Results 121 to 130 of about 266,938 (298)

Electric Field‐Induced Hole‐ and Electron‐Type Flat Bands in Twisted Double Bilayer Graphene

open access: yesAdvanced Electronic Materials, EarlyView.
The electronic structure of twisted double bilayer graphene is visualized using angle‐resolved photoemission spectroscopy with micrometer spatial resolution at twists of 3.1∘$^\circ$ and 6.0∘$^\circ$ as a function of gate voltage. Tunable hybridization effects and flat band formation occurs between valence and conduction band states due to a finite ...
Zhihao Jiang   +13 more
wiley   +1 more source

A simple model for magnetism in itinerant electron systems

open access: yes, 2006
A new lattice model of interacting electrons is presented. It can be viewed as a classical Hubbard model in which the energy associated to electron itinerance is proportional to the total number of possible electron jumps.
Andre M.C. Souza   +32 more
core   +1 more source

Decoding Gas Evolution Pathways and Interfacial Chemistry in Layered Oxide Cathodes for Safer Sodium‐Ion Batteries

open access: yesAdvanced Energy Materials, EarlyView.
Gas evolution behaviors of sodium layered oxide cathodes with varying compositions, cutoff voltages, dopants, and particle sizes/morphologies have been systematically investigated by online electrochemical mass spectrometry. The fundamental outgassing mechanisms of sodium‐based cathodes compared to lithium‐based cathodes have been elucidated.
Chen Liu, Zehao Cui, Arumugam Manthiram
wiley   +1 more source

Stability Analysis of the Hubbard Model

open access: yesJournal of Low Temperature Physics, 2002
25 pages, Latex2e, 4 figures and 1 table as ps-file, submission to Journal of Low Temperature ...
Grote, I., Koerding, E., Wegner, F.
openaire   +2 more sources

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

open access: yesAdvanced 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   +6 more
wiley   +1 more source

A simple case of d(x2-y2) pairing: Hubbard ladder

open access: yesEPJ Web of Conferences, 2012
We study the strength and the temperature scale of the d(x2-y2) pairing correlations in the Hubbard model on a ladder lattice using Quantum Monte Carlo (QMC) simulations.
Bulut N.
doaj   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

open access: yesAdvanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park   +19 more
wiley   +1 more source

Quantitative assessment of the universal thermopower in the Hubbard model. [PDF]

open access: yesNat Commun, 2023
Wang WO   +4 more
europepmc   +1 more source

Livestock Tango: U.S. and Latin America Dance Together, but Who Will Lead?

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT This study examines the competitiveness between Latin American and U.S. livestock and meat sectors. We employ a computable general equilibrium modeling framework to evaluate two scenarios: coordinated improvements in Latin American productivity, transport efficiency, and market access (Scenario I), and the minimum productivity gains required ...
Taís C. Menezes   +2 more
wiley   +1 more source

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