Results 241 to 250 of about 11,667,970 (301)
Ferroelectric Devices for In‐Memory and In‐Sensor Computing
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang +5 more
wiley +1 more source
Stochastic Difference-Dedicated Configuration Interaction for Magnetic Exchange in Large Active Spaces. [PDF]
Bonfirraro L +4 more
europepmc +1 more source
This work provides a practical guide for neuroengineers to design advanced neural interfaces, embracing and tailoring the concept of functional disorder. By bridging 2D and 3D in vitro models, this work highlights how non‐periodic, spatially heterogeneous, multiscale nanotopography can enable more physiologically relevant platforms for studying neural ...
F. Maita +4 more
wiley +1 more source
Chaotic and Stochastic Components in an Influenza Surveillance Series: Nonlinear Dynamics and Predictive Modeling Study. [PDF]
Goncalves CPDS, Rouco C.
europepmc +1 more source
Exact Discrete Stochastic Simulation With Deep-Learning-Scale Gradient Optimization. [PDF]
Vilar JMG, Saiz L.
europepmc +1 more source
Identifiable learning of dissipative dynamics. [PDF]
Zhu A, Soh BW, Pavliotis GA, Li Q.
europepmc +1 more source
Physics-informed Koopman learning approach for fixed-time synchronization of stochastic neural dynamics. [PDF]
P M, Mani P.
europepmc +1 more source
Nuclear Gradients from Auxiliary-Field Quantum Monte Carlo and Their Applications in ML-Driven Geometry Optimization and Transition State Search. [PDF]
Kurian JS, Mahajan A, Sharma S.
europepmc +1 more source

