Results 241 to 250 of about 441,484 (365)
Designing Memristive Materials for Artificial Dynamic Intelligence
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley +1 more source
Hyperfiniteness and Borel asymptotic dimension of boundary actions of hyperbolic groups. [PDF]
Naryshkin P, Vaccaro A.
europepmc +1 more source
A Difference Property for Polynomials and Exponential Polynomials on Abelian Locally Compact Groups [PDF]
F. W. Carroll
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Applied Artificial Intelligence in Materials Science and Material Design
AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel+7 more
wiley +1 more source
Villain Action in Lattice Gauge Theory. [PDF]
Chevyrev I, Garban C.
europepmc +1 more source
The automorphism group of a locally compact group
openaire +2 more sources
Near‐infrared reservoir computing system has been realized by using α‐In2Se3 optoelectronic device with concise device and algorithm architecture, achieving high accuracy near 100% and noise robustness in face recognition tasks. These findings demonstrate 2D ferroelectric device‐based optoelectronic RC system as a compact and efficient computing ...
Wenyu Songlu+15 more
wiley +1 more source
Comparison theorems on H-type sub-Riemannian manifolds. [PDF]
Baudoin F+3 more
europepmc +1 more source