Results 231 to 240 of about 41,294 (296)

Gait Analysis of Pak Biawak: A Necrobot Lizard Built using the Skeleton of an Asian Water Monitor (Varanus Salvator)

open access: yesAdvanced Robotics Research, EarlyView.
Pak Biawak, a necrobot, embodies an unusual fusion of biology and robotics. Designed to repurpose natural structures after death, it challenges conventional boundaries between nature and engineering. Its movements are precise yet unsettling, raising questions about sustainability, ethics, and the untapped potential of biointegrated machines.
Leo Foulds   +2 more
wiley   +1 more source

Backpropagation Through Soft Body: Investigating Information Processing in Brain–Body Coupling Systems

open access: yesAdvanced Robotics Research, EarlyView.
This study explores how information processing is distributed between brains and bodies through a codesign approach. Using the “backpropagation through soft body” framework, brain–body coupling agents are developed and analyzed across several tasks in which output is generated through the agents’ physical dynamics.
Hiroki Tomioka   +3 more
wiley   +1 more source

Quantum Security of Nonce-Based Encryption. [PDF]

open access: yesEntropy (Basel)
Mao S, Wang P, Jia Y, Liu G, Liu B.
europepmc   +1 more source

Techno‐Economic Analysis of Polylactic Acid from Corn Stover: Understanding Uncertainty and Variability via Artificial Intelligence Tools

open access: yesAdvanced Sustainable Systems, EarlyView.
This study analyses the uncertainty and variability existing in the economic performance of polylactic acid (PLA) production, via integrating techno‐economic analysis with process models and Monte Carlo simulation enabled by artificial intelligence. The results show that the minimum selling price varies from $2,107 to $3076/t PLA.
Yinqiao Wang   +5 more
wiley   +1 more source

Data‐Driven Multi‐Objective Optimization of Large‐Diameter Si Floating‐Zone Crystal Growth

open access: yesAdvanced Theory and Simulations, EarlyView.
This study presents a surrogate‐based Multi‐Objective Optimization framework for Floating Zone silicon crystal growth. An ensemble of Neural Networks is trained on simulation data and combined with Genetic Algorithms to explore trade‐offs in process parameters.
Lucas Vieira   +3 more
wiley   +1 more source

Using Bayesian Optimization to Increase the Efficiency of III‐V Multijunction Solar Cells

open access: yesAdvanced Theory and Simulations, EarlyView.
Technology Computer Aided Design (TCAD) modeling is crucial for designing complex optoelectronic devices like III‐V multijunction solar cells. Bayesian optimization is proposed as a robust method to address challenges in optimizing costly black‐box TCAD solvers.
Pablo F. Palacios, Carlos Algora
wiley   +1 more source

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