Results 161 to 170 of about 11,512,228 (286)
Progress in Advanced Ceramic Fibers: From Spinning Techniques to Frontier Applications. [PDF]
Yan H, Xiang C, Qian H, Zhao C.
europepmc +1 more source
A dual‐phase flash Joule heating strategy converts pre‐pyrolyzed biomass into structurally tunable carbon materials from waste feedstocks. By decoupling current‐driven thermodynamic input and duration‐dependent kinetic relaxation, the process maps the transition from amorphous carbon to few‐layer turbostratic graphene and turbostratic nanographite ...
Jiawen Zeng +9 more
wiley +1 more source
Comparative Study of PBS and PBSA Biodegradable Nanofibers Produced by Electro-Blow Spinning for Sustainable Air Filtration Applications. [PDF]
Elnabawy E +6 more
europepmc +1 more source
Earth‐abundant metal‐ and non‐metal‐modified porous carbons offer a highly tunable platform for electrochemical CO2 reduction. This review shows how electronic interactions, active‐site coordination, pore architecture, and cooperative catalytic effects jointly govern intermediate stabilization, product selectivity, and device‐relevant CO2RR performance.
Hussein A. Younus +4 more
wiley +1 more source
Finite Time Blow-Up for the Hypodissipative Navier Stokes Equations with a Force in L t 1 C x 1 , ϵ ∩ L t ∞ L x 2 . [PDF]
Córdoba D, Martínez-Zoroa L, Zheng F.
europepmc +1 more source
Electrochemical fluorination (ECF, Simons process) is a valuable method for the fluorination of partially fluorinated dialkyl ethers, providing an inexpensive, scalable, and safe access to partially fluorinated ethers with a higher fluorine content and the perfluorinated analogues that are hardly accessible using other fluorination techniques ...
Tanja Knuplez +5 more
wiley +1 more source
Highly curved and flexible SiO<sub>2</sub> fiber sponge <i>via</i> turbulence spinning for efficient and portable plasma/serum separation. [PDF]
Zhou S +14 more
europepmc +1 more source
This work explores generative AI for automated revision of Piping and Instrumentation Diagrams (P&IDs). We frame P&ID correction as a translation problem, converting attributed P&ID graphs into sequences and learning revisions with a transformer‐based model.
Lukas Schulze Balhorn +5 more
wiley +1 more source
Exponential stabilization and finite time blow-up in a fractional thermal piezoelectric beam with delay. [PDF]
Ullah Z, Hao J, Thabet STM, Moulahi T.
europepmc +1 more source
Laminar Burning Velocity of Ammonia‐Hydrogen Mixtures Predicted by Machine Learning
Ammonia–hydrogen blends aid defossilization, but slow combustion kinetics require complex modeling. Although chemical kinetic modeling is computationally expensive, machine learning surrogates offer fast predictions. This study trained GPR, DT, and ANN models on 1445 experimental points.
Georg Klepp +2 more
wiley +1 more source

