Understanding and designing inorganic materials properties based on two- and multicenter bonds
This project aims to develop universal rules for designing inorganic materials by analyzing multicenter chemical bonds through large-scale quantum-chemical methods and machine learning.
Projectdetails
Introduction
A major challenge for the green transition is our inability to rationally design inorganic materials with tailor-made properties. This project will tackle this inability by transforming our understanding of chemical bonding in inorganic materials.
Current Limitations
Understandable rules based on chemical bonds have greatly advanced chemistry but are missing for most material properties, severely limiting the rational design of materials. Until recently, quantum chemical bonding analysis of inorganic materials has only been carried out on a small scale, making it impossible to derive such rules using machine learning.
Focus on Multicenter Bonds
In addition, quantum chemical bonding analysis primarily focuses on two-center bonds. However, multicenter bonds play a critical role in material properties. For example, multicenter bonds have been held responsible for:
- The superhardness of boron-containing compounds
- The unusual properties of phase-change materials
Project Objectives
By significantly going beyond my recent results on two-center bonds predicting materials properties with simple machine-learning models, I propose to overcome these challenges. The overarching objective of MultiBonds is to derive understandable and universal rules based on chemical bonds for inorganic materials properties through large-scale quantum-chemical bonding analysis considering multicenter bonds.
Methodology
We will:
- Develop and apply innovative automated quantum-chemical methods to compute, for the first time, multicenter bonding indicators on a large scale.
- Use the generated database for developing novel predictive deep-learning models.
- Create intuitive human-understandable rules for materials properties.
Applications
As initial applications, we will focus on phase-change materials with low thermal conductivities, magnetic and hard materials, since their properties are known to be governed by multicenter bonds, and they have critical applications (e.g., as thermoelectrics and in the green transition of vehicles).
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.500.000 |
Totale projectbegroting | € 1.500.000 |
Tijdlijn
Startdatum | 1-1-2025 |
Einddatum | 31-12-2029 |
Subsidiejaar | 2025 |
Partners & Locaties
Projectpartners
- BUNDESANSTALT FUER MATERIALFORSCHUNG UND -PRUEFUNGpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
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Decoding the Mechanisms Underlying Metal-Organic Frameworks Self-Assembly
MAGNIFY aims to develop a multi-scale computational methodology to decode MOF self-assembly mechanisms, enabling efficient synthesis and rational design of new materials.
Reprogramming the reactivity of main-group compounds for capturing and activating methane and dinitrogen
The B-yond project aims to develop innovative main-group catalysts for unprecedented chemical transformations, advancing C-H bond functionalization and dinitrogen activation without transition metals.
Steering the Quantum Dynamics of Confined Molecular Materials
QUADYMM aims to revolutionize sustainable energy technologies by developing advanced simulations for nonequilibrium molecular dynamics, enhancing predictive capacity for electrochemistry and optoelectronics.
ab initio PRediction Of MaterIal SynthEsis
Develop a predictive framework using first-principles simulations to assess the synthesizability of novel materials, enhancing materials discovery and design efficiency.
Atomistic Modeling of Advanced Porous Materials for Energy, Environment, and Biomedical Applications
This project aims to develop a materials intelligence ecosystem to assess guest storage and transport properties of millions of MOFs, enhancing their applications in energy, environmental, and biomedical fields.