Devising Reliable Electronic Structure Schemes through Eclectic Design
This project aims to develop an intuitive, accurate computational chemistry method for modeling large organic molecules by enhancing electron-pair states with multi-reference wave function data.
Projectdetails
Introduction
Modern quantum chemistry reached a remarkable level of description of atoms and molecules and their interactions. Theoretical approaches are particularly helpful when experimental studies are hampered or slowed down due to a trial-and-error approach. In such cases, computational chemistry can provide the much sought-after understanding of molecular properties and reactivity.
Challenges in Current Approaches
Unfortunately, conventional wave function models are too expensive for large-scale modeling or require user control on an expert level, while density functional theory may predict unreliable properties. To break the current paradigm of computational chemistry, novel and neat approximations are desirable.
Innovative Approach
One such innovative approach models many-electron systems using electron pair states. Current electron-pair methods are, however, insufficient to reach chemical or spectroscopic accuracy for large molecules of organic electronics and must be extended to:
- Accurately describe electron correlations beyond the simple electron-pairing effects, especially in cases where conventional corrections break.
- Reliably predict molecular properties of both ground and electronically excited states of closed- and open-shell compounds.
- Provide an intuitive and black-box platform for non-expert users.
Goals and Methodology
These goals will be achieved by:
a. Dressing electron-pair states with information extracted from multi-reference wave functions using a bottom-up approach, where each step systematically improves the accuracy of the previous model along the ladder of approximation.
b. Designing a black-box interface to automatized quantum chemistry calculations using concepts of quantum information theory.
c. Elucidating the structure-properties relationship using the picture of interacting orbitals.
Conclusion
The synergy between an inexpensive but reliable quantitative description and the qualitative interpretation of molecular interactions will accelerate the discovery of new materials in organic electronics.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.218.088 |
Totale projectbegroting | € 1.218.088 |
Tijdlijn
Startdatum | 1-10-2023 |
Einddatum | 30-9-2028 |
Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- UNIWERSYTET MIKOLAJA KOPERNIKA W TORUNIUpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
A quantum chemical approach to dynamic properties of real materialsThis project aims to revolutionize computational materials science by developing novel, efficient methods for accurately predicting vibrational and optical properties of materials. | ERC Consolid... | € 1.999.288 | 2023 | Details |
Turning gold standard quantum chemistry into a routine simulation tool: predictive properties for large molecular systemsThis project aims to develop advanced quantum simulation methods for large molecules, enhancing predictive power and efficiency to study complex biochemical interactions and reactions. | ERC Starting... | € 1.175.215 | 2023 | Details |
Field-Theory Approach to Molecular InteractionsThe FITMOL project aims to revolutionize modeling of large molecular complexes through a new field-theory approach, enhancing accuracy and efficiency in quantum calculations for intricate biological systems. | ERC Advanced... | € 2.500.000 | 2022 | Details |
Steering the Quantum Dynamics of Confined Molecular MaterialsQUADYMM aims to revolutionize sustainable energy technologies by developing advanced simulations for nonequilibrium molecular dynamics, enhancing predictive capacity for electrochemistry and optoelectronics. | ERC Consolid... | € 2.000.000 | 2025 | Details |
High-Performance Computational Photochemistry and SpectroscopyHIPERCOPS aims to develop efficient parallel ab initio methods for excited-state calculations on high-performance computers, enhancing computational photochemistry for large organic systems and solar energy applications. | ERC Advanced... | € 2.488.013 | 2024 | Details |
A quantum chemical approach to dynamic properties of real materials
This project aims to revolutionize computational materials science by developing novel, efficient methods for accurately predicting vibrational and optical properties of materials.
Turning gold standard quantum chemistry into a routine simulation tool: predictive properties for large molecular systems
This project aims to develop advanced quantum simulation methods for large molecules, enhancing predictive power and efficiency to study complex biochemical interactions and reactions.
Field-Theory Approach to Molecular Interactions
The FITMOL project aims to revolutionize modeling of large molecular complexes through a new field-theory approach, enhancing accuracy and efficiency in quantum calculations for intricate biological systems.
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.
High-Performance Computational Photochemistry and Spectroscopy
HIPERCOPS aims to develop efficient parallel ab initio methods for excited-state calculations on high-performance computers, enhancing computational photochemistry for large organic systems and solar energy applications.
Vergelijkbare projecten uit andere regelingen
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
QUANTUM-TOX - Revolutionizing Computational Toxicology with Electronic Structure Descriptors and Artificial IntelligenceThis project aims to revolutionize computational toxicology by developing interpretable quantum mechanics-based descriptors (ESigns) for accurate toxicity predictions across the entire chemical space. | EIC Pathfinder | € 1.994.770 | 2024 | Details |
QUANTUM-TOX - Revolutionizing Computational Toxicology with Electronic Structure Descriptors and Artificial Intelligence
This project aims to revolutionize computational toxicology by developing interpretable quantum mechanics-based descriptors (ESigns) for accurate toxicity predictions across the entire chemical space.