Integration of Reconfigurable p‐Bit and 1R Crossbar Array for Memristive Probabilistic Computing
A memristive probabilistic computing system is demonstrated by integrating stochastic p‐bits based on volatile memristors with a 1R crossbar array encoding interaction weights. The system performs weighted‐sum operations across the array and updates p‐bits iteratively.
Keunho Soh +7 more
wiley +1 more source
Stochastic delay derivatives of Newcastle disease application in epidemic model: Stability analysis and approximation. [PDF]
Shahid N +5 more
europepmc +1 more source
HfO2‐based ferroelectrics exhibit wake‐up and fatigue behaviors during electrical cycling, significantly affecting device endurance and reliability. These phenomena are governed by defect dynamics, including oxygen vacancy redistribution and charge trapping.
Hongseok Kim +6 more
wiley +1 more source
Information-geometric optimization of transient dynamics in gene regulatory networks. [PDF]
Bravetti A +3 more
europepmc +1 more source
Stochastic Entanglement of Deterministic Origami Tentacles For Robust Robotic Grasping
This study introduces an origami tentacle gripper to robustly grasp objects‐in air, underwater, and even in orbital space‐by exploiting a synergy between local, deterministic deformation programming and global, stochastic entanglements. A single origami tentacle can be designed to coil with a simple tendon pull.
Alec Boron +4 more
wiley +1 more source
A magneto‐ionic security‐by‐materials‐design strategy exploits voltage‐driven N3– migration in selectively contacted FeCoN dots, creating reconfigurable sub‐15 nm ferromagnetic sublayers with deterministic and/or probabilistic (single‐domain↔vortex) states, voltage‐tunable probabilities and fully stochastic orientation/chirality.
Irena Spasojevic +4 more
wiley +1 more source
How AI Can Advance Mathematical Biology: Opportunities, Challenges, and Future Directions. [PDF]
Rabiei K +3 more
europepmc +1 more source
Physics‐Aware Machine‐Learning‐Driven Inverse Design of Broadband Ultra‐Open Acoustic Metamaterials
A physics‐aware machine‐learning framework enables inverse design of ultra‐open acoustic silencers by decoupling spectral and radial design spaces. The approach rapidly identifies broadband, compact, and highly ventilated architectures, while revealing hidden linear design rules that link geometry, impedance matching, and acoustic performance.
Zhiwei Yang +5 more
wiley +1 more source
A Liouville dynamical modelling and control framework for oesophageal cancer-induced immune response. [PDF]
Roy S +10 more
europepmc +1 more source
Numerical characterization of noisy fluctuations in two different types of stochastic differential equation models of neural signaling [PDF]
Manninen T +3 more
europepmc +1 more source

