Results 181 to 190 of about 167,758 (218)
A Simple Understanding of Quantum Electrodynamics Using Bohmian Trajectories: Detecting Non-Ontic Photons. [PDF]
Seoane JJ, Benali A, Oriols X.
europepmc +1 more source
Miniature Soft Robot With Magnetically Reprogrammable Surgical Functions
Miniature soft robots have great prospects to revolutionize minimally invasive treatments. Here we present a miniature soft robot, which can be reprogrammed to perform five surgical functionalities with six‐degrees‐of‐freedom motions. This soft robot can prospectively make minimally invasive surgery considerably safer and painless, and enable ...
Chelsea Shan Xian Ng +4 more
wiley +1 more source
Human data at odds and in confirmation of the two-process model of sleep regulation-a perspective. [PDF]
Dijk DJ.
europepmc +1 more source
ABSTRACT The accelerating expansion of data‐centric technologies is sharply increasing the energy burden of information storage, placing unprecedented pressure on the efficiency of magnetic switching. Conventional field‐driven reversal, once the foundation of magnetic memory, has become impractical in modern architectures due to its high energy cost ...
Mohammad H. Badarneh +2 more
wiley +1 more source
Dynamical Control of Coulomb Interactions and Hubbard Bands in Monolayer 1T-TaS<sub>2</sub>. [PDF]
Notter N, Aichhorn M, Galler A.
europepmc +1 more source
Phase boundaries between Co2P and CoP are constructed through a controlled transformation of Co to Co2P‐CoP branched nanoparticles. The polycrystalline mixed‐phase Co2P‐CoP branches are enriched with phase boundaries that stabilize Co active sites for OER. This work highlights phase boundary engineering as a powerful approach to tailor active sites and
Zeno R. Ramadhan +10 more
wiley +1 more source
Core Loss Modeling of Magnetic Components Using a Data-Driven Method. [PDF]
Gao X, Yin S, Cheng Z, Gao T, Dong E.
europepmc +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source

