Results 201 to 210 of about 15,697,207 (237)
Artificial Intelligence in Sports Medicine: A Decision-Centered Framework for the Future Sports Physician. [PDF]
Palermi S +11 more
europepmc +1 more source
Correlated Charge Transport in an Organic Coulomb Glass
ABSTRACT Advances in the development of organic field‐effect transistors (OFETs), electrically gated organic semiconductors (EGOFETs), and organic electrochemical transistors (OECTs) allow for the operation of these devices at very high charge‐carrier densities, where Coulomb interactions between carriers can be expected to become significant.
Magdalena Sophie Dörfler +3 more
wiley +1 more source
OSI Stack Redesign for Quantum Networks: Requirements, Technologies, Challenges, and Future Directions. [PDF]
Ahmed S +6 more
europepmc +1 more source
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 +8 more
wiley +1 more source
Multi-Output Probabilistic Prediction of Drug Side Effects Using Classical Machine Learning Algorithms. [PDF]
Quiguango Farias D +3 more
europepmc +1 more source
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
Neural Probabilistic Circuits: Enabling Compositional and Interpretable Predictions Through Logical Reasoning. [PDF]
Chen W, Yu S, Shao H, Sha L, Zhao H.
europepmc +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
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 +3 more
wiley +1 more source
An interpretable generative probabilistic framework for demand characterization and consistency checking in dock-based bicycle-sharing systems: the case of BiciMad. [PDF]
Vallez CM, Contreras D, Castro M.
europepmc +1 more source

