Results 141 to 150 of about 843,058 (298)
Pressure‐Induced Structural and Magnetic Evolution in Layered Antiferromagnet YbMn2Sb2
Pressure tunes the delicate balance between structure, magnetism, and electronic states in quantum materials. In YbMn2Sb2, high‐pressure X‐ray and neutron diffraction reveal a trigonal‐to‐monoclinic transition near 3.5 GPa, accompanied by unconventional magnetic ordering.
Mingyu Xu +9 more
wiley +1 more source
Halide segregation (HS) in mixed‐halide wide‐bandgap (WBG) perovskites is key to the stability of perovskite‐based tandem cells and a central focus of large‐scale research efforts. Here, we find that the underlying reason for the poor stability of cells prone to HS is enhanced ionic losses during operation. Furthermore, we identified irreversible ionic
Nikhil Kalasariya +24 more
wiley +1 more source
Quantum Machine Learning for Identifying Transient Events in X-Ray Light Curves
We investigate whether a novel method of quantum machine learning can identify anomalous events in X-ray light curves as transient events and apply it to detect such events from the XMM-Newton 4XMM-DR14 catalog.
Taiki Kawamuro +5 more
doaj +1 more source
Iron/nickel‐modified poly(heptazine imides) are efficient, low‐cost bifunctional electrocatalysts for the oxygen reduction and evolution reactions in aqueous zinc–air batteries. Iron enhances oxygen reduction, while nickel single‐atoms deliver oxygen evolution activity comparable to RuO2.
Franz Jacobi +10 more
wiley +1 more source
Yb2‐Tb Upconversion in a Hetero‐Trimetallic Molecular Lanthanide Complex
Lanthanides are at the forefront of photon upconversion in molecular systems; however, the chemical nature of the lanthanides makes site‐specific coordination chemistry difficult to achieve. Here, we employ kinetically stabile building blocks to achieve hetero‐trimetallic 4f complexes with complete site‐specific chemical control.
Nicolaj Kofod +8 more
wiley +2 more sources
Automatic Determination of Quasicrystalline Patterns from Microscopy Images
This work introduces a user‐friendly machine learning tool to automatically extract and visualize quasicrystalline tiling patterns from atomically resolved microscopy images. It uses feature clustering, nearest‐neighbor analysis, and support vector machines. The method is broadly applicable to various quasicrystalline systems and is released as part of
Tano Kim Kender +2 more
wiley +1 more source
AT 2019qiz is the first standard optical tidal disruption event (TDE) with detection of X-ray quasiperiodic eruptions (QPEs), providing strong evidence for TDE–QPE association.
Mingxin Wu +5 more
doaj +1 more source
LSST & TMT: Data Infrastructures for Time Domain Astronomy
LSST & TMT: Data Infrastructures for Time Domain ...
openaire +1 more source
Deep Learning‐Assisted Coherent Raman Scattering Microscopy
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu +4 more
wiley +1 more source
We present the first multiepoch broadband radio and millimeter monitoring of an off-nuclear tidal disruption event (TDE) using the Very Large Array, the Atacama Large Millimeter/submillimeter Array, the Allen Telescope Array, the Arcminute Microkelvin ...
Itai Sfaradi +36 more
doaj +1 more source

