Results 141 to 150 of about 7,274,740 (262)

Quantum-enhanced deep learning models for automated defect detection in materials. [PDF]

Front Artif Intell
Garg A, Sushibine S, Choudhuri D, Anand S, Vijitha P H, Vinita L J, A K P, Mishra V, Stephan T.   +8 more
europepmc   +1 more source

Correction: Convergence theorem for fixed point and split generalized variational inclusion problems with multiple output sets in Banach spaces [PDF]

Olawale Kazeem Oyewole, Hammed Anuoluwapo Abass, Kazeem Olalekan Aremu, Morufu Oyedunsi Olayiwola   +3 more
openalex   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Quasi-variational inequality formulation of the mixed equilibrium in multiclass routing games [PDF]

In the modeling of competition on networks it is usually assumed that users either behave following the Wardrop equilibrium or the Nash equilibrium concept.
SCRIMALI, Laura
core  

Physics-Informed Machine Learning Correction of Variational Quantum Eigensolver Energies for Molecular Ground States. [PDF]

ACS Omega
Sree KCS, Shankar V.
europepmc   +1 more source

When Poor Exciton Dissociation Limits Photocurrents in Organic Solar Cells: Why Low Offset Non‐Fullerene Acceptor Blends Can't Be Efficient

Advanced Materials, EarlyView.
The energetic offset between the donor and the acceptor components in organic photoactive layers is central to the tradeoff between photovoltage and photocurrent losses. This Perspective covers the most important issues surrounding this topic in non‐fullerene acceptor blends, from the difficulty of accurately determining state energies and driving ...
Dieter Neher, Manasi Pranav
wiley   +1 more source

Unsupervised deep learning for inverse problems in computed tomography. [PDF]

BMC Med Imaging
Hellwege L, Engster JC, Schaar M, Buzug TM, Stille M.   +4 more
europepmc   +1 more source

Tseng-type algorithms for solving variational inequalities over the solution sets of split variational inclusion problems with an application to a bilevel optimization problem [PDF]

openalex   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

A hybrid deep learning and quantum computing framework enhances cybersecurity threat detection and analysis. [PDF]

Sci Rep
Abdel-Aty AH, Farsi M, Hafez M, Voon BW.
europepmc   +1 more source