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Abstract A data‐driven emulator for the baroclinic double gyre ocean simulation is presented in this study. Traditional numerical simulations using partial differential equations (PDEs) often require substantial computational resources, hindering real‐time applications and inhibiting model scalability. This study presents a novel approach employing Fourier neural operators to address these challenges in an idealized double‐gyre ocean simulation. We propose a deep learning approach capable of learning the underlying dynamics of the ocean system, complementing the classical methods. Additionally, we show how Fourier neural operators allow us to train the network at one resolution and generate ensembles at a different resolution. We find that there is an intermediate time scale where the prediction skill is maximized. 

Sensory extensions enhance our awareness by transforming variations in stimuli normally undetectable by human senses into perceivable outputs. Similarly, interactive simulations for learning promote an understanding of abstract phenomena. Combining sensory extension devices with interactive simulations gives users the novel opportunity to connect their sensory experiences in the physical world to computer-simulated concepts. We explore this opportunity by designing a suite of wearable sensory extension devices that interface with a uniquely inclusive PhET Simulation, Ratio and Proportion. In this simulation, two hands can be moved on-screen to various values, representing different mathematical ratios. Users explore changing hand heights to find and maintain ratios through visual and auditory feedback. Our sensory extension devices translate force, distance, sound frequency, and magnetic field strength to quantitative values in order to control individual hands in the computer simulation. This paper describes the design of the devices and our analysis of feedback from 23 high-school aged youth who used our designs to interact with the Ratio and Proportion simulation. 

E-textiles, which embed circuitry into textile fabrics, blend art and creative expression with engineering, making it a popular choice for STEAM classrooms [6, 12]. Currently, e-textile development relies on tools intended for traditional embedded systems, which utilize printed circuit boards and insulated wires. These tools do not translate well to e-textiles, which utilize fabric and uninsulated conductive thread. This mismatch of tools and materials can lead to an overly complicated development process for novices. In particular, rapid prototyping tools for traditional embedded systems are poorly matched for e-textile prototyping. This paper presents the ThreadBoard, a tool that supports rapid prototyping of e-textile circuits. With rapid prototyping, students can test circuit designs and identify circuitry errors prior to their sewn project. We present the design process used to iteratively create the ThreadBoard’s layout, with the goal of improving its usability for e-textile creators.