Results 221 to 230 of about 416,793 (324)
Cooperative optical response of two-dimensional atomic arrays in solids. [PDF]
Kling T, Na DY, Hosseini M.
europepmc +1 more source
This study employs a nanochain engineering approach combined with an in situ oxidation strategy to fabricate self‐insulating iron‐based magnetic nanochains, addressing the challenge of balancing magnetic coupling and electrical insulation in soft magnetic materials.
Dingrong Zuo +8 more
wiley +1 more source
A synergistic approach using phenethylammonium iodide (PEAI) and antimony iodide (SbI3) enhances the operational stabilities of perovskite solar cells by providing p‐type doping effect, suitable band energy alignment, reduced defect density, and minimized surface ion vacancies in the perovskite films.
Abraham Adenle +17 more
wiley +1 more source
Post-quantum cryptographic authentication protocol for industrial IoT using lattice-based cryptography. [PDF]
Shahid AB +4 more
europepmc +1 more source
Lifshitz Transition in Correlated Topological Semimetals
Theoretical calculations reveal that in YPtBi and GdPtBi, strong electronic correlations shift topological Dirac nodes away from the Fermi level by forming large hole pockets. This effect is sensitive to temperature and arises from interactions among 4d or 4f electrons, offering insights into Fermi surface engineering in quantum materials.
Byungkyun Kang +4 more
wiley +1 more source
Strong magnon-photon coupling enhanced by photonic lattice flat-bands. [PDF]
Hong Q, Qian J, Chen F, Yang Y, Wang YP.
europepmc +1 more source
Photocatalytic treatment of glyphosate herbicide in agricultural wastewater is achieved through the cooperative effect of the local polarization field and dipole field mediated by lattice‐distorted carbon nitride. Glyphosate is completely degraded via selective C─P bond cleavage with a CO evolution rate of 1166 µmol g−1 h−1.
Daoping Chen +7 more
wiley +1 more source
Crystallization of the Transdimensional Electron Liquid. [PDF]
Bondarev IV +3 more
europepmc +1 more source
Diffusion–Model–Driven Discovery of Ferroelectrics for Photocurrent Applications
We developed a diffusion model–based generative AI and high‐throughput screening framework that accelerates the discovery of photovoltaic ferroelectrics. By coupling AI driven crystal generation with machine learning and DFT screening, we identified Ca3P2 and LiCdP as new ferroelectric materials exhibiting strong polarization, feasible switching ...
Byung Chul Yeo +3 more
wiley +1 more source

