Publications associées à Discipline scientifique

Sparse autoregressive neural networks for classical spin systems

Efficient sampling and approximation of Boltzmann distributions involving large sets of binary variables, or spins, are pivotal in diverse scientific fields even beyond physics. Recent advances in generative neural networks have significantly impacted this ...

Iop Publishing Ltd2024

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

The Societal and Scientific Importance of Inclusivity, Diversity, and Equity in Machine Learning for Chemistry

Daniel Probst

While the introduction of practical deep learning has driven progress across scientific fields, recent research highlighted that the requirement of deep learning for ever-increasing computational resources and data has potential negative impacts on the sci ...

2023

Nano-MOSFET - Foundation of Quantum Computing Part I

Edoardo Charbon, Fabio Sebastiano

As big strides were being made in many science fields in the 1970s and 80s, faster computation for solving problems in molecular biology, semiconductor technology, aeronautics, particle physics, etc., was at the forefront of research. Parallel and super-co ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

Toward a Collective Agenda on AI for Earth Science Data Analysis

Devis Tuia, Jan Dirk Wegner

In past years, we have witnessed the fields of geosciences and remote sensing and artificial intelligence (AI) become closer. Thanks to the massive availability of observational data, improved simulations, and algorithmic advances, these disciplines have f ...

2021

Spectral Measurement and Classification in the Era of Big Data

Marilyne Andersen, Forrest Simon Webler

The measurement and classification of light is essential across many scientific disciplines. Devices used to measure light range from the highly precise scanning spectroradiometers to the more practical compact multichannel filter-array type imaging sensor ...

2021

Silver Nanomaterials in Contemporary Molecular Physiology Research

Sandor Kasas

Silver nanoparticles have numerous potential applications in engineering, industry, biology and medicine. Because of their unique chemical properties, they have become the focus of many research teams all over the world. Silver nanoparticles may exhibit si ...

BENTHAM SCIENCE PUBL LTD2020

The Open Innovation in Science research field: a collaborative conceptualisation approach

Marc Gruber, Christopher Tucci, Marcellus Bogers

Openness and collaboration in scientific research are attracting increasing attention from scholars and practitioners alike. However, a common understanding of these phenomena is hindered by disciplinary boundaries and disconnected research streams. We lin ...

ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD2022

Functional Inverse Problems on Spheres: Theory, Algorithms and Applications

Matthieu Martin Jean-André Simeoni

Many scientific inquiries in natural sciences involve approximating a spherical field -namely a scalar quantity defined over a continuum of directions- from generalised samples of the latter (e.g. directional samples, local averages, etc). Such an approxim ...

EPFL2020

The organisation of science: topics, incentives and funding

Omar Ballester Gonzalez

Ever since the links between the development of new technologies and economic growth became evident, researchers have attempted to study how the creation of knowledge fosters progress. If pushing the frontier of knowledge has an impact on progress and well ...

EPFL2020

Head motion measurement and correction using FID navigators

Tobias Kober, Maryna Volodimirivna Waszak

Purpose: To develop a novel framework for rapid, intrinsic head motion measurement in MRI using FID navigators (FIDnavs) from a multichannel head coil array. ...

WILEY2019

Gap-Plasmon-Enhanced High-Spatial-Resolution Imaging by Photothermal-Induced Resonance in the Visible Range

Giovanni Dietler, Serguei Sekatski, Anton Smirnov, Jiangtao Zhou

Chemical characterization at the nanoscale is of significant importance for many applications in physics, analytical chemistry, material science, and biology. Despite the intensive studies in the infrared range, high-spatial resolution and high-sensitivity ...

AMER CHEMICAL SOC2019

Non-contact femtosecond laser-based methods for investigating glass mechanics at small scales

Christos Edouardos Athanasiou

With the progress made in miniaturizing systems over the last decades, understanding materialsâ behavior at small scales has become a necessity. In this context, glass behavior has remained largely unknown, partly for technological reasons and partly due ...

EPFL2018

Fluid Dynamics and Outliers : Outstanding Performance of High-Tech Companies in Microfluidic Technologies

Bernard André Vincent Calisti

The current craze for unicorns and other hyper growth companies brings a novel interest in what makes the exceptional performance of a firm. Literature about technological innovation explains the bond between the performance level reached by a company and ...

EPFL2017

From recommender systems to spatio-temporal dynamics with network science

Kirell Maël Benzi

Networks are data structures that are fundamental for capturing and analyzing complex interactions between objects. While they have been used for decades to solve problems in virtually all scientific fields, their usage for data analysis in real-world prac ...

EPFL2017

Reservoir sedimentation

Anton Schleiss, Giovanni De Cesare, Mário Jorge Rodrigues Pereira Da Franca, Carmelo Juez Jiménez

Artificial water storage, originated by the construction of dams, is essential for the sustainable health and welfare of civilizations since it supplies water for human consumption, irrigation and energy production. Furthermore, dam reservoirs are used for ...

Taylor & Francis Ltd2016

Demonstration of a low-frequency three-dimensional terahertz bullet with extreme brightness

Christoph Peter Hauri, Mostafa Shalaby

The brightness of a light source defines its applicability to nonlinear phenomena in science. Bright low-frequency terahertz (

Nature Research2015

Computational Neuroscience Breakthroughs Through Innovative Data Management

Anastasia Ailamaki, Thomas Heinis, Farhan Tauheed, Sadegh Heyrani Nobari, Laurynas Biveinis

Simulations have become key in many scientific disciplines to better understand natural phenomena. Neuroscientists, for example, build and simulate increasingly fine grained models (including subcellular details, e.g., neurotransmitter) of the neocortex to ...

2013

A Cartographic Turn? Bridging the Gap between Sciences and Technologies of the Inhabited Space

Jacques Lévy

Modern cartography, grounded in the Euclidean concept of space and the mathematization of its language, has laid the foundation of academic geography and promoted its epistemic emergence as a scientific discipline. Developments over the last decades and th ...

Association Espaces Temps2012

Data mining for materials: Computational experiments with AB compounds

Wanda Andreoni

Machine learning is a broad discipline that comprises a variety of techniques for extracting meaningful information and patterns from data. It draws on knowledge and "know-how" from various scientific areas such as statistics, graph theory, linear algebra, ...

2012