Results 141 to 150 of about 22,065,045 (278)
A Generative Neuro‐Symbolic AI for Protein Sequence Design
Advanced Science, EarlyView.We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne +12 more
wiley +1 more source
Integration of Reconfigurable p‐Bit and 1R Crossbar Array for Memristive Probabilistic Computing
Advanced Science, EarlyView.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
Advanced Science, EarlyView.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
Testing for Stochastic Dominance with Diversification Possibilities [PDF]
We derive empirical tests for stochastic dominance that allow for diversification betweenchoice alternatives. The tests can be computed using straightforward linearprogramming.
Post, G.T.
core
Stochastic Entanglement of Deterministic Origami Tentacles For Robust Robotic Grasping
Advanced Science, EarlyView.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
Advanced Science, EarlyView.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
Ecological drivers of the colon cancer microbiome: evidence for niche-based selection over stochastic colonization. [PDF]
Front OncolSu W, Ma ZS.
europepmc +1 more source
A Stochastic Dominance Approach to Spanning [PDF]
We develop a Stochastic Dominance methodology to analyze if new assets expand theinvestment possibilities for rational nonsatiable and risk-averse investors.
Post, G.T.
core
Physics‐Aware Machine‐Learning‐Driven Inverse Design of Broadband Ultra‐Open Acoustic Metamaterials
Advanced Science, EarlyView.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
Stochastic programming models and methods for portfolio optimization and risk management
, 2012 This project is focused on stochastic models and methods and their application in portfolio optimization and risk management. In particular it involves development and analysis of novel numerical methods for solving these types of problem.
Meskarian, Rudabeh
core +1 more source