Results 201 to 210 of about 396,120 (300)
Rigorous construction and classification of solitary-waves and exact soliton configurations in the nonlinear coupled Maccari system. [PDF]
Hussain A +6 more
europepmc +1 more source
A thermally adaptive plasmonic metasurface, functionalized with poly(N‐isopropylacrylamide) (PNIPAM) and anti‐CD63 antibodies, enables precise, on‐demand capture and release of extracellular vesicles (EVs). Delivering high recovery, improved purity, and intact vesicle structure, the platform offers a versatile, label‐free solution for real‐time EV ...
Beyza Nur Kucuk +7 more
wiley +1 more source
Correction: Chaotic fluctuations mark the sign of mental activity in task-based heart rate variability. [PDF]
Mao T, Okutomi H, Umeno K.
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
Advanced semi-analytical techniques for fractional shallow water wave models through the analogical structure of generalized ϕ-Caputo derivative operators. [PDF]
Damag FH +5 more
europepmc +1 more source
Gate‐Tunable Floquet Weyl Photon Emission from Topological Dirac Semimetal Cd3As2
We report experimental demonstration of Floquet band engineering in a 3D Dirac semimetal. Circularly polarized light breaks the time reversal symmetry and transforms Cd3As2 into a Floquet–Weyl phase, splitting Dirac nodes into chirality‐opposite Weyl nodes with nonzero Berry curvature.
Sobhan Subhra Mishra +4 more
wiley +1 more source
Exact solutions of nonlinear thermodynamic wave patterns in graphene sheets for advanced material applications. [PDF]
Iqbal MAB +5 more
europepmc +1 more source
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +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

