Extracting the interfacial free energy and anisotropy from a smooth fluctuating dividing surface

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Deep-learning-based digital twins (DDT) are a promising tool for data-driven system health management because they can be trained directly on operational data. A major challenge for efficient training however is that industrial datasets remain unlabeled. T ...

We demonstrate the beneficial effect of a pre-annealing step prior to the boron diffusion on passivation and contact resistivity of industrially LPCVD deposited poly-Si/SiOX hole-selective contacts. We investigate the influence of the pre-annealing tempera ...

The complex mechanics of porous and granular media play a significant role in various industrial processes and natural phenomena. As an example, understanding the mechanics of how failure occurs, localizes and propagates in porous brittle solids under vari ...

The log law of the wall, joining the inner, near-wall mean velocity profile (MVP) in wall-bounded turbulent flows to the outer region, has been a permanent fixture of turbulence research for over hundred years, but there is still no general agreement on th ...

This thesis is dedicated to the analysis of a subclass of interfacial flows, columnlike free-interface flows, from two view angles: (i) the symmetry breaking under geometry-induced or external forces, (ii) their stability against infinitesimal disturbances ...

Acoustic emission (AE) monitoring is commonly used to inspect the health of a structure continuously. During fracture processes elastic waves of AE are created and emitted, and sensors can capture these waves. The acquired signals can be processed to track ...

Computing light reflection from rough surfaces is an important topic in computer graphics. Reflection models developed based on geometric optics fail to capture wave effects such as diffraction and interference, while existing models based on physical opti ...

Effective properties of materials with random heterogeneous structures are typically determined by homogenising the mechanical quantity of interest in a window of observation. The entire problem setting encompasses the solution of a local PDE and some aver ...

Identifying multitarget impurities on contact lenses is challenging because traditional methods such as polymerase chain reaction cannot be used on the unknown target. Other sampling methods often require expensive antibodies or dyes. Therefore, this resea ...

Enhanced sampling techniques have become an essential tool in computational chemistry and physics, where they are applied to sample activated processes that occur on a time scale that is inaccessible to conventional simulations. Despite their popularity, i ...

Extracting the interfacial free energy and anisotropy from a smooth fluctuating dividing surface

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A Study on Gradient-based Meta-learning for Robust Deep Digital Twins

Pre-annealing for improved LPCVD deposited boron-doped poly-Si hole-selective contacts

Modeling the mechanics and rheology of porous and granular media: an elastoplastic continuum approach

The hunt for the Karman 'constant' revisited

Columnlike free-interface flows: symmetry breaking and linear instability

Automatic and high-precision microseismic monitoring of progressive failure prior, during, and after tunnel excavation

A Full-Wave Reference Simulator for Computing Surface Reflectance

DeepBND: A machine learning approach to enhance multiscale solid mechanics

In situ detection of multitarget impurities on contact lens by electrochemical scanning probe

Global Free-Energy Landscapes as a Smoothly Joined Collection of Local Maps