Results 121 to 130 of about 23,211 (263)

Hyperbolic structures in hamiltonian systems

Rocky Mountain Journal of Mathematics, 1977
Churchill, R.C., Pecelli, G., Rod, D.L.
openaire   +2 more sources

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

Factorization Machine with Iterative Quantum Reverse Annealing: A Python Package for Batch Black‐Box Optimization With Reverse Quantum Annealing

Advanced Intelligent Discovery, EarlyView.
Factorization machine with iterative quantum reverse annealing (FMIRA) leverages quantum reverse annealing to perform batch black‐box optimization. Factorization machine with quantum annealing (FMQA) is a widely used python package for solving black‐box optimization problems using D‐Wave quantum annealers.
Andrejs Tučs, Ryo Tamura, Koji Tsuda
wiley   +1 more source

Crater Observing Bioinspired Rolling Articulator (COBRA)

Advanced Intelligent Systems, EarlyView.
Crater Observing Bio‐inspired Rolling Articulator (COBRA) is a modular, snake‐inspired robot that addresses the mobility challenges of extraterrestrial exploration sites such as Shackleton Crater. Incorporating snake‐like gaits and tumbling locomotion, COBRA navigates both uneven surfaces and steep crater walls.
Adarsh Salagame, Henry Noyes, Eric Sihite, Arash Kalantari, Alireza Ramezani   +4 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

Solvable Structures for Hamiltonian Systems

22 ...
Kresic-Juric, Sasa, Muriel, Concepcion, Ruiz, Adrian   +2 more
openaire   +2 more sources

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

Amplified Quantum Correlation via Dynamical Modulation in Qubit‐Qutrit System under Markovian and Non‐Markovian Noise

Advanced Physics Research, EarlyView.
This study proposes an innovative approach to strengthen and amplify entanglement in a hybrid qubit–qutrit system driven by a dynamic field. By analyzing the system's dynamics under both Markovian and non‐Markovian environments, we show that specific field values optimize entanglement.
Polislin Fabrice Wonang, Wenceslas Cyprien Minsta Mi Edoux, Odette Melachio Tiokang, Georges Collince Fouokeng, Alain B. Moubissi, Tchoffo Martin   +5 more
wiley   +1 more source

The Port-Hamiltonian Structure of Continuum Mechanics. [PDF]

J Nonlinear Sci
Rashad R, Stramigioli S.
europepmc   +1 more source

Rational Design of Donor‐Acceptor Oligomers for Enhanced Charge Separation

Advanced Physics Research, EarlyView.
How can molecular symmetry be broken to maximize photoinduced charge separation? Through first‐principles analysis of 22 DTP‐based donor‐acceptor ternary oligomers, this work establishes that combining architectural asymmetry with site‐selective acceptor fluorination creates an ideal electrostatic landscape for frontier orbital segregation.
Jannik Theile, Michele Guerrini, Surender Kumar, Caterina Cocchi   +3 more
wiley   +1 more source