Designing a Policy Mechanism for Long-Duration Energy Storage: The British Experience. [PDF]
Spyrou E, Suski A, Green R.
europepmc +1 more source
PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley +1 more source
Path to future markets: Method for quantifying long-duration energy storage competitiveness. [PDF]
ZareAfifi F, Mahmud Z, Kurtz S.
europepmc +1 more source
Do not let thermal drift and instrument artifacts deceive high‐temperature nanoindentation results. We compare classical Oliver–Pharr and automatic image recognition analyses across steels and a Ni alloy to quantify these effects. Accounting for artifacts reveals systematic softening with temperature, while Cr and Ni additions boost resistance ...
Velislava Yonkova +2 more
wiley +1 more source
Synthesis and advanced applications of MXene nanosheets in energy storage, EMI shielding, and biomedicine: a review. [PDF]
Ghobashy MM +6 more
europepmc +1 more source
Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara +8 more
wiley +1 more source
Engineering CaO@activated carbon nanocomposite for simultaneous energy storage and pollutant adsorption. [PDF]
Noor AE, Ali S, Ahmad A.
europepmc +1 more source
Optimization of the Production of Rubber Compounds Using Mathematical Models
Rubber compounds were mixed in a batch internal mixer, and symbolic regression was used to derive mathematical models linking recipe and process parameters to ram path, torque, and mixing quality (incorporation, dispersion, distribution). Subsequent optimization with evolutionary algorithms identified operating conditions that reduce specific energy ...
Anke Bardehle +7 more
wiley +1 more source
Metal-Hydrogen Batteries and Decoupled Electrolyzers: Converging Pathways for Hydrogen-Integrated Energy Storage. [PDF]
Sanchez-Cupido L +3 more
europepmc +1 more source

