective Review on Reticular Materials: Facts and Figures Over the Last 30 Years
To shape the future course of research in reticular materials, this work reflects on the progress over the past 30 years, complemented by input from the community of 228 active researchers through a global, crowdsourced survey: ranging from demographics, how it works, publish and interact, to highlights on both academic and industrial milestones, as ...
Aamod V. Desai+8 more
wiley +1 more source
Martian clouds observed by Mars Global Surveyor Mars Orbiter Camera [PDF]
HUIQUN WANG, Andrew P. Ingersoll
openalex +1 more source
State‐of‐the‐Art, Insights, and Perspectives for MOFs‐Nanocomposites and MOF‐Derived (Nano)Materials
Different approaches to MOF‐NP composite formation, such as ship‐in‐a‐bottle, bottle‐around‐the‐ship and in situ one‐step synthesis, are used. Owing to synergistic effects, the advantageous features of the components of the composites are beneficially combined, and their individual drawbacks are mitigated.
Stefanos Mourdikoudis+6 more
wiley +1 more source
A method to map real-time gamma-ray radiation in urban areas near the soil surface. [PDF]
Pereira P+5 more
europepmc +1 more source
Machine‐Learning‐Aided Advanced Electrochemical Biosensors
Electrochemical biosensors are highly sensitive, portable, and versatile. Advanced nanomaterials enhance their performance, while machine learning (ML) improves data analysis, minimizes interference, and optimizes sensor design. Despite progress in both fields, their combined potential in diagnostics remains underexplored.
Andrei Bocan+9 more
wiley +1 more source