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New Capabilities of the FLUKA Multi-Purpose Code

Nikolaos Charitonidis, André Donadon Servelle, Philippe Jean Schoofs, Francesco Cerutti

FLUKA is a general purpose Monte Carlo code able to describe the transport and interaction of any particle and nucleus type in complex geometries over an energy range extending from thermal neutrons to ultrarelativistic hadron collisions. It has many diffe ...

FRONTIERS MEDIA SA2022

Sub-micrometer morphology of human atherosclerotic plaque revealed by synchrotron radiation-based mu CT-A comparison with histology

Goran Lovric, Anne Bonnin

Histology is a long standing and well-established gold standard for pathological characterizations. In recent years however, synchrotron radiation-based micro-computed tomography (SR mu CT) has become a tool for extending the imaging of two-dimensional thi ...

PUBLIC LIBRARY SCIENCE2022

Recent advances in trajectory inference from single-cell omics data

Bart Deplancke, Wouter Saelens

Trajectory inference methods have emerged as a novel class of single-cell bioinformatics tools to study cellular dynamics at unprecedented resolution. Initial development focused on adapting methods based on clustering or graph traversal, but recent advanc ...

ELSEVIER2021

Computational tool for stock-constrained design of structures

Corentin Jean Dominique Fivet, Jonas Warmuth, Jan Friedrich Georg Brütting

Designing structures from reused elements is becoming an increasingly important design task for structural engineers as it has potential to significantly reduce adverse environmental impacts of building structures. To allow for a broad application of this ...

2021

Rapid screening of nanopore candidates in nanoporous single-layer graphene for selective separations using molecular visualization and interatomic potentials

Luc Sébastien Bondaz, Rohit Karnik

Nanoporous single-layer graphene is promising as an ideal membrane because of its extreme thinness, chemical resistance, and mechanical strength, provided that selective nanopores are successfully incorporated. However, screening and understanding the tran ...

AIP Publishing2021

Development of the RAPTOR suite of codes towards real-time reconstruction of JET discharges

Federico Alberto Alfredo Felici

The RAPTOR suite of codes combines real-time model-based predictions of the plasma state with the available diagnostic measurements. Following the work on TCV and ASDEX-Upgrade, this paper presents the implementation of the RAPTOR suite for JET. This suite ...

2021

Following spatial A beta aggregation dynamics in evolving Alzheimer's disease pathology by imaging stable isotope labeling kinetics

Anders Meibom, Stéphane Laurent Escrig, Melissa Kathleen Passarelli

beta-Amyloid (A beta) plaque formation is the major pathological hallmark of Alzheimer's disease (AD) and constitutes a potentially critical, early inducer driving AD pathogenesis as it precedes other pathological events and cognitive symptoms by decades. ...

AMER ASSOC ADVANCEMENT SCIENCE2021

Automated Design: A Journey Across Modelling, Optimization, and Education

Cyril Picard

Machine intelligence greatly impacts almost all domains of our societies. It is profoundly changing the field of mechanical engineering with new technical possibilities and processes. The education of future engineers also needs to adapt in terms of techni ...

EPFL2021

Radial Scope: A New Visualization Tool for Structure-Data Relationships

Communication of data associated with chemical structures in a concise fashion can be challenging. Here, we describe an alternative to the classic substrate table that integrates numerical data with struttural changes. These radial-scopeplots facilitate th ...

2020

The SONATA data format for efficient description of large-scale network models

Eilif Benjamin Muller, James Gonzalo King, Adrien Michel Achille Devresse, Werner Alfons Hilda Van Geit, Jean-Denis Georges Emile Courcol, Juan Bautista Hernando Vieites, Michael Emiel Gevaert, Judit Planas Carbonell

Increasing availability of comprehensive experimental datasets and of high-performance computing resources are driving rapid growth in scale, complexity, and biological realism of computational models in neuroscience. To support construction and simulation ...

2020

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