Drawing on diverse voices from labour, academia, policymaking & civil society across regions, the report distils the workstream's discussion into 7 recommendations for advancing socially just & economically resilient #transitionpathways:

🛍️ The future of retail is here! Wondering how your organisation fits in? 🎞️ Watch the sneak peek and discover how the EU Retail Platform supports the green and digital transition of Europe’s retail ecosystem. 🔗 link.europa.eu/X6hmqt #TransitionPathways @EU_Growth

Through the EU Chemicals Platform industry, SMEs & policymakers work together to make Europe’s chemical sector more sustainable, innovative & resilient - reinforcing strategic autonomy & quality jobs. Join the dialogue 👉 link.europa.eu/qkg8TX #TransitionPathways

The EU Retail Platform connects retail stakeholders across Europe. ✔ Step into retail’s green and digital transition ✔ Discover retail news and events ✔ Share your actions and collaborate with others 🔗 Start here: link.europa.eu/X6hmqt #TransitionPathways @EU_Growth

🛒 Are you already supporting the retail transition? Submit or update your pledge on the EU Retail Platform. ✔ Share your best practices ✔ Learn from others ✔ Gain EU-wide visibility 🎥 Watch the video and engage: link.europa.eu/X6hmqt #TransitionPathways @EU_Growth

🧭 Check out our #TransitionPathways Stakeholder Support Platform to help organisations stay competitive during Europe’s green & digital transition: link.europa.eu/ftmp93 📽️Access EU policy & funding updates, connect with partners, update your pledges & more.

Breaking the Timescale Barrier: Generative Discovery of Conformational Free-Energy Landscapes and Transition Pathways 1. A groundbreaking study introduces Gen-COMPAS, a novel framework that uses generative modeling and committor-guided path sampling to explore rare molecular events. This method reconstructs transition pathways and free-energy landscapes without predefined variables, significantly reducing computational costs compared to traditional molecular dynamics simulations. 2. Gen-COMPAS leverages a diffusion model to generate physically realistic intermediate conformations and uses committor-based filtering to identify transition states. This iterative approach allows for rapid convergence of transition-path ensembles within nanoseconds, a dramatic improvement over conventional methods that require orders of magnitude more sampling. 3. The framework is demonstrated on systems ranging from a miniprotein to a ribose-binding protein and a mitochondrial carrier. It efficiently retrieves committor maps, transition states, and free-energy landscapes, providing deep mechanistic insights and practical applications in drug discovery and protein design. 4. A key innovation of Gen-COMPAS is its ability to model protein-ligand complexes and other heterogeneous biomolecular assemblies without adaptation. This capability, combined with its GPU optimization, makes it scalable to large biomolecular systems and applicable to a wide range of biological processes. 5. The study shows that Gen-COMPAS can reduce sampling times by hundreds of times, making it an exceptionally efficient tool for investigating rare events in complex systems. It also provides a unified approach to studying both thermodynamics and kinetics, offering a comprehensive view of molecular transitions. 6. The framework's efficiency and accuracy are demonstrated through applications to fast-folding proteins like Trp-cage, binding-upon-folding processes in ribose-binding proteins, and the conformational transitions of the mitochondrial ADP/ATP carrier. These examples highlight Gen-COMPAS's potential to transform our understanding of molecular dynamics. 📜Paper: arxiv.org/abs/2510.24979 #MolecularDynamics #GenerativeModeling #ComputationalBiology #RareEvents #FreeEnergyLandscapes #TransitionPathways

Following the Committor Flow: A Data-Driven Discovery of Transition Pathways 1. This study introduces an iterative framework to discover transition pathways in molecular systems, leveraging the committor probability—a key reaction coordinate—to enhance sampling and refine pathways until convergence. 2. The method uses neural networks to approximate the committor function, identifying dominant transition channels as discretized strings on isocommittor surfaces. These pathways are iteratively refined to improve sampling accuracy. 3. The approach is validated on benchmark systems, including a two-dimensional model potential, peptide conformational transitions, and a Diels-Alder reaction, demonstrating its effectiveness in uncovering multiple relevant pathways. 4. A key innovation is the merging of overlapping pathways based on transitions between Voronoi cells, which helps avoid redundant sampling and provides a more accurate representation of reaction mechanisms. 5. The study also proposes a preliminary framework for selecting meaningful collective variables (CVs) from a large pool of candidates, based on the gradient of the committor, enhancing the applicability of the method. 6. The iterative nature of the approach ensures that the sampling converges, as demonstrated by the decreasing Kullback-Leibler divergence (KLD) values across iterations, confirming the robustness of the methodology. 7. The estimated reaction rates obtained from the converged pathways are consistent with previous studies, validating the accuracy of the proposed method in predicting rare events in molecular dynamics. 📜Paper: arxiv.org/abs/2507.21961 #MolecularDynamics #TransitionPathways #ComputationalBiology #MachineLearning #RareEvents #ConformationalChanges

🛎️ 2025 European Accommodation Barometer: Industry trends and hotelier sentiment. 🛎️ Download your copy today to better understand travel sector's #TransitionPathways 🛎️ via #EUTourism Platform transition-pathways.europa.e…

🌱💡#innovazione e #sostenibilità si incontrano con #TransitionPathways 🌍Percorso europeo che supporta le #imprese nella transizione verde e digitale 📢Candida la tua iniziativa, può diventare una best practice europea #camcomtorino #een @EEN_Italia 👇to.camcom.it/transition-path…

#ECEMP2024 Join us 🪧R2:Energy Carriers&Materials 🕙11:30-13:00 🎓Bidirectional soft-linking of a Capacity Expansion Model with a Production Cost Model to evaluate the feasibility of #transitionpathways to #carbonneutrality in #powersector. 👨‍🎓N Kleanthis @TEES_Lab #iamcompact

📢The CoR published the ‘Regions and cities shaping the European Green Deal 2.0’ Report, stressing the need to ensure cities with the necessary tools to design their #transitionpathways. #BUILDSPACEproject supports cities' resilience and sustainability🏙️. op.europa.eu/en/publication-…

🍷@NicoBefort starting the 2nd presentation in this CREST #RSAWebinar ➡️#Sustainability #Transitions towards a #Bioeconomy. ‘The case of the wine industry’ #Transitionpathways

Thanks for the continued support Gemma, our pupils and parents you work with are delighted with all you do for them. #transitionpathways

🌟Today at GECES (expert group), we saw interesting presentations by the @EU_Commission on #SEAP implementation, #TransitionPathways, & by the @OECD on labels. ⚠️🏷️We must ensure labels & certifications don't lead to silo thinking about SE enterprises. #GECES

#transitionpathways is not about problems It is more about solutions to the challanges says @KSchreiberEU @EU_Growth

#Cameroon 🇨🇲 @WFP cash assistance 💵enables beneficiaries to build their resilience and livelihoods #TransitionPathways #ChangingLives

'Tackling the challenges and opportunities of the Green transition with inspiring women. We need all stakeholders’ views, expertise and commitment to make it a successful journey.' #WILMember Kristin Schreiber on the green transition.♻️#TransitionPathways @wileadership @EU_Growth

Today at the Booth of the @EU_Commission Kristin Schreiber presented the #transitionPathways in the Chemical Industry. #Innovation for #Europe #EENCanHelp een-deutschland.de

Yesterday @DUCC_EU participated in the #Transitionpathways for #chemicals We discussed the🇪🇺 sustainable & digital transition. Highlighted: ✅Sustainable competitiveness for the chemicals value chain 🧪Sectoral expertise of DUCC lnkd.in/ekpu_RBH