Future directions and emerging trends of sustainable energy harvesting: innovations in photovoltaic and thermoelectric systems. [PDF]
Anwar N +6 more
europepmc +1 more source
Photoswitching Conduction in Framework Materials
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
Design of a real-time energy monitoring system for profiling consumption in IoT nodes during local data processing. [PDF]
Villa-Garzón AA +2 more
europepmc +1 more source
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
Towards Closed-Loop Neuromodulation for Type 2 Diabetes With Ex Vivo Validation of Beta-Cell Activity and FOPP Detection. [PDF]
Eskandari R +8 more
europepmc +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
Optimized scheduling of integrated energy systems considering waste-to-power plants and advanced adiabatic air compression energy storage machines. [PDF]
Wang W, Liu M, Zhao H, Wu Y, Tian Y.
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
Optimal operation of multi-carrier energy systems integrated with renewable energy sources and hydrogen storage systems. [PDF]
Foroughian S +3 more
europepmc +1 more source
Multiscale Structuring of Hydroxyapatite via Two‐Photon Lithography of Nanocomposites
Hydroxyapatite scaffolds are of great interest in bone tissue engineering applications, ranging from 3D cell culture to regenerative medicine. Using two‐photon lithography of a transparent nanocomposite, hydroxyapatite microstructures with features ranging from submicron to centimeter‐scale are fabricated. This allows to mimic the natural bone geometry,
Leonhard Hambitzer +6 more
wiley +1 more source

