Results 141 to 150 of about 304,578 (296)

Factorization Machine‐Based Active Learning for Functional Materials Design with Optimal Initial Data

Advanced Intelligent Discovery, EarlyView.
This work investigates the optimal initial data size for surrogate‐based active learning in functional material optimization. Using factorization machine (FM)‐based quadratic unconstrained binary optimization (QUBO) surrogates and averaged piecewise linear regression, we show that adequate initial data accelerates convergence, enhances efficiency, and ...
Seongmin Kim, In‐Saeng Suh
wiley   +1 more source

Regla de Leibnitz y problemas mecánico-cuánticos de evolución temporal

Momento, 1992
With the aid of the Leibnitz's differentiation rule a matrix formulation of quantum-mechanical time evolution problems is obtained. This brings about that no basis set has to be chosen, avoiding the cumbersome evaluation of Hamiltonian matrix elements ...
Diógenes Campos, José Fernando lsaza
doaj  

Solving Matrix Nearness Problems via Hamiltonian Systems, Matrix Factorization, and Optimization

These notes were written for the summer school on "Recent stability issues for linear dynamical systems - Matrix nearness problems and eigenvalue optimization" organized by Nicola Guglielmi and Christian Lubich at the Centro Internazionale Matematico Estivo (CIME) in September ...
Gillis, Nicolas, Guglielmi, Nicola, Lubich, Christian, Mehrmann, Volker, Sharma, Punit, Vandereycken, Bart, Gillis, Nicolas, Sharma, Punit   +7 more
openaire   +2 more sources

Machine Learning‐Assisted Second‐Order Perturbation Theory for Chemical Potential Correction Toward Hubbard U Determination

Advanced Intelligent Discovery, EarlyView.
In this work, the Doubao large language model (LLM) is involved in the formula derivation processes for Hubbard U determination regarding the second‐order perturbations of the chemical potential. The core ML tool is optimized for physical domain knowledge, which is not limited to parameter prediction but rather serves as an interactive physical theory ...
Mingzi Sun, Tong Wu, Baian Chen, Zikang Li, Qiuyang Lu, Lu Lu, Hon Ho Wong, Cheuk Hei Chan, Bolong Huang   +8 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

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

Polynomial supersymmetry for matrix Hamiltonians: proofs

, 2018
In this paper we continue studying of matrix $n\times n$ linear differential intertwining operators. The problems of minimization and of reducibility of matrix intertwining operators are considered and criterions of weak minimizability and of regular reducibility are proven.
openaire   +2 more sources

An Alternative Approach to Spontaneous Photon Triplets Generation

Advanced Physics Research, EarlyView.
Day by day, communication and computing technologies are progressing at a lightning speed, which is particularly true of the quantum version of these technologies (QIST). Increasingly, these technologies are emerging from unusual and sometimes bewildering quantum optical effects, which are based on exotic quantum physical theories.
Serge Gauvin
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

Regional Shopping Objectives in British Grocery Retail Transactions Using Segmented Topic Models

Applied Stochastic Models in Business and Industry, EarlyView.
ABSTRACT Understanding the customer behaviours behind transactional data has high commercial value in the grocery retail industry. Customers generate millions of transactions every day, choosing and buying products to satisfy specific shopping needs.
Mariflor Vega Carrasco, Mirco Musolesi, Jason O'Sullivan, Rosie Prior, Ioanna Manolopoulou   +4 more
wiley   +1 more source