output
20072026
most citedScikit-learn: Machine Learning in Python

63.6k citations

Showing 2023Show all

9 papers · 1 filter

cond-mat.soft2023★ 6 cited

Sol-gel transition by evaporation in porous media

Romane Le Dizès Castell, Leo Pel, Tinhinane Chekai +4

Historical monuments, outdoor stone sculptures and artworks made of porous materials are exposed to chemical and physical degradation over time. Presently, the most promising route…

math.NA2023★ 1 cited

High-order adaptive multi-domain time integration scheme for microscale lithium-ion batteries simulations

Ali Asad, Romain de Loubens, Laurent François +1

We investigate the modeling and simulation of ionic transport and charge conservation in lithium-ion batteries (LIBs) at the microscale. It is a multiphysics problem that involves…

cs.LG2023★ 2 cited

MARLIM: Multi-Agent Reinforcement Learning for Inventory Management

Rémi Leluc, Elie Kadoche, Antoine Bertoncello +1

Maintaining a balance between the supply and demand of products by optimizing replenishment decisions is one of the most important challenges in the supply chain industry. This pap…

astro-ph.SR2023★ 11 cited

Direct assessment of SDO/HMI helioseismology of active regions on the Sun's far side using SO/PHI magnetograms

D. Yang, L. Gizon, H. Barucq +47

Earth-side observations of solar p modes can be used to image and monitor magnetic activity on the Sun's far side. Here we use magnetograms of the far side obtained by the Polarime…

cond-mat.mtrl-sci2023★ 11 cited

Aromatic molecules as sustainable lubricants explored by ab initio simulations

Stefan Peeters, Gabriele Losi, Sophie Loehlé +1

In the pursuit of sustainable lubricant materials, the conversion of common organic molecules into graphitic material has been recently shown to effectively reduce friction of meta…

cond-mat.mtrl-sci2023★ 20 cited

Importance of the catalytic effect of the substrate in the functionality of lubricant additives: the case of MoDTC

Stefan Peeters, Catherine Charrin, Isabelle Duron +3

Molybdenum dithiocarbamates (MoDTCs) are lubricant additives very efficient in reducing the friction of steel and they are employed in a number of industrial applications. The func…