Publications associées à Roadmap on Machine learning in electronic structure

Teaching Not To

Two design studios were successively taught in two schools of architecture: one at the Harvard Graduate School of Design (GSD) and the other at the Swiss Federal Institute of Technology in Lausanne (EPFL) in Lausanne, Switzerland, based on "A Global Morato ...

Taylor & Francis Inc2024

Re-design of EU DEMO with a low aspect ratio

Hartmut Zohm

The design point that had been chosen for EU DEMO in 2016 is reviewed here and a modification is proposed with a lower aspect ratio. Previously the same aspect ratio, A, was chosen for EU DEMO as in major tokamak experiments including ITER (A = 3.1), and, ...

2024

Rising from rubble - Leveraging existing construction tools for upcycling concrete waste into slender walls

Katrin Beyer, Corentin Jean Dominique Fivet, Stefana Parascho, Qianqing Wang, Maxence Grangeot

In this paper, we present a new method for upcycling concrete rubble waste into slender walls through the lightweight digital augmentation of mainstream construction machines. By using such method, the environmental impact of concrete construction and demo ...

Springer2024

Computational Homogenization for Inverse Design of Surface-based Inflatables

Mark Pauly, Florin Isvoranu, Uday Kusupati, Seiichi Eduardo Suzuki Erazo, Yingying Ren, Francis Julian Panetta

Surface-based inflatables are composed of two thin layers of nearly inextensible sheet material joined together along carefully selected fusing curves. During inflation, pressure forces separate the two sheets to maximize the enclosed volume. The fusing c ...

2024

Gyrokinetic simulations of turbulence in magnetic fusion plasmas using a delta-f PIC scheme with evolving background

Moahan Murugappan

Using the GKEngine code which simulates an electrostatic plasma with adiabatic electron response under a sheared-slab geometry, an attempt at developing a hybrid approach between the delta-f and full-f schemes to describe plasma profiles exhibiting high fl ...

EPFL2024

Customized modular multi-material mouthguard and method of making the same

Dominique Pioletti, Naser Nasrollahzadeh Mamaghani, Martin Broome

There is described a mouthguard comprising an externally exposed impact protective region defined by a first material property and configured to cover a front tooth, an internally exposed occlusional cushioning region defined by a second material property ...

2024

Thermal transport of glasses via machine learning driven simulations

Federico Grasselli

Accessing the thermal transport properties of glasses is a major issue for the design of production strategies of glass industry, as well as for the plethora of applications and devices where glasses are employed. From the computational standpoint, the che ...

Frontiers Media Sa2024

Dataset to accompany publication "Quantum-mechanical effects in photoluminescence from thin crystalline gold films"

Giulia Tagliabue, Alan Richard Bowman, Fateme Kiani Shahvandi, Theodoros Tsoulos

This dataset accompanies the publication "Quantum-mechanical effects in photoluminescence from thin crystalline gold films" published in Light: Science & Applications (https://doi.org/10.1038/s41377-024-01408-2). The data can be used to reproduce plots 1-4 ...

Zenodo2024

Soft Robotics: A Route to Equality, Diversity, and Inclusivity in Robotics

Josephine Anna Eleanor Hughes

Robotics is entering our daily lives. The discipline is increasingly crucial in fields such as agriculture, medicine, and rescue operations, impacting our food, health, and planet. At the same time, it is becoming evident that robotic research must embrace ...

Mary Ann Liebert, Inc2024

Cyclic Peptides for Drug Development

Christian Heinis, Xinjian Ji, Alexander Lund Nielsen

Cyclic peptides are fascinating molecules abundantly found in nature and exploited as molecular format for drug development as well as other applications, ranging from research tools to food additives. Advances in peptide technologies made over many years ...

Wiley-VCH Verlag GmbH2024