Quantum Super-Exchange Energy Storage Platform

HORIZON.1.1HORIZON-ERCID: 101043219
EC Contribution
€14,246
Consortium Size
1 orgs
Summary

Batteries are a major driving force behind EU’s goal to be climate neutral by 2050–with net-zero greenhouse gas emissions. However, all batteries suffer from severe performance and safety challenges (fire and explosion) and fast-charging limitations due to two fundamental challenges:1) The complex and uncontrollable microscopic electron and ion interactions at dynamic interfaces; 2) The highly in-homogeneous electric field inside the battery cell that leads to chaotic carrier migration. In this project, I tackle these problems by developing a quantum super-exchange energy storage platform (QUEEN), which enables atomically precise fabrication of 2D hybrid nanomaterials effectively transforming them into programable matter. In QUEEN, my aim is 1) Developing a quantum arc pen electro pulse lithography (Q-ARC) technique including a nanoscale “pen” (ARC-PEN) with uniquely modified tips (special gas inlets/outlets) to remove/replace targeted atoms with great precision. 2) Using Q-ARC techniques, investigating novel patterns to fabricate an in-plane hybrid 2D material system with band gap engineering, Coulomb blockage and ballistic transport. 3) Leveraging QUEEN’s near atom-by-atom fabrication, to create an in-situ testing platform to investigate quantum phenomena at complex interfaces. QUEEN will enable the development of superior battery architectures with i) precise and programmable control carrier transport, ii) groundbreakingly thin battery operation distances (2nm-5nm between anode and cathode), iii) very high mobility/instantaneous ion transport, iv) blueprint for extra charge storage mechanism. My multidisciplinary background in advanced device engineering and physics will enable me to accomplish the ambitious goals of this project, which will transform battery technology going well beyond the state of art by introducing control to carrier dynamics. Furthermore, QUEEN unlocks the potential for 2D materials in areas like biology, flexible electronics and spintronic.

Consortium (1)

Project Results (8)

Source: CORDIS, the EU research results database.

Publications (8)
Boron-Doped NiCoCuMoMn High-Entropy Alloys for Enhanced Electrocatalytic Water Splitting: An Experimental and Computational Study
ACS Applied Energy Materials· 2026DOI
Hossein Mahdavi, Maryam Mansoor, Onur Ergen, Uğur Ünal, Hadi Jahangiri
Interface and strain engineering of thickness-dependent band gap widening in Mg doped ZnO nanofibrous thin films for photovoltaic applications
Applied Surface Science· 2026DOI
K. Mohammed Salman, Mehya Mansoor, Mohamed Zikriya, Onur Ergen, C.G. Renuka
Mapping strain at the atomic scale with PyNanospacing: An AI-assisted approach to TEM image processing and visualization
Computer Physics Communications· 2025DOI
Mehmet Ali Sarsıl, Mubashir Mansoor, Mert Saraçoğlu, Servet Timur, Onur Ergen
Atomistic Origins of Various Luminescent Centers and n-Type Conductivity in GaN: Exploring the Point Defects Induced by Cr, Mn, and O through an <i>Ab Initio</i> Thermodynamic Approach
Chemistry of Materials· 2024DOI
Kamil Czelej, Mubashir Mansoor, Mehmet Ali Sarsil, Mert Tas, Yahya A. Sorkhe, Mehya Mansoor, Maryam Mansoor, Bora Derin, Onur Ergen, Servet Timur, Mustafa Ürgen
Optical Centers in Cr-, Mn-, and O-Doped AlN and Their Thermodynamic Stability Designed by a Multiscale Computational Approach
ACS Applied Materials & Interfaces· 2024DOI
Mubashir Mansoor, Mehmet Ali Sarsil, Mehya Mansoor, Maryam Mansoor, Mert Tas, Yahya Sorkhe, Zuhal Er, Katarzyna Jabłczyńska, Bora Derin, Servet Timur, Mustafa Ürgen, Onur Ergen, Kamil Czelej
Simple air blow to charge Li-air, rechargeable, solid-state batteries using nano-engineered aerogel structures
Electrochemistry Communications· 2024DOI
Onur Ergen, Niyazi Okan Çiftci, Özge İbiş
Controllable synthesis of borophene aerogels by utilizing h-BN layers for high-performance next-generation batteries
Proceedings of the National Academy of Sciences· 2023DOI
Niyazi Okan Çiftçi, Sevil Berrak Şentürk, Yaren Sezen, Süreyya Üstün Kaykusuz, Hu Long, Onur Ergen
Respiratory sound-base disease classification and characterization with deep/machine learning techniques
Biomedical Signal Processing and Control· 2023DOI
Oğuzhan Karaarslan, Kristen Dominica Belcastro, Onur Ergen