Results 131 to 140 of about 38,674 (306)
Interplay Between Structure and Interfacial Interactions in Fe‐Gd Synthetic Ferrimagnets
Synthetic ferrimagnets with nearly identical Gd–Fe compositions but different architectures and crystallinity were investigated by element‐resolved microscopy, structural analysis and atomistic spin simulations. The results show that Curie temperature and domain evolution are governed primarily by structural order and interface quality, demonstrating ...
Álvaro González‐García +10 more
wiley +1 more source
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu +6 more
wiley +1 more source
Polynomial Hamiltonian systems of degree 3 with symmetric nilpotent centers
Fabio Scalco Dias +2 more
openalex +2 more sources
Transition metal‐decorated holey graphyne (TM@hGY) catalysts are evaluated for electrochemical nitrogen reduction. Cr@hGY demonstrates exceptional catalytic activity with a limiting potential of −0.34 V, exhibiting high selectivity for ammonia synthesis and low hydrogen evolution, offering a promising strategy for efficient, sustainable ammonia ...
Mihir Ranjan Sahoo +3 more
wiley +1 more source
AIMNet2‐NSE: A Transferable Reactive Neural Network Potential for Open‐Shell Chemistry
AIMNet2‐NSE enables accurate modeling of open‐shell radical chemistry through neural spin‐charge equilibration (NSE). This machine learning interatomic potential predicts radical reaction energies, barriers, and spin‐crossing events with near‐DFT accuracy while offering five orders of magnitude computational speedup, making high‐throughput exploration ...
Bhupalee Kalita +7 more
wiley +2 more sources
C1 non-integrability of a hydrogen atom in a circularly polarized microwave field
Guirao Juan, López Miguel, Vera Juan
doaj +1 more source
System Theoretical Properties of linear port-Hamiltonian Systems on Infinite-dimensional Spaces
Julia T. Kaiser
openalex +2 more sources
Designing Memristive Materials for Artificial Dynamic Intelligence
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley +1 more source
New push–pull para‐azaquinodimethane derivatives were synthetized through a sustainable protocol. Transient absorption results showed ultrafast intermolecular singlet fission (SF) in film and demonstrated for AsOMe higher triplet energy than for literature SF materials, with intriguing perspectives for photovoltaics toward silicon matched SF.
Martina Alebardi +11 more
wiley +2 more sources

