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Atomistic simulation in powder technology : from growth control and dispersion stabilization to segregation at doped interfaces

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Statistical (machine-learning, ML) models are more and more often used in computational chemistry as a substitute to more expensive ab initio and parametrizable methods. While the ML algorithms are capable of learning physical laws implicitly from data, ad ...

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Large-cage occupation and quantum dynamics of hydrogen molecules in sII clathrate hydrates

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Hydrogen clathrate hydrates are ice-like crystalline substances in which hydrogen molecules are trapped inside polyhedral cages formed by the water molecules. Small cages can host only a single H-2 molecule, while each large cage can be occupied by up to f ...

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Surface segregation in high-entropy alloys from alchemical machine learning

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Single-Mode Laser in the Telecom Range by Deterministic Amplification of the Topological Interface Mode

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Roughness Evolution Induced by Third-Body Wear

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Surface roughness is a key factor when it comes to friction and wear, as well as to other physical properties. These phenomena are controlled by mechanisms acting at small scales, in which the topography of apparently flat surfaces is revealed. Roughness i ...

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Laser-based mid-infrared (mid-IR) photothermal spectroscopy (PTS) represents a selective, fast, and sensitive analytical technique. Recent developments in laser design permits the coverage of wider spectral regions in combination with higher power, enablin ...

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Study of growth-induced point defects and their impact on InGaN-based optoelectronic devices

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GaN exhibits a decomposition tendency for temperatures far below its melting point and common growth temperatures used in metal-organic vapour phase epitaxy (MOVPE).This characteristic is known to be a major obstacle for realising GaN bulk substrate. There ...

EPFL2024