In the race to develop safer, faster-charging solid-state batteries and more efficient thermoelectric conversion technologies, engineers and scientists have long faced a fundamental challenge: how to ...

ABSTRACT: Effectively detecting subtle surface defects in strip steel is vital for industrial quality assurance; however, most existing approaches fail to strike an optimal balance between accuracy ...

Abstract: Surface defect recognition (SDR) with limited data is a common challenge in industrial production. Recent methods generally utilize generative adversarial networks (GANs) to generate defect ...

Abstract: The task of steel surface defect recognition is an industrial problem with great industry values. The data insufficiency is the major challenge in training a robust defect recognition ...

The diffusion model used in this project is based on the classic ddpm introduced in the paper "Denoising Diffusion Probabilistic Models". We named this project IDDM: Industrial Defect Diffusion Model.

The crystal packing of organic chromophores has a profound impact on their photophysical properties. Molecular crystal engineering is generally incapable of producing precisely spaced arrays of ...

Different diffusivities among interacting substances actualize the potential instability of a system. When these elicited instabilities manifest as forms of spatial periodicity, they are called Turing ...

We present how the ordered and disordered arrangement of elements can affect the transport properties of point defects in Ni–Fe metallic alloys using atomistic simulations. With molecular dynamics (MD ...

ABSTRACT: The burnable poison Gadolinium oxide was incorporated into UO2 in two of the 36 elements of the fuel assembly in the reload fuel of BWR Units I & II of Tarapur Atomic Power Station. This ...