Publication
Toward a Materials Genome Approach for Ionic Liquids: Synthesis Guided by Ab Initio Property Maps
Related publications (39)
Predicting protein interactions using geometric deep learning on protein surfaces
In the domain of computational structural biology, predicting protein interactions based on molecular structure remains a pivotal challenge. This thesis delves into this challenge through a series of interconnected studies.The first chapter introduces the ...
EPFL2024Spatial Modeling for Building Design Evaluation: from Visual Landscape Quality Assessment to Devaluation Risk Estimation
Zoning reform is a crucial tool for cities to adapt to contemporary challenges. However, its implementation remains challenging. Property owners, with a vested interest in the value of their neighborhoods, are sensitive to local developments and the potent ...
EPFL2024Improving the use of the housing stock to reduce its environmental impact
In the future, the existing housing stock should be improved while less new dwellings are built. This improvement will take the form of energy-efficient renovation as well as by encouraging cohabitation and reducing the amount of living space occupied per ...
Swiss National Science Foundation2023Improving Deepfake Detectors against Real-world Perturbations with Amplitude-Phase Switch Augmentation
Touradj Ebrahimi, Yuhang Lu, Ruizhi Luo
In recent years, the remarkable progress in facial manipulation techniques has raised social concerns due to their potential malicious usage and has received considerable attention from both industry and academia. While current deep learning-based face for ...
2023Bias Cancellation of MixColumns
Francesco Regazzoni, Andrea Felice Caforio, Subhadeep Banik
At COSADE'2020, Carre et al. established a novel biascancelling property of the AES MixColumns matrix that effectively corrects any skewed output distribution of a state byte due to a faulty substitution box. Consequently, any effected byte is rendered uni ...
SPRINGER INTERNATIONAL PUBLISHING AG2022Fast end-to-end learning on protein surfaces
Bruno Emanuel Ferreira De Sousa Correia, Freyr Sverrisson
Proteins' biological functions are defined by the geometric and chemical structure of their 3D molecular surfaces. Recent works have shown that geometric deep learning can be used on mesh-based representations of proteins to identify potential functional s ...
IEEE COMPUTER SOC2021A Politics of Intellectual Property: The French Revolution and the Creation of a Patent System
Our understanding of the rise of intellectual property has been highly influenced by the tools and concepts of economic history and the lens of the Industrial Revolution. Looking at the case of France, this article examines the cultural and ideological ori ...
2020A Politics of Intellectual Property Creating a Patent System in Revolutionary France
Economic interpretations, in particular the lens of the Industrial Revolution, have strongly influenced our understanding of the rise of intellectual property. This article examines the political origins of the 1791 patent law in France, which is usually s ...
JOHNS HOPKINS UNIV PRESS2020Property FW, differentiable structures and smoothability of singular actions
We provide a smoothening criterion for group actions on manifolds by singular diffeomorphisms. We prove that if a countable group Gamma has the fixed point property FW for walls (for example, if it has property(T)), every aperiodic action of Gamma by diffe ...
WILEY2020Water Activity from Equilibrium Molecular Dynamics Simulations and Kirkwood-Buff Theory
Satoshi Takahama, Mária Lbadaoui-Darvas
Water activity and related thermodynamic properties are calculated for several aqueous solutions using equilibrium molecular dynamics in conjunction with the recent extension of the Kirkwood-Buff (KB) theory for closed systems. The general applicability of ...
AMER CHEMICAL SOC2019