Results 161 to 170 of about 57,909 (296)
ABSTRACT The accelerating expansion of data‐centric technologies is sharply increasing the energy burden of information storage, placing unprecedented pressure on the efficiency of magnetic switching. Conventional field‐driven reversal, once the foundation of magnetic memory, has become impractical in modern architectures due to its high energy cost ...
Mohammad H. Badarneh +2 more
wiley +1 more source
Distinct representational properties of cues and contexts shape fear and reversal learning. [PDF]
Bouyeure A +6 more
europepmc +1 more source
Controlling the protein corona formation onto carbon nanomaterials (CNMs) enhances their functionalities as platforms for cancer theranostics. Here, we reviewed the effects of the intrinsic and acquired properties of CNMs on protein corona formation, the consequent biological and toxicological outcomes, and the strategies to reshape corona formation ...
Yajuan Zou +5 more
wiley +1 more source
Development of visual-stimulus reversal learning-memory in mice is dependent on social interaction. [PDF]
Wicki S +5 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
Tech professionals often pursue the newest innovations. However, achieving true mastery can require revisiting foundational concepts. In this article, the author explains how their work on AI/ML for 5G/6G revealed the importance of core telecom knowledge.
openaire +2 more sources
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
Lateralized nigrostriatal dopamine pathway activation promotes early reversal learning. [PDF]
Fleps SW +5 more
europepmc +1 more source
Serial reversal learning in an olfactory discrimination task in 3xTg-AD mice. [PDF]
Roddick KM, Schellinck HM, Brown RE.
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

