黑料福利网

Topic
Recent progress in understanding the evolution of gas bubbles during water electrolysis

Speaker
Dr. Gerd Mutschke | HZDR

Organized by
Asst. Prof. Maike Baltussen

Introduction
Electrochemical gas evolution at electrodes is a multiphysics process that involves a variety of phenomena at different scales, e.g. nucleation and wetting, capillary effects, bubble coalescence, electrolyte constitution and crossflow, supersaturation, temperature and electric fields. Today, our understanding still seems to be limited, e.g. with respect of accurately predicting the bubble departure size. As the details of growth and transport of gas bubbles have a strong impact on the performance of electrolyzer devices, a better understanding is needed for improving their efficiency. The contribution will elaborate on recent progress in understanding how capillary, thermal, electric and wetting effects influence the gas bubble evolution, thereby combining experimental and numerical effort.

Topic
Interfacial Ionics

Speaker
Assoc. Prof. Peter Ngene | UU

Organized by
Prof. Adriana Creatore 

Introduction
Solid electrolytes are crucial for next-generation batteries, but their low ionic conductivity remains a challenge. This talk shows how conductivity can be improved by several orders of magnitude through nanocomposites with mesoporous oxides such as Al鈧侽鈧�, SiO鈧�, and ZrO鈧�. Using complex hydrides like LiBH鈧� and Na鈧侭鈧佲倐H鈧佲倐 as examples, advanced techniques (NMR, STEM-EELS, XRS) reveal how interfaces, phase stabilization, and space-charge effects enhance ion transport and battery performance in all-solid-state Li and Na batteries.

Topic
Buildings don't provide flexibility: People do

Speaker
Prof. Zoltan Nagy | 黑料福利网

Organized by
Assoc. Prof. Roel Loonen

Introduction
Buildings consume 40% of global energy, yet their potential for grid flexibility is often discussed purely in technical terms: batteries, PV systems, and control algorithms. This talk challenges that framing. Drawing on real-world smart meter data from a grid-interactive community of 17 zero-net-energy homes in California, Prof. Nagy presents MERLIN, a framework for multi-agent offline and transfer learning that enables occupant-centric operation of distributed energy resources.

The results reveal that it is the diversity in occupant behavior, and not hardware alone, that creates the flexibility potential at the aggregated level, with reinforcement learning policies achieving up to 60% improvement in grid-level performance. The talk argues for a paradigm shift: from optimizing buildings as machines to recognizing people as the true source of energy flexibility.

Topic
Thermal Energy Storage

Speaker
Prof. Dr. Joerg Worlitschek | HSLU & Prof. Dr. Adriano Sciacovelli | DTU

Organized by
Prof. Dr. Henk Huinink

Introduction
Energy storage is one of the key pillars within the energy transition towards a sustainable future. Based on the research in the field of Thermal Energy Storage the talk gives an insight into what boundary conditions are considered to be relevant for breakthroughs of new technologies in the field. Specific examples of research findings regarding new technologies are presented in combination with a view on the societal context for future dissemination of Thermal Energy Storage.

Decarbonizing thermal energy is a major challenge for industries, cities, and transport systems that still rely heavily on fossil-fuel-based heating. Long-duration thermal and thermo-mechanical energy storage technologies can provide the flexibility required to integrate renewable energy and electrified heating systems. This talk discusses advances in thermo-mechanical storage concepts grounded in phase-change/reactive phenomena and topological optimization. Emphasis is placed on engineered structures that intensify heat and mass transfer to enable compact, modular, and cost-effective storage devices. The talk highlights emerging thermal energy storage pathways - including latent heat and thermochemical systems - and outlines key research challenges and opportunities for scalable energy storage for heat decarbonization.

Topic
The AI revolution in scientific discovery

Speaker
Prof. Chris Bishop | Microsoft Research

Organized by
S眉leyman Er

Introduction
Scientific discovery is a central driver of human progress and is grounded in the iterative formulation and refinement of hypotheses, tested against the physical world. Not only can AI amplify many aspects of this process, there are also specific new opportunities to accelerate key aspects by many orders of magnitude. This talk examines how modern deep learning methods are being integrated into discovery pipelines, focusing on examples from atmospheric modelling, novel materials design, and molecular discovery.

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