Monte Carlo simulations of geometric deformation of Harrison-Anderson-Mick applicators used in intraoperative radiation therapy. [PDF]
Insley B +9 more
europepmc +1 more source
Design and Applications of Multi‐Frequency Programmable Metamaterials for Adaptive Stealth
This article provides a comprehensive overview of metamaterials, including their fundamental principles, properties, synthesis techniques, and applications in stealth, as well as their challenges and future prospects. It covers topics that are more advanced than those typically discussed in existing review articles, while still being closely connected ...
Jonathan Tersur Orasugh +4 more
wiley +1 more source
A unified Erdős-Pósa theorem for cycles in graphs labelled by multiple abelian groups. [PDF]
Gollin JP +4 more
europepmc +1 more source
This review explores functional and responsive materials for triboelectric nanogenerators (TENGs) in sustainable smart agriculture. It examines how particulate contamination and dirt affect charge transfer and efficiency. Environmental challenges and strategies to enhance durability and responsiveness are outlined, including active functional layers ...
Rafael R. A. Silva +9 more
wiley +1 more source
Random Zero-Sum Dynamic Games on Infinite Directed Graphs. [PDF]
Attia L +4 more
europepmc +1 more source
Forcing Large Complete (Topological) Minors in Infinite Graphs
Maya Stein, José Zamora
openalex +2 more sources
Random walks and harmonic functions on infinite planar graphs using square tilings [PDF]
Itaï Benjamini, Oded Schramm
openalex +1 more source
MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance
Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley +1 more source
Average height for Abelian sandpiles and the looping constant on Sierpiński graphs. [PDF]
Heizmann N, Kaiser R, Sava-Huss E.
europepmc +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
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 +7 more
wiley +1 more source

