Results 91 to 100 of about 31,922 (257)
We demonstrate a neuromorphic synapse in 2D Fe3GaTe2 flakes. The device operates via a current‐driven transformation from a skyrmion‐lattice to a stripe‐domain state, yielding a linear anomalous Hall resistance response with a tunable slope to enable multiply‐accumulate operations. Simulations confirm its viability in artificial neural networks.
Jixiang Huang +20 more
wiley +1 more source
Azobenzene photoswitches translate molecular‐scale E/Z photoisomerization into macroscopic material responses and device‐level photonic functions. This Review highlights how azobenzene research has evolved from molecular photochemistry to photoalignment, mass migration, photomechanics, and heat release, ultimately enabling holography, reconfigurable ...
Heeju Son +20 more
wiley +1 more source
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
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
ZrO2-based antiferroelectric (AFE) materials exhibit superior endurance compared to HfO2-based ferroelectrics, making them promise for nanoelectronics.
Haoji Qian +14 more
doaj +1 more source
The evolution of the cell phone from a "simple" wireless phone to a port able multimedia station is a prime example of the paradigm shift in mode rn day electronics. Applications evolve towards more mobility and more multimedia. This requires an increase in power efficiency of the electronic systems as battery power is limited.
openaire +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
The growing computation complexity arising from recent advancements in data similarity‐based artificial intelligence and machine learning algorithms has amplified the demand for specialized hardware accelerators, such as ternary content‐addressable ...
Hyeong Jun Seo +5 more
doaj +1 more source
Path‐decoupled III–V van der Waals memtransistors spatially separate ionic and electronic transport to overcome the conventional trade‐off between accuracy and energy in neuromorphic hardware. Mobile K+ ions in the vdW gaps set a wide conductance window, Gmax/Gmin, while gate‐tunable hole conduction lowers programming energy, enabling reliable ...
Jihong Bae +13 more
wiley +1 more source
Field-free spin–orbit torque switching enabled by controllable domain wall chirality
Driven by the exponential growth of artificial intelligence, the internet of things, and cloud computing, the surge in global data generation has intensified the demand for memory technologies that offer high density, ultrafast operation, and low power ...
Peiyue Yu +16 more
doaj +1 more source

