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Concept

Machine autoréplicative

Publications associées (30)

Soft matter probed by nonlinear scattering: self-assembly, interfaces, hydration, and long-range order

Jan Dedic

All organisms are made to a large extent of soft matter - macromolecules such as proteins and polysaccharides, or assemblies of small molecules such as lipids embedded in an aqueous environment. Understanding the role of order in soft matter presents a cha ...

EPFL2020

Single-molecule studies of amyloid proteins: from biophysical properties to diagnostic perspectives

Chan Cao

In neurodegenerative diseases, a wide range of amyloid proteins or peptides such as amyloid-beta and alpha-synuclein fail to keep native functional conformations, followed by misfolding and self-assembling into a diverse array of aggregates. The aggregates ...

CAMBRIDGE UNIV PRESS2020

Active biomaterials for mechanobiology

Mahmut Selman Sakar, Berna Ayse Özkale Edelmann

Active biomaterials offer novel approaches to study mechanotransduction in mammalian cells. These material systems probe cellular responses by dynamically modulating their resistance to endogenous forces or applying exogenous forces on cells in a temporall ...

2020

Kubits: Solid-State Self-Reconfiguration With Programmable Magnets

Auke Ijspeert, Mehmet Hasan Mutlu, Simon Lukas Hauser

Even though many prototypes of 3D self-reconfiguring modular robots (SRMRs) have been developed in recent years, a demonstration involving 1'000 modules remains a challenge. This is largely due to complex mechanics needed to achieve connection, disconnecti ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Biomechanics of diastolic dysfunction: a one-dimensional computational modeling approach

Nikolaos Stergiopoulos, Vasiliki Bikia, Georgios Rovas, Stamatia Zoi Pagoulatou, Quentin Christian Marie Michel Mercier, Karim Hesham Ahmed Kadry Abdelmeguid

Diastolic dysfunction (DD) is a major component of heart failure with preserved ejection fraction (HFpEF). Accordingly. a profound understanding of the underlying biomechanical mechanisms involved in DD is needed to elucidate all aspects of HFpEF. In this ...

AMER PHYSIOLOGICAL SOC2020

Evo-Bots: A Simple, Stochastic Approach to Self-assembling Artificial Organisms

Francesco Mondada

This paper describes an alternative path towards artificial life-one by which simple modular robots with novel hybrid motion control are used to represent artificial organisms. We outline conceptually how such a system would work, and present a partial har ...

SPRINGER INTERNATIONAL PUBLISHING AG2019

A Rule Synthesis Algorithm for Programmable Stochastic Self-Assembly of Robotic Modules

Alcherio Martinoli, Bahar Haghighat

Programmable self-assembly of modular robots offers promising means for structure formation at different scales. Rule-based approaches have been previously employed for distributed control of stochastic self-assembly processes. The assembly rate in the pro ...

SPRINGER INTERNATIONAL PUBLISHING AG2019

System Support for Efficient Replication in Distributed Systems

Dragos-Adrian Seredinschi

Current online applications, such as search engines, social networks, or file sharing services, execute across a distributed network of machines. They provide non-stop services to their users despite failures in the underlying network. To achieve such a hi ...

EPFL2019

Pharmacokinetics and biodistribution study of self-assembled Gd-micelles demonstrating blood-pool contrast enhancement for MRI

Lothar Helm, Yohan Van de Looij

Magnetic resonance angiography (MRA) requires the use of contrast agents (CAs) to enable accurate diagnosis. There are currently no CAs on the market with appropriate pharmacokinetic (PK) parameters, namely long persistence in the blood, that can be easily ...

2019

Advantageous nearsightedness of many-body perturbation theory contrasted with Kohn-Sham density functional theory

Christoph Leopold Talirz

For properties of interacting electron systems, Kohn-Sham (KS) theory is often favored over many-body perturbation theory (MBPT), owing to its low computational cost. However, the exact KS potential can be challenging to approximate, for example in the pre ...

AMER PHYSICAL SOC2019