Results 151 to 160 of about 23,653 (255)

Generalization in quantum machine learning from few training data. [PDF]

Nat Commun, 2022
Caro MC, Huang HY, Cerezo M, Sharma K, Sornborger A, Cincio L, Coles PJ.   +6 more
europepmc   +1 more source

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

Advanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai, Ri He, Junxian Liu, Liangzhi Kou   +3 more
wiley   +1 more source

A quantum machine learning-based predictive analysis of CERN collision events. [PDF]

Sci Rep
Tripathi S, Upadhyay H, Soni J.
europepmc   +1 more source

BIGDML-Towards accurate quantum machine learning force fields for materials. [PDF]

Nat Commun, 2022
Sauceda HE, Gálvez-González LE, Chmiela S, Paz-Borbón LO, Müller KR, Tkatchenko A.   +5 more
europepmc   +1 more source

Interfacial Control in Cu–MXene Hybrids Enables Selective NOx‐to‐NH3 Electroconversion: A Critical Review

Advanced Science, EarlyView.
Cu‐MXene interfacial catalysts provide a promising platform for electrochemical NOx upcycling to ammonia. The synergy between Cu active sites and conductive, surface‐tunable MXene supports promotes NOx adsorption, intermediate stabilization, and selective NH3 formation while suppressing competing hydrogen evolution, offering a route toward sustainable ...
Hafiz Muhammad Adeel Sharif, Gechuanqi Pan, Yuwei Wang, Yasir Abbas, Asif Mahmood, Changping Li   +5 more
wiley   +1 more source

Quantum AI for psychiatric diagnosis: enhancing dementia classification with quantum machine learning. [PDF]

Front Psychiatry
Amin J, Ali MU, Islam MZ, Lee SW.
europepmc   +1 more source

Hybrid classical-quantum machine learning based on dissipative two-qubit channels. [PDF]

Sci Rep, 2022
Ghasemian E, Tavassoly MK.
europepmc   +1 more source

Non‐Noble Metal Nanocatalysts for Hydrogen Evolution

Advanced Science, EarlyView.
Recent overviews and latest developments of diverse classes of non‐noble catalysts for application toward high‐performance photocatalysis, thermocatalytic steam reforming, and electrocatalysis. Toward sustainability objectives, several advanced characterization tools in combination with the latest breakthroughs in machine learning for material ...
Lina Jaya Diguna, Gede Herry Arum Wijaya, Md Abdul Kuddus Sheikh, Tobias Haposan, Fidelis Stefanus Hubertson Simanjuntak, Arramel Arramel, Muhammad Danang Birowosuto, Konstantin Sergeevich Novoselov   +7 more
wiley   +1 more source

Ascertaining Susceptibilities in Smart Contracts: A Quantum Machine Learning Approach. [PDF]

Entropy (Basel)
Sridhar A, Nagaraj K, Bangalore Ravi S, Kurup S.   +3 more
europepmc   +1 more source

Quantum Machine Learning for Distributed Quantum Protocols with Local Operations and Noisy Classical Communications. [PDF]

Entropy (Basel), 2023
Chittoor HHS, Simeone O.
europepmc   +1 more source