Results 191 to 200 of about 444,656 (315)
Photoswitching Conduction in Framework Materials
Advanced Functional Materials, EarlyView.This mini‐review summarizes recent advances in state‐of‐the‐art proton and electron conduction in framework materials that can be remotely and reversibly switched on and off by light. It discusses the various photoswitching conduction mechanisms and the strategies employed to enhance photoswitched conductivity.
Helmy Pacheco Hernandez +4 more
wiley +1 more source
Fabrication of Low-Power Consumption Hydrogen Sensor Based on TiO<sub>x</sub>/Pt Nanocontacts via Local Atom Migration. [PDF]
Nanomaterials (Basel)Naitoh Y, Shima H, Akinaga H.
europepmc +1 more source
Advanced Functional Materials, EarlyView.A food‐grade cooling composite made from starch and recycled eggshell powder offers a scalable, ultra‐low‐cost solution for passive daytime radiative cooling. Easily prepared using basic kitchen tools, this material empowers communities, even in areas with limited infrastructure, to stay cooler during worsening summer heat waves.
Qimeng Song +3 more
wiley +1 more source
Monolithic 3D Oscillatory Ising Machine Using Reconfigurable FeFET Routing for Large-Scalability and Low-Power Consumption. [PDF]
Adv Sci (Weinh)Kim JP +8 more
europepmc +1 more source
Statistical power consumption of RC interconnect tree with process fluctuation
, 2011 Gang Dong +3 more
openalex +1 more source
MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance
Advanced Functional Materials, EarlyView.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
Abnormal Operation Detection of Automated Orchard Irrigation System Actuators by Power Consumption Level. [PDF]
Sensors (Basel)Ahmed S +5 more
europepmc +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 +7 more
wiley +1 more source