Scientists are blending physics-informed AI with supercomputing to model plasma turbulence more accurately and efficiently. These breakthroughs could improve predictions for fusion reactors, ...

Assist in the design and physical layout of SiPh device characterisation structures. Development of automation flow and ...

Check out the latest stories, videos, and podcasts from the week of Apr. 27, 2026. Though I’ve recommended that you avoid ...

Abstract: This article proposes a novel physics informed intelligent thermal model (PIITM) for silicon carbide (SiC) power modules, offering interpretability and generalization compared to traditional ...

AI video generation is becoming a table-stakes feature for modern digital platforms. The developers who integrate it now are ...

Python’s dominance in AI development is reinforced by its simplicity, vast libraries, and adaptability across machine learning, deep learning, and large language model applications. New tutorials, ...

Look beyond the silver surface of Apple's latest and you'll see the M5 Pro MacBook Pro is portability made properly powerful.

HiPhyEngine brings FEM and MPM simulation to Blender with a unified solver, plus a 180 day trial for evaluation.

Designing quantum experiments Left: the AI takes the first three from a class of target quantum states and produces a Python ...

Abstract: A physics-data-driven economic model predictive control (EMPC) is proposed in this article for effective energy harvesting in wave energy converters (WECs). By combining artificial ...

Predicting material properties remains a major challenge in materials science, as it often requires complex and computationally intensive calculations. In particular, understanding how materials ...

AI is reshaping how India's students learn, offering instant, personalized help that challenges edtech’s paid models and traditional tutor-led approaches. Top edtechs are adapting, as the shift ...