International Conference on Quantum Energy (ICQE)’s Post

💥 We invite you to contribute to the new Special Issue: "CFD Simulation in Energy Engineering Research"! 👉 Check it out: https://lnkd.in/e67mippk 🎓 Guest Editors: Dr. Zdeněk Jegla and Dr. Tomáš Juřena from Brno University of Technology 📍 If you are interested in submitting a paper to this Special Issue, please feel free to contact Managing Editor Tamara Stokić at [email protected] #CFD #computationfluiddynamics #modelling #simulation #fluidflow

🎊 Glad to announce the new Special Issue "CFD Simulation in Energy Engineering Research" is open for submissions. Energies MDPI 👉 Guest Editors: Dr. Zdeněk Jegla Dr. Tomáš Juřena Brno University of Technology 📆 Deadline for manuscript submissions: 10 March 2025. 👉 More details: https://lnkd.in/eBBbaSWy ✨ Submit your original research or critical review papers now and be part of this Special Issue! #CFD #computationfluiddynamics #modelling #simulation #fluidflow #numericalmodel #heattransfer #masstransfer

First edition of the Spring School on DFT, Molecular Dynamics and Energy Efficiency, May 19-21, 2025 ICAMSEE is proud to announce the inaugural edition of the Spring School on Density Functional Theory (DFT), Molecular Dynamics, and Energy Efficiency. This event, held from May 19 to 21, 2025, brings together young researchers eager to deepen their expertise through lectures and seminars led by international experts. You can register to the event under the following link: https://lnkd.in/erb-Ghyt -------------------------------------------------------- Please consult also the Quantum Server Marketplace platform for the outsourcing of computational science R&D projects to external expert consultants through remote collaborations: https://lnkd.in/eRmYbj4x #materials #materialsscience #materialsengineering #computationalchemistry #modelling #chemistry #researchanddevelopment #research #MaterialsSquare #ComputationalChemistry #Tutorial #DFT #simulationsoftware #simulation

First edition of the Spring School on DFT, Molecular Dynamics and Energy Efficiency, May 19-21, 2025 ICAMSEE is proud to announce the inaugural edition of the Spring School on Density Functional Theory (DFT), Molecular Dynamics, and Energy Efficiency. This event, held from May 19 to 21, 2025, brings together young researchers eager to deepen their expertise through lectures and seminars led by international experts. You can register to the event under the following link: https://lnkd.in/erb-Ghyt -------------------------------------------------------- Please consult also the Quantum Server Marketplace platform for the outsourcing of computational science R&D projects to external expert consultants through remote collaborations: https://lnkd.in/eRmYbj4x #materials #materialsscience #materialsengineering #computationalchemistry #modelling #chemistry #researchanddevelopment #research #MaterialsSquare #ComputationalChemistry #Tutorial #DFT #simulationsoftware #simulation

Here is the #RSCPoster by Bharat showing laser irradiated conversion of carbon for energy storage application.

We will start to present the speakers 🎙 here and first out is. Rahul Palulli, Ph.D. completed his Ph.D. at the University of Melbourne, Australia in 2020 on the topic of DNS on flame-wall interaction. Currently he is working as a postdoctoral researcher at the Royal Institute of Technology "During my tenure at KTH, I have been working on steam-diluted combustion of several fuels including bio-syngas, hydrogen and methane investigating the flame characteristics, emissions etc"   His talk on the SweSIFH seminar focuses on the NO formation in a steam-diluted, non-premixed hydrogen/air flame, with the help of a combination of large eddy simulation (LES) and zero-dimensional (0D) perfectly stirred reactors (PSRs). This analysis is performed at four salient points which are identified based on LES results. The LES outputs at these identified points are used as inputs to the PSRs leading to quantification of the contributions of different NO formation pathways and individual reactions to NO formation, visualization of chemical reaction pathways and investigation of sensitivity of NO to the individual reactions. The major outcomes of this study will be presented. Don't forget to report your interest to us and come to hear him speak! #swesifh #event #heattransfer #fluidmechanics

Thrilled to announce our latest publication in ACS Applied Materials & Interfaces! 🌱🔬 Our research takes an exciting step forward in the field of organic solar cells (OSCs), integrating data-driven equations from quantum mechanical (QM) descriptors with physics-informed machine learning (PIML) models. This approach allows us to predict key OSC parameters like short-circuit current (Jsc), open-circuit voltage (Voc), fill factor (FF), and power conversion efficiency (PCEmax) with high accuracy—even with limited data. Using high-throughput QM calculations and the SISSO++ method, we created interpretable models that offer valuable insights into OSC performance. We also tested our framework on a new OSC dataset, demonstrating its effectiveness in identifying top-performing materials. This work bridges the gap between experimental results and theoretical predictions, pushing the boundaries of sustainable energy technologies! ⚡🔋 You can read the full article here: https://lnkd.in/dXZtQUsH #SustainableEnergy #OrganicSolarCells #MachineLearning #RenewableEnergy #QuantumMechanics #ACSAppliedMaterials #SolarTech

I am excited to share that my poster on "Carbon Quantum Dots Derived from Spent Local Liberica Coffee Ground for Applications in Electric Double-layer Capacitor (EDLC)" has been selected for The Peeref International Poster Challenger: Summer 2024. This research highlights the innovative use of sustainable materials to enhance energy storage systems, making them more efficient and environmentally friendly. The unique properties of Carbon Quantum Dots (CQDs), such as increased surface area, biocompatibility, and excellent optical and electrical properties, make them a significant advancement in the field of energy storage. Our study employs various characterizations, including XRD, TEM, LSV, CV, and GCD, to comprehensively analyze these CQDs and demonstrate their potential. I would greatly appreciate your support in voting for my poster. Your vote will help highlight the importance of sustainable and innovative solutions in energy storage. #carbonquantumdots #materialscience #supercapacitor #edlc #battery #polymer #coffee

Delighted to share that Ahmad Ali Awais, Doctoral Candidate (DC12) of the iSOP project is working on a numerical model for heat exchangers with fins developed by Fives - Energy | Cryogenics, a crucial element of his PhD📖: "Numerical Investigation of the Mixing Process in Headers of sCO2 Heat Exchangers". Ali is conducting his research at the University of Stuttgart and will collaborate closely with Fives - Energy | Cryogenics as part of his project 🤝. His work is supervised by Prof. Joerg Starflinger and Dr. Markus Hofer, and we are eager to see how this research contributes to advancements in supercritical CO2 technologies🔬. #research #heattransfer #supercriticalCO2 #sCO2 #ISOP #innovation #engineering #WP3

📯 Following our survey on #QuantumReinforcementLearning [https://lnkd.in/dWsNCQsS], I want to keep you updated on the latest developments in the field via the #QRLarXiv. 🗓 Let's dig into the three works from the month of June: 📝 The paper "Variational quantum circuit based demand response in buildings leveraging a hybrid quantum-classical strategy" [https://lnkd.in/dWf2dg8Y] (published in Applied Energy, vol. 364, pp.123244) by Akshay Ajagekar and Fengqi You investigate the use of QRL for energy management in grid-interactive buildings. The authors employ an VQC-based Q-learning approach in several toy-model simulations. Compared to classical DDPG baselines, a reduction in model size and improvement regarding result quality is reported. 📝 The preprint "Trainability issues in quantum policy gradients" [https://lnkd.in/d_A_dB3J by André Sequeira and colleagues investigates the implications of different measurement decoding strategies on the trainability of quantum policy gradient models. They discover a strong susceptibility to barren plateaus of parity-based global measurements, while more local approaches are trainable in at least logarithmic depth. The authors unveil that for large action spaces all formulations exhibit barren plateaus, indicating the necessity for further research in this direction. ✅ For monthly updates on recent developments just follow #QRLarXiv. #quantum #qantumcomputing #quantumsoftware #quantummachinelearning #qml #quantumreinforcementlearning #qrl #machinelearning #ml #reinforcementlearning #rl #fraunhofer #fraunhoferiis