Results 201 to 210 of about 16,686,076 (335)

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

Behavioral Modeling of Dynamic Nonlinear Distortions in 5G Wireless Transmitters Using Cascaded Augmented Real-Valued Neural Networks. [PDF]

Sensors (Basel)
Bankole S, Alnajjar R, Ahmed M, Bensmida S, Hammi O.   +4 more
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

Risk Prediction of Acute Kidney Injury in Patients with HBV-Related Acute-on-Chronic Liver Failure. [PDF]

Int J Gen Med
Yurong Z, Caixia Z, Yimin Z, Jianhang S, Xiulan X.   +4 more
europepmc   +1 more source

jmjuarezf/nonlinear-model-identification-using-lstm: v1.0.0

jmjuarezf
openalex   +2 more sources

In-Context System Identification for Nonlinear Dynamics Using Large Language Models [PDF]

Linyu Lin
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

Scaling Gaussian Processes for Deterministic Model Predictive Control with Online Updates: A Framework for Model Selection and Re-identification in Process Control. [PDF]

Ind Eng Chem Res
Fouts MW, Mebane DS, Lima FV.
europepmc   +1 more source

Nonlinear Parameter Identification and Optimization Model of Photovoltaic Module Power Generation Performance in Low Light in the Morning

Chuang Yuan, Liang Xu, Zhikang Pei, Hu Yang, Xiaofei Li   +4 more
openalex   +1 more source

Why Is the Mechanism Underlying the Chiral‐Induced Selectivity Effect Still Challenging?

Advanced Materials, EarlyView.
The chiral‐induced spin selectivity (CISS) effect is observed in many experimental configurations and for different materials. However, there are theoretical challenges in attempting to explain those results. A qualitative framework for explaining all the results is presented.
Ron Naaman, Yossi Paltiel
wiley   +1 more source