Physical Design Engineer
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Related Articles from SNS
Two Paths to Learning Physics: How Games and Simulations Shape Physics Learning Among Physics and Engineering Students
arXiv:2606.03622v1 Announce Type: new Abstract: The use of digital tools like educational video games and interactive simulations is of great importance to physics education. This study investigates the sequencing effects of an educational game, 'Photon Jump' and PhET Photoelectric Effect simulation on students' perception of such tools for learning about the photoelectric effect.
IDDMBSE: Integrating Data-Driven and Model-Based Systems Engineering for Trusted Autonomous Cyber-Physical Systems
arXiv:2606.06727v1 Announce Type: new Abstract: Autonomous cyber-physical systems (CPS) sit at the intersection of Model-Based Systems Engineering (MBSE) and data-driven Machine Learning and Artificial Intelligence (ML/AI), yet no integrated Systems Engineering (SE) methodology natively spans both. We address this gap with IDDMBSE, an Integrated Data-Driven and Model-Based Systems Engineering methodology that extends the rigorous MBSE V-process with a data-driven loop at every step, anchored...
Federal data on H-1B visa reveals how much base pay Nvidia offers its employees
Federal data on H-1B visas reveals how much Nvidia is paying foreign workers across key roles, underscoring the chipmaker’s determination to attract top talent despite a broader slowdown in tech immigration, according to a report by Business Insider. While rivals like Google and Amazon have back on sponsorship amid the Trump administration’s crackdown, Nvidia obtained certification for roughly 1,200 H‑1B positions in the first half of fiscal 2026 which is up from 1,000 a year earlier. As per...
AIM: A practical approach to automated index management for SQL databases
arXiv:2605.31406v1 Announce Type: new Abstract: This paper describes AIM (Automatic Index Manager), a configurable index management system, which identifies impactful secondary indexes for SQL databases to efficiently use available resources such as CPU, I/O and storage. It has been validated on thousands of databases which support production systems. With AIM, the physical design of the database adapts itself to the changes in the workload.
Oscillatory State-Space Models as Inductive Biases for Physics-Informed Neural PDE Solvers
arXiv:2606.02623v1 Announce Type: new Abstract: Solving time-dependent partial differential equations (PDEs) is an important problem in computational science and engineering. Physics-informed neural networks (PINNs) learn PDE solutions from governing equations. However, accurately capturing temporal evolution remains challenging.
Flow Learners for PDEs: Toward a Physics-to-Physics Paradigm for Scientific Computing
arXiv:2604.07366v2 Announce Type: replace Abstract: Partial differential equations (PDEs) govern nearly every physical process in science and engineering, but solving them at scale remains prohibitively expensive. Generative AI has transformed language, vision, and protein science, but learned PDE solvers have not undergone a comparable shift. Existing paradigms each capture part of the problem.
Symbolic Intermediaries as a Linguistic-Numerical Interface for LLM-Driven Geometric Reasoning
arXiv:2505.17607v3 Announce Type: replace Abstract: Large Language Models (LLMs) display reasoning capabilities over linguistic and symbolic objects but have limited capabilities to directly interpret the continuous numerical outputs of physics simulators, e.g., distances, curvatures, and trajectories that resist discrete tokenisation. Across spatially grounded engineering reasoning tasks, from mechanism design to motion planning, this defines a fundamental gap, which limits the wider...
Meet Argus: The sea-urchin robot with 20 eyes and legs
Most robots are built to look like something. Engineers designing machines to navigate the real world have, for decades, reached for the same reference points: the human skeleton, the dog's four-legged trot, the insect's crawl. These biological templates have produced impressive machines, but they carry an embedded assumption that a robot needs a front, a back, and a preferred direction of travel.
Geometry-Aware Anisotropic Boundary Correction for Aerodynamic Simulation
arXiv:2606.09963v1 Announce Type: new Abstract: Aerodynamic simulation is a key component of engineering shape design, where core quantities such as the surface pressure coefficient strongly depend on flow dynamics near solid boundaries. Neural operators provide an efficient alternative to expensive Computational Fluid Dynamics (CFD) solvers. However, conventional methods treat the boundary region isotropically, failing to account for the distinct physical behaviors along the boundaries.
A disappearing Service Processor (2025)
One of the considerations in designing our Oxide rack is asking which parts we expect to be accessible and by what means. The Oxide rack is designed to live in a data center with exclusive access via the network. The only reason an engineer should ever need to physically visit a rack is to replace a failing part, such as a disk.