Results 71 to 80 of about 7,476 (217)

Giant Exfoliation Induced Magnetic Coercivity in Fe3GaTe2

Advanced Electronic Materials, EarlyView.
Mechanical exfoliation is shown to transform the van der Waals ferromagnet Fe3GaTe2 from a soft into a hard magnetic system. Reducing thickness drives a crossover to single‐domain behavior, dramatically enhancing in‐plane coercivity to near–permanent‐magnet levels at room temperature.
Lingrui Mei, PeiYu Cai, Sang‐Eon Lee, Yue Li, Shyam Raj Karullithodi, Vadym Kulichenko, Charudatta Pathak, Elton J. G. Santos, Luis Balicas   +8 more
wiley   +1 more source

General quartic β-function at three loops

Journal of High Energy Physics
We determine the three-loop MS ¯ $$ \overline{\textrm{MS}} $$ quartic β-function for the most general renormalisable four-dimensional theories. A general parametrisation of the β-function is compared to known β-functions for specific theories to fix all ...
Tom Steudtner, Anders Eller Thomsen
doaj   +1 more source

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

Advanced 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, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

FIRE‐GNN: Force‐Informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties

Advanced Intelligent Discovery, EarlyView.
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu, Claire Schlesinger, Karan Mudaliar, Jordan Leung, Robin Walters, Peter Schindler   +5 more
wiley   +1 more source

Time-Dependent Real-Space Renormalization Group Method [PDF]

Journal of Sciences, Islamic Republic of Iran, 2005
In this paper, using the tight-binding model, we extend the real-space renormalization group method to time-dependent Hamiltonians. We drive the time-dependent recursion relations for the renormalized tight-binding Hamiltonian by decimating selective ...
doaj  

Gradient flows and the curvature of theory space

Journal of High Energy Physics
The metric and potential associated with the gradient property of renormalisation group flow in multiscalar models in d = 4 − ε dimensions are studied. The metric is identified with the Zamolodchikov metric of nearly marginal operators on the sphere.
William H. Pannell, Andreas Stergiou
doaj   +1 more source

Comprehensive DFT Analysis of FeSi and RhSi: Structural Stability, Electronic Contrast and Transport‐Optical Responses

Advanced Physics Research, EarlyView.
This comprehensive density functional theory analysis investigates the structural, electronic, optical, mechanical, and thermoelectric properties of FeSi, c‐RhSi, and o‐RhSi. Results reveal distinct electronic and optical contrasts among the materials.
Md Farhan Hassan, Shaher Azad, Md Salim Hossain, Suptajoy Barua, Md Kamruzzaman   +4 more
wiley   +1 more source

A note on defect stability in d = 4 − ε

Journal of High Energy Physics
We explore the space of scalar line, surface and interface defect field theories in d = 4 − ε by examining their stability properties under generic deformations.
William H. Pannell
doaj   +1 more source

On a realization of {β}-expansion in QCD

Journal of High Energy Physics, 2017
We suggest a simple algebraic approach to fix the elements of the {β}-expansion for renormalization group invariant quantities, which uses additional degrees of freedom.
S.V. Mikhailov
doaj   +1 more source

Functional renormalization group flow of massive gravity

European Physical Journal C: Particles and Fields, 2020
We apply the functional renormalization group equation to a massive Fierz–Pauli action in curved space and find that, even though a massive term is a modification in the infrared sector, the mass term modifies the value of the non-gaussian fixed point in
Maximiliano Binder, Iván Schmidt
doaj   +1 more source