Results 121 to 130 of about 146,281 (291)
Zero‐valent iron with a vacancy‐rich carbon shell and lattice Cu doping in Fe0 cores generates a dechlorination mechanism combining enhanced electron transfer and modulated H* spillover, which significantly lowers the energy barrier for dechlorinating low‐chlorinated intermediates, accelerates C─Cl bond dissociation, and then delivers breakthrough ...
Zimin Yan +7 more
wiley +1 more source
This perspective examines DFT in microwave‐absorbing materials, highlighting challenges like atomic configuration inaccuracies and electromagnetic field simulation limitations. It proposes integrating DFT and AI techniques such as active learning, Physical Information Neural Networks, and Graph Neural Networks for precise electron dynamics modeling and
Shengchong Hui +5 more
wiley +1 more source
The external field exceeds Hd, the speed polarization abruptly reorients to align with the Mn magnetic moments, leading to an MR ≈ −100%. Abstract Mn3Si2Te6, quasi‐2D ferrimagnetic semiconductor, exhibits anomalous saturated colossal magnetoresistance (CMR) only when a magnetic field is applied along its magnetic hard magnetization axis, suggesting ...
Shiqi Li +10 more
wiley +1 more source
The use of air stable but thermally labile molecules provides an efficient strategy for the N‐type doping of organic semiconductors with relatively low electron affinities. Design criteria for efficient dopants should also take into account diffusion and phase segregation that cannot be decoupled from thermally activated doping.
Francesca Pallini +15 more
wiley +1 more source
Hamiltonian theory applied to ameliorate the complexity of tcp network congestion control
Kun Wang +3 more
openalex +2 more sources
Intrinsic Strain‐Driven Topological Evolution in SrRuO3 via Flexural Strain Engineering
A flexural strain platform is developed to isolate intrinsic strain effects on the topological electronic structure in SrRuO3, and demonstrates that the topological properties and associated anomalous Hall effect can be effectively modulated via strain engineering without introducing phase transitions or crystal defects, offering a new approach for ...
Liguang Gong +10 more
wiley +1 more source
Atomistic Modeling of Valence Change Memory Devices: What Can We Learn from Simulations?
Simulation of resistive switching in valence change memory cells tusing density functional theory (DFT), molecular dynamics (MD), nudged elastic band (NEB), kinetic Monte Carlo (KMC), and quantum transport (QT) methods. Abstract Resistive switching devices based on the valence change effect have shown promise for applications in emerging in‐memory and ...
Marko Mladenović, Mathieu Luisier
wiley +1 more source
Ductile Inorganic Thermoelectrics: Advances, Challenges, and Perspectives
Thermoelectric technology facilitates efficient energy harvesting from natural sources, especially body heat. Plastic bulk inorganic thermoelectric materials offer high plasticity, ease of fabrication, and competitive thermoelectric performance. This review comprehensively outlines recent advances in plastic bulk inorganic thermoelectrics, focusing on ...
Cheng‐Jiong He +5 more
wiley +1 more source
This perspective highlights how machine learning accelerates sustainable energy materials discovery by integrating quantum‐accurate interatomic potentials with property prediction frameworks. The evolution from statistical methods to physics‐informed neural networks is examined, showcasing applications across batteries, catalysts, and photovoltaics ...
Kwang S. Kim
wiley +1 more source
This roadmap offers a forward‐looking perspective on spin enhancement in the oxygen evolution reaction. It highlights how combining systematic experiments, advanced computational modeling, and novel magnetic, chiral, or hybrid materials can deepen the understanding of spin‐dependent catalytic mechanisms.
Emma van der Minne +29 more
wiley +1 more source

