Results 61 to 70 of about 13,414 (259)
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
Data‐Driven Materials Science for Energy‐Sustainable Applications
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
This work prototypes a carbon nanotube‐based analog tensor core that performs in‐memory, parallel visual processing. Integrating non‐volatile memories and compact circuits, the core enables high‐speed analog matrix multiplications and can demonstrate accurate three dimensional (3D) spatial transformation and edge detection. With lightweight design, the
Jingfang Pei +11 more
wiley +1 more source
Iterative Selection of DNA Nanostructures for Cellular Uptake
DNA nanostructures are promising cell targeting delivery vehicles for therapeutics, but the targeting behavior is not fully understood. In this study, libraries of DNA nanostructures that can be amplified and sequenced are combined with cellular uptake as a selection pressure to iteratively refine DNA structures taken up in cells to better understand ...
Anjali Rajwar +4 more
wiley +1 more source
Delay-universal decode-and-forward relaying
We study delay-universal sequential streaming over discrete memoryless three-terminal relay networks, and propose a decode-and-forward relaying scheme. We derive upper bounds on the error performance of the proposed system, which assists in system design and analysis.
Khoa D. Nguyen, Lars K. Rasmussen
openaire +2 more sources
On‐Chip Photonic Neural Network Architectures
This review presents a comprehensive overview of on‐chip photonic neural network architectures, covering key photonic building blocks, representative network types, and emerging applications. Recent advances, implementation challenges, and future directions are examined, highlighting the potential of integrated photonics to enable ultrafast, energy ...
Seokjin Hong +7 more
wiley +1 more source
Linearly polarized incident light with normal incidence creates enhanced optical chirality hotspots on the metasurface. Several orders of magnitude optical chirality enhancement offers a promising route toward highly sensitive, compact chiral spectroscopy.
Anastasia Romashkina +10 more
wiley +1 more source
On the Performance of Decode-and-Forward Equal-Gain-Combining Relay Systems over Weibull Fading Channels. [PDF]
Tilleria Lucero P +3 more
europepmc +1 more source
Half-Duplex Decode-Partial-Forward
We propose a new transmission scheme, which we call Decode-Partial-Forward (DPF), for orthogonal half-duplex relay channels. We demonstrate that the DPF scheme achieves significantly higher rates than the conventional DF scheme that is based on repetition coding and it performs close to the capacity bounds of DF relaying.
Mohammad Shaqfeh, Hussein M. Alnuweiri
openaire +2 more sources
Information Transmission Strategies for Self‐Organized Robotic Aggregation
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng +5 more
wiley +1 more source

