Results 121 to 130 of about 149,900 (310)

Orbital Magnetic Moment Controlled Converse Magnetoelectric Effect in bcc‐Co3Mn/Fe/V/PMN‐PT Multiferroic Heterostructures

Advanced Science, EarlyView.
Based on orbital magnetic moment control, a material design strategy is proposed for a giant converse magnetoelectric effect in multiferroic heterostructures. This study will pioneer a promising route toward low‐power spintronic devices with an electric field.
Takamasa Usami, Yuichi Murakami, Ryota Watarai, Yu Shiratsuchi, Yoshihiro Gohda, Kohei Hamaya   +5 more
wiley   +1 more source

Orbital Hybridization‐Mediated Decoupling of Electrocatalytic Functions for Paired CO2 Electrosynthesis

Advanced Science, EarlyView.
This study constructs a dual‐scale Ag‐based catalyst on CeO2 nanorods via a facet‐guided strategy. This catalyst can induce a cascaded orbital hybridization effect, which synergistically optimizes oxygen vacancy stability, CO desorption kinetics, and charge transfer efficiency.
Youjia Wang, Bochen Tian, Yuxin Tian, Wenchao Wang, Xin Ma, Yansheng Liu, Junwei Hou   +6 more
wiley   +1 more source

Time-dependent Gutzwiller simulation of Floquet topological superconductivity

Communications Physics
Periodically driven systems provide a novel route to control the topology of quantum materials. In particular, Floquet theory allows an effective band description of periodically-driven systems through the Floquet Hamiltonian.
Takahiro Anan, Takahiro Morimoto, Sota Kitamura   +2 more
doaj   +1 more source

Understanding the Interplay Between Thermal Activation, Diffusion, and Phase Segregation of Molecular Dopants Blended with Polymeric Semiconductors

Advanced Electronic Materials, EarlyView.
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, Sara Mattiello, Mauro Sassi, Gabriele Paoli, Giuseppe Mattioli, Pietro Rossi, Giulia Coco, Alberto D. Scaccabarozzi, Brian Minki Kim, Pietro Mariani, Hiba Wakidi, Sadie M. Flagg, Massimiliano D'Arienzo, Mario Caironi, Thuc‐Quyen Nguyen, Luca Beverina   +15 more
wiley   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
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, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source

Designing Memristive Materials for Artificial Dynamic Intelligence

Advanced Intelligent Discovery, EarlyView.
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

Relational Observables in Gravity: a Review

Symmetry, Integrability and Geometry: Methods and Applications, 2012
We present an overview on relational observables in gravity mainly from a loop quantum gravity perspective. The gauge group of general relativity is the diffeomorphism group of the underlying manifold.
Johannes Tambornino
doaj   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

Quantum Carnot Bound from Petz Recovery Maps

Advanced Physics Research, EarlyView.
A quantum bound (ηP$\eta_P$, the Petz Limit) is derived for the efficiency (η$\eta$) of a heat engine utilizing two‐level quantum systems (qubits) as the working substance. This limit, based on Petz recovery maps, is stricter than the classical Carnot limit (ηC$\eta_C$) for irreversible cycles.
Douglas Mundarain, Kevin Araya‐Sossa, Mario Miranda‐Rojas   +2 more
wiley   +1 more source

Universal Entanglement and an Information‐Complete Quantum Theory

Advanced Physics Research, EarlyView.
This Perspective summarize an informationcomplete quantum theory which describes a fully quantum world without any classical systems and concepts. Here spacetime/gravity, having to be a physical quantum system, universally entangles matter (matter fermions and their gauge fields) as an indivisible trinity, and encodes information‐complete physical ...
Zeng‐Bing Chen
wiley   +1 more source