| iENTRANCE Infrastructure for ENergy TRANsition and Circular Economy |
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The "Infrastructure for Energy Transition and Circular Economy @ EuroNanoLab" (iENTRANCE) is a key initiative under Italy's National Recovery and Resilience Plan (NRRP), specifically within Mission 4: Education and Research, Component 2: From Research to Enterprise, Investment 3.1. This initiative aims to promote innovation, facilitate technology diffusion, enhance skills, and support the transition to a circular economy. The primary goal of iENTRANCE is to become Italy's leading research infrastructure in the following areas: Nanomaterials for Energy: developing advanced nanomaterials to improve energy efficiency and sustainability. Processes and Devices for Green Energy Production, Storage, and Management: innovating technologies that support renewable energy generation, efficient storage solutions, and effective energy management. Micro- and Nanoscale Characterization and Metrology: enhancing techniques for measurement and analysis at the micro and nanoscale to support advanced research and development. Technologies for Device and System Realization: creating and implementing new technologies for the development of advanced devices and systems. The infrastructure is coordinated by the National Research Council (CNR) and includes the National Metrology Institute of Italy, the Polytechnic University of Turin, the University of Bologna, Sapienza University of Rome, and the University of Roma Tre. CNR's representation spans several institutes: IMM Bologna (coordinator of the Research Infrastructure) and Catania, ISMN Bologna, NANO Modena, IMEM Parma, ISM Roma and Potenza, iPCB Pozzuoli, and STEMS Napoli. The consortium is organized into six geographical nodes: Bologna, Turin, Rome, Naples, Potenza, and Catania. Each node is internationally recognized for its expertise in complementary research areas, coordinated by a central hub. The initiative will be developed along three main project phases: Design and Implementation (2022-2024): establishing the operational and management backbone of the Research Infrastructure. A key component will be the digital infrastructure, based on FAIR principles. Ramp-Up (2024-2025): opening the facilities to users from academia and industry. New instrumentation will be acquired and commissioned to enable cutting-edge research. Access policies will incorporate Open Science best practices, emphasizing the importance of excellent science. In-house research will drive technologies beyond the current state-of-the-art to ensure sustainability after the NGEU Project. Full Operation: for at least 10 years, Italy will have a distributed, integrated, and fully interoperable structure for Clean Energy Transition research up to Technology Readiness Level (TRL) 4. Collaboration with other NGEU infrastructures and research innovation programs will ensure Italian competitiveness, autonomy, and sovereignty in this field, covering the entire value chain from low to high TRL.
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| 15 September | ||||||||||||
| 11:30 - 13:00 ROUND TABLE |
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Coordinator: in definition Moderator: in definition |
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| INVITED PANELISTS | ||||||||||||
| in definition | ||||||||||||
| 17 September | ||||||||||||
| 09:00 - 10:30 Machine Learning Approach for advanced materials FE.I.2 - FE.II.1 - TT.I.H |
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| Chair: in definition | ||||||||||||
| This session explores the use of machine learning in the development of advanced materials. As material discovery grows more complex, data-driven methods enable faster property prediction and design. Topics include supervised/unsupervised learning, neural networks, and AI tools for materials science. Both theoretical and experimental contributions are welcome, including case studies in energy, catalysis, polymers, ceramics, and alloys. | ||||||||||||
| FE.I.2.1 FE.II.1.1 TT.I.H.1 |
in definition |  |
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| FE.I.2.2 FE.II.1.2 TT.I.H.2 |
Leila SOHRABI-KASHANI School of Metallurgy and Materials Engineering, Iran University of Science and Technology,Tehran, Iran Effect of Additives on the Microscructure and structure of alumina nanofibers as catalyst support for methane combustion: a Machine Learning approach to Additive Selection |
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| FE.I.2.3 FE.II.1.3 TT.I.H.3 |
in definition | |
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| FE.I.2.4 FE.II.1.4 TT.I.H.4 |
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| FE.I.2.5 FE.II.1.5 TT.I.H.5 |
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| Round table on the Topic | ||||||||||||
| 11:30 - 13:00 2D materials FE.I.3 - FE.II.3 - TT.II.I |
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| Chair: in definition | ||||||||||||
| 2D materials, are materials extended across two dimensions (length and width) but with thickness reduced to an atomic or molecular level. Well-known examples include graphene Transition Metal Dichalcogenides (TMDCs) and MXenes. The scientific community is captivated by 2D materials for a multitude of compelling reasons, driven by their unique properties, which are often unmatched in the conventional 3D world: exceptional electronic conductivity, optical transparency, and unprecedented mechanical strength. These characteristics make them ideal for revolutionizing electronics (faster transistors, flexible devices), sensor technology (ultra-sensitive sensors), and the energy and telecommunications sectors. Their versatility opens new frontiers in materials science and engineering. | ||||||||||||
| FE.I.3.1 FE.II.3.1 TT.II.I.1 |
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| FE.I.3.2 FE.II.3.2 TT.II.I.2 |
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| FE.I.3.3 FE.II.3.3 TT.II.I.3 |
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| FE.I.3.4 FE.II.3.4 TT.II.I.4 |
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| FE.I.3.5 FE.II.3.5 TT.II.I.5 |
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| 14:00 - 15:30 Smart Sensing Technologies FE.I.4 TT.III.A |
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| Chair: in definition | ||||||||||||
| The energy transition requires advanced sensing technologies to monitor key chemical species in real time across a range of processes, from hydrogen production and storage to carbon capture and fuel conversion. The development of high-performance sensing materials—such as metal oxides, perovskites, and porous inorganic frameworks—is essential for enabling accurate, stable, and selective detection under harsh operating conditions. High-throughput synthesis and screening strategies accelerate materials discovery, while operando spectroscopic techniques provide crucial insights into structure–property relationships during sensing. This integrated approach supports the deployment of smart, adaptive monitoring systems, crucial for optimizing efficiency, safety, and sustainability in next-generation energy infrastructures. | ||||||||||||
| FE.I.4.1 TT.III.A.1 |
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| FE.I.4.2 TT.III.A.2 |
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| FE.I.4.3 TT.III.A.3 |
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| FE.I.4.4 TT.III.A.4 |
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| 16:00 - 17:30 Circular Innovation: from waste to resources FE.I.5 - TT.IV.A |
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| Chair: in definition | ||||||||||||
| In the face of accelerating resource depletion and environmental degradation, the transition from linear to circular economic models is no longer optional—it's essential. This lecture explores the transformative concept of circular innovation, focusing on how scientific and technological advancements are enabling the conversion of waste into valuable resources. Drawing on recent interdisciplinary research, the presentation will highlight innovative approaches in material science, bioeconomy, and industrial symbiosis that redefine waste as a resource rather than a burden. Case studies from real-world applications will demonstrate how circular strategies not only reduce environmental impact but also create economic value and foster resilience. The lecture will conclude with insights on policy, design thinking, and collaboration across sectors as key enablers of a sustainable circular future. | ||||||||||||
| FE.I.5.1 TT.IV.A.1 |
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| FE.I.5.2 TT.IV.A.2 |
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| FE.I.5.3 TT.IV.A.3 |
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| FE.I.5.4 TT.IV.A.4 |
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| 17:30 - 18:45 Rome Future Week for iEntrance |
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| Chair: in definition | ||||||||||||