Hola,
¿eres nuevo aquí?

Regístrate gratis y conecta tu empresa con financiación pública, partners y proyectos.

Tengo cuenta

Regístrate

Ver video

MAGNIFY

Financiado

Decoding the Mechanisms Underlying Metal-Organic Frameworks Self-Assembly

Metal-Organic Frameworks (MOFs) are porous materials with many societally relevant potential applications, such as carbon capture, removal of environmental toxins and drug-delivery. Despite the progress in the field, synthesizing... ver más

30/11/2027

SORBONNE UNIVERSIT...

1M€

Presupuesto del proyecto: 1M€

Líder del proyecto

SORBONNE UNIVERSITE No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Ver 2 Participantes

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2022-03-14

ERC-2021-STG: ERC STARTING GRANTS Scope:Objectives

I+D

Cerrada hace 3 años

0% 100% 100%

2 Participantes

SORBONNE UNIVERSITE

1.34M€ | Lider

UNIVERSITE DE MONTPELLIER

N.D. | Participante

Conecta tu I+D

¿Tienes un proyecto y buscas un partner? Gracias a nuestro motor inteligente podemos recomendarte los mejores socios y ponerte en contacto con ellos. Te lo explicamos en este video

Proyectos interesantes

FlexiMOFs-2 A Design Principle for Predicting Flexible Metal-Organic Fra... 174K€ Cerrado

CTQ2012-38015 MATERIALES METALORGANICOS AVANZADOS (MOF) PARA LA ADSORCION... 151K€ Cerrado

PID2020-118117RB-I00 CONTROL QUIMICO DE ESTABILIDAD Y FUNCION EN REDES TITANIO-OR... 211K€ Cerrado

PGC2018-099296-B-I00 DISEÑO DE MATERIALES METAL-ORGANICOS SELECTIVOS PARA LA VAL... 143K€ Cerrado

MAT2013-40556-R INNOVACIONES EN MOFS PARA APLICACIONES ENERGETICA Y AMBIENTA... 128K€ Cerrado

PID2019-107675RB-I00 METAL ORGANIC FRAMEWORKS PARA UNA ENERGIA SEGURA, EFICIENTE... 85K€ Cerrado

Duración del proyecto: 68 meses Fecha Inicio: 2022-03-14
Fecha Fin: 2027-11-30

Líder del proyecto

SORBONNE UNIVERSITE No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 1M€

Descripción del proyecto Metal-Organic Frameworks (MOFs) are porous materials with many societally relevant potential applications, such as carbon capture, removal of environmental toxins and drug-delivery. Despite the progress in the field, synthesizing a MOF currently requires tens to hundreds costly and time-consuming trial-and-error synthesis experiments because our ability to correlate the synthesis conditions with the desired MOF structure is very limited. To overcome this, we need to decode the mechanisms underlying MOF self-assembly, a highly complex non-equilibrium process covering a wide range of time- and length-scales, from the formation of the building units to nucleation and growth. In MAGNIFY, my team and I will develop a multi-scale computational methodology that will decode the mechanisms underlying MOF self-assembly and predict synthesis conditions-structure relationships. This ambitious interdisciplinary project combines state-of-the-art multi-scale modelling techniques (enhanced sampling techniques, ab initio, atomistic and coarse-graining modelling), with machine-learning approaches to data analysis (dimensionality reduction and data clustering techniques) trained on new chemical descriptors. We will develop and validate our models in tandem with synthesis experiments. We will test our methodology by applying it to two central problems in MOF rational design: (i) determining how synthesis conditions (temperature, solvent, reactants, metal-to-ligand ratio, additives) drive the resulting MOF material's topology and point defects, as well as to (ii) tackling the very challenging task of predicting the synthesis conditions for producing brand new MOFs. This high-risk high-gain project will produce a breakthrough in the MOF field by enabling fast and resource-efficient MOF rational design and will open new research avenues in investigating the self-assembly of other materials and other complex processes happening through a large span of time- and length-scales.

Conecta tu I+D

Entra hoy

¿Olvidé mi contraseña?

Financiación

Empresas

CTIs/Universidades

Proyectos

Investigadores