Results 171 to 180 of about 152,187 (305)

The heteroclinic connection problem for general double-well potentials [PDF]

, 2014
By variational methods, we provide a simple proof of existence of a heteroclinic orbit to a second order Hamiltonian ODE that connects the two global minima of a double-well potential.
Sourdis, Christos
core  

Perspective: Quantum Computing on Magnetic Racetrack

Advanced Electronic Materials, EarlyView.
Magnetic domain walls emerge as mobile qubits on quantum racetracks, where chirality encodes quantum information and current‐driven motion enables flying‐qubit functionality. This Perspective outlines the physical principles, gate mechanisms, material requirements, and experimental roadmap for realizing scalable quantum computing with magnetic textures,
Ji Zou, Jelena Klinovaja, Daniel Loss
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

A computational study of Ising‐based solvers for discrete landscape exploration in process optimization

AIChE Journal, EarlyView.
ABSTRACT Conceptual process design combines discrete configuration choices with continuous operating decisions, often yielding difficult mixed‐integer nonlinear or simulation‐based optimization problems. This work presents an exploratory computational assessment of Ising‐based solvers, simulated annealing, quantum annealing, and entropy computing, as ...
Yirang Park, David E. Bernal Neira
wiley   +1 more source

Fractional Laplasians and propagation of waves in three-dimensional space as quantum process

Физика волновых процессов и радиотехнические системы, 2016
In this paper it is shown that in the whole range of problems of waves propagation there is hidden feynmanon. We call by feynmanon the quantum object moving along fractal trajectories in phase space of dynamical system related with wave equation ...
A.A. Potapov, A.E. Rassadin
doaj  

The Guided Local Hamiltonian Problem for Stoquastic Hamiltonians

CoRR
12 + 7 pages; 1 figure; 1 table; v2: added a deterministic classical approximation algorithm, minor grammatical edits;
openaire   +3 more sources

Evolution of Physical Intelligence Across Scales

Advanced Intelligent Discovery, EarlyView.
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu, Tianyun Huang, Aming Li, Pengyu Lv, Tingting Qin, Wenhui Chen, Hui Wei, Huiling Duan   +7 more
wiley   +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

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

Tunable Raman Scattering of Fe(II) Coordination Networks With Magnetic Fields

Angewandte Chemie, EarlyView.
Four heavy Hg(II) coordination networks with paramagnetic Fe(II) sites reveal strong and halogen‐tunable low‐frequency (LF) sub‐terahertz phonons and field‐dependent magnetic transitions. LF phonon spectroscopy and Raman magnetospectroscopy are powerful probes of structure, low‐energy vibration, zero‐field splitting, and spin–phonon coupling supported ...
Guanping Li, Olaf Stefanczyk, Joseph M. Flitcroft, Jonathan M. Skelton, William T. Morrillo, Meagan Oakley, Lulu Xiong, Koji Nakabayashi, Dmitry Smirnov, Komalavalli Thirunavukkuarasu, Mykhaylo Ozerov, Shin‐ichi Ohkoshi, Nicholas F. Chilton   +12 more
wiley   +2 more sources