Results 131 to 140 of about 107,798 (193)
Continuous Physics‐Informed Learning Expedited Battery Mechanism Decoupling
A battery modeling framework combining dual neural networks with physical prior is presented to track internal mechanisms, decouple overpotential components, and early predict aging trajectories using only DC data, eliminating the need for additional measurements.
Shanling Ji +7 more
wiley +1 more source
Complexity reduction by symmetry: Uncovering the minimal regulatory network for logical computation in bacteria. [PDF]
Álvarez-García LA +3 more
europepmc +1 more source
Strong Proton‐Phonon Coupling Drives Fast Ion Transport in Perovskites
Experimental and computational phonon analysis of ABO3‐type proton conductor BaSnO3 shows that substitution on the B‐site with yttrium forms an imaginary phonon mode which is instrumental for the function as proton conductor. This overcompensates the adverse proton trapping effect of the yttrium.
Alexey Rulev +8 more
wiley +1 more source
Contribution of 1D topological states to the extraordinary thermoelectric properties of Bi2Te3. [PDF]
Chudzinski P.
europepmc +1 more source
Mathematical modeling applied to epidemics: an overview. [PDF]
Mata AS, Dourado SMP.
europepmc +1 more source
A predictive model for 3D printability is developed by integrating rheological analysis, including the Large Amplitude Oscillatory Shear (LAOS) test, with machine learning. With prediction errors under 10%, the model shows that post‐extrusion recovery controls horizontal printability, while high‐strain‐rate nozzle flow dictates vertical printability ...
Eun Hui Jeong +7 more
wiley +1 more source
Free‐Standing Halogen‐Bonded Nanosheets Formed by Ultrasonic Liquid Exfoliation
Free‐standing nanosheets held together by halogen bonding interactions (XB), formed through ultrasonic liquid exfoliation of layered molecular crystals, are reported here for the first time. The work challenges the conventional requirement for strong in‐layer interactions for the formation of stable nanosheets through liquid exfoliation and establishes
Prioti Choudhury Purba +9 more
wiley +1 more source
A prior knowledge‐guided diffusion model augmented by physics‐constrained active learning is developed to design high‐asymmetry terahertz metamaterials. Trained on only a small set of classical structures, the model efficiently generates new high‐metrics designs.
Qiqi Dai +7 more
wiley +1 more source
Burn‐Safe Biodegradable Magnetocaloric Composites for Temperature‐Controlled Biomedical Applications
This work investigates a magnetocaloric (Mn,Fe)2(P,Si) compound tailored for precise, self‐regulating heating in biomedical use. With a Curie temperature tuned at 43 °C, it enables therapeutic activation without overheating. Encapsulation in a composite ensures controlled temperature rise under an alternating magnetic field (AMF), with high ...
Pornpawee Uliss +8 more
wiley +1 more source

