Results 71 to 80 of about 129,282 (240)

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

The vortex filament dynamics: New viewpoint on the problems of energy and effective mass

Vestnik Samarskogo Gosudarstvennogo Tehničeskogo Universiteta. Seriâ: Fiziko-Matematičeskie Nauki, 2019
The paper is devoted to the dynamics of a zero thickness infinite vortex filament in the local induction approximation. The filament is asymptotically considered as a straight line defined by the certain vector ${\boldsymbol{b}}_3 \in E_3$. We also
Sergei Vladimirovich Talalov
doaj   +1 more source

A non-linear Oscillator with quasi-Harmonic behaviour: two- and $n$-dimensional Oscillators

, 2004
A nonlinear two-dimensional system is studied by making use of both the Lagrangian and the Hamiltonian formalisms. The present model is obtained as a two-dimensional version of a one-dimensional oscillator previously studied at the classical and also at ...
Ballesteros A, Bessis N, Bose S K, Cariñena J F, Cariñnena J F, De R, Evans N W, Grosche C, Grosche C, Grosche C, Higgs P W, José F Cariñena, Kalnins E G, Kalnins E G, Kaushal R S, Lakshmanan M, Lakshmanan M, Leemon H I, Lévy-Leblond J M, Manuel F Rañada, Mariano Santander, Mathews P M, Mathews P M, Mitra A K, Murugaian Senthilvelan, Nishijima K, Perelomov A M, Rauch-Wojciechowski S, Ravoson V, Rañada M F, Rañada M F, Rañada M F, Sarlet W, Velo G   +33 more
core   +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

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

Advanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy, Vitalii Kapitan, Andrey Ustyuzhanin   +2 more
wiley   +1 more source

QUANTUM MODEL OF A CHARGED BLACK HOLE

Odessa Astronomical Publications, 2017
A canonical approach for constructing of the classical and quantum description spherically-symmetric con guration gravitational and electromagnetic fields is considered. According to the sign of the square of the Kodama vector, space-time is divided into
V. D. Gladush
doaj   +1 more source

Quantum computation of SU(2) lattice gauge theory with continuous variables

Journal of High Energy Physics
We present a quantum computational framework for pure SU(2) lattice gauge theory, using continuous variables instead of discrete qubits to represent the infinite-dimensional Hilbert space of the gauge fields.
Victor Ale, Nora M. Bauer, Raghav G. Jha, Felix Ringer, George Siopsis   +4 more
doaj   +1 more source

Quantum free energy differences from non-equilibrium path integrals: I. Methods and numerical application

, 2008
The imaginary-time path integral representation of the canonical partition function of a quantum system and non-equilibrium work fluctuation relations are combined to yield methods for computing free energy differences in quantum systems using non ...
B. J. Berne, G. Parisi, Gilles H. Peslherbe, H. Goldstein, Jeremy Schofield, Lisandro Hernández de la Peña, M. Abramowitz, M. Parinello, R. P. Feynman, R. P. Feynman, Ramses van Zon, W. H. Press   +11 more
core   +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

The Progress of Orbitronics: The Enhancement of Orbital Torque Efficiency

Advanced Physics Research, EarlyView.
Orbit‐torque (OT) devices attract significant attention for their low‐power consumption and high stability in applications. This review systematically outlines strategies for enhancing OT efficiency. We categorize approaches into boosting orbital currents/torques and improving the orbital‐to‐spin conversion coefficient.
Pengfei Liu, Tianci Tong, Delin Zhang, Tian Wang, Xinze Li, Ping Wang, Yong Jiang   +6 more
wiley   +1 more source