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Maximum-energy records in glassy energy landscapes

Publications associées (29)

Computational fluid dynamics simulations of the heat transfer properties of graphene-based nanolubricants and application to hydrodynamic lubrication

In this paper, we consider experimental data available for graphene-based nanolubricants to evaluate their convective heat transfer performance by means of computational fluid dynamics (CFD) simulations. Single-phase models with temperature-dependent prope ...

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The aluminium sector relies on natural gas for the conversion of recycled scrap into new feedstock, which results in substantial atmospheric emissions. Hydric resources are also impacted, as they serve as heat sinks for the waste heat generated during the ...

Associazione Italiana Di Ingegneria Chimica2024

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Computational fluid dynamics simulations of the heat transfer properties of graphene-based nanolubricants and application to hydrodynamic lubrication

Roberto Guarino

Aip Publishing2024

Renewable energy integration and waste heat valorization in aluminum remelting for co-producing kerosene and methanol

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Scaling Description of Dynamical Heterogeneity and Avalanches of Relaxation in Glass-Forming Liquids

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We provide a theoretical description of dynamical heterogeneities in glass-forming liquids, based on the premise that relaxation occurs via local rearrangements coupled by elasticity. In our framework, the growth of the dynamical correlation length e and o ...

American Physical Society2023

Thermo-hydro-mechanical behavior of energy barrettes: Field experiments and numerical simulations

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Over the past two decades, the thermo-hydro-mechanical behavior of earth-contact structures such as piles, walls, slabs, and tunnels, which simultaneously provide structural support and energy supply, has been studied through various field experiments and ...

ELSEVIER2023

Multi-time integration approach for combined pulp and ammonia production and seasonal CO2 management

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In this work, the gasification of the black liquor is proposed as an alternative ammonia production route. Due to the seasonal variation of the energy prices, a multi-time integration approach that combines different technologies and energy inputs is used ...

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Importance of hydropower reservoirs and dams in Europe to mitigate the energy crisis and to serve as a catalyst and enabler for the Green Deal

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Hydropower has a long tradition in Europe and contributed significantly during the last century to industrial development and welfare in most of the countries in Europe. The ambitious plan for an energy transition in Europe now seeks to achieve a lowcarbon ...

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Hydropower has a long tradition in Europe, contributing significantly during the first half of the last century to the welfare and industrial development of most countries across the continent. Today, reaching nearly 650 TWh of annual generation in an aver ...

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First-Principles Thermodynamics of CsSnI3

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CsSnI3 is a promising ecofriendly solution for energy harvesting technologies. It exists at room temperature in either a black perovskite polymorph or a yellow 1D double-chain, which irreversibly deteriorates in the air. In this work, we unveil the relativ ...

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On double-descent in uncertainty quantification in overparametrized models

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Uncertainty quantification is a central challenge in reliable and trustworthy machine learning. Naive measures such as last-layer scores are well-known to yield overconfident estimates in the context of overparametrized neural networks. Several methods, ra ...

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Modelling of metal alloys in realistic conditions with machine learning

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Computer simulations based on statistical methods have emerged as a powerful tool for studying structure-property relationships at the atomistic level. However, to provide reliable insights into materials in realistic conditions, it is essential to accurat ...

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Importance of hydropower reservoirs and dams in Europe to mitigate the energy crisis and to serve as a catalyst and enabler for the Green Deal

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CRC Press/Balkema2023

The energy crisis in Europa reveals the importance of reliable hydropower as a catalyst and enabler for the clean and safe energy transition

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Modelling of metal alloys in realistic conditions with machine learning

Nataliya Lopanitsyna

EPFL2023