Special Issue Information Dear Colleagues, The Special Issue, “Symmetry in Process Optimization”, aims to explore the pervasive role of symmetry principles in advancing optimization techniques across diverse scientific domains (https://lnkd.in/d4YfWyG8). With a focus on the integration of machine learning and optimization methodologies, this Special Issue seeks to elucidate how symmetry considerations can enhance algorithmic efficiency, model robustness, and solution quality in various application areas. By fostering interdisciplinary dialogue, this collection will illuminate novel approaches for tackling complex optimization problems in fields such as engineering, physics, chemistry, biology, and beyond. Through theoretical analyses, algorithm development, and real-world case studies, this issue aims to showcase the transformative potential of symmetry-aware optimization techniques in addressing contemporary scientific challenges. Dr. Aleksandar Djordjevic Prof. Dr. Miladin Stefanović Guest Editors
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Call for Papers: Special Issue on Nonlinear Dynamics and Vibration ----------------------------------------------------------------------------------- I am pleased to announce the launch of a Special Issue of Applied Sciences focusing on Nonlinear Dynamics and Vibration. We invite research articles, review papers, and case studies on topics including: 🔹 Tuning nonlinearities 🔹 Internal and parametric resonances 🔹 Self-excited oscillations 🔹 Energy transfer phenomena 🔹 Bifurcation and stability 🔹 Reduced-order models 🔹 Experimental observations Submit your contributions to advance the frontier of nonlinear dynamics! Check the link below for more details. Guest Editors: Dr. Giovanni Iarriccio, Dr. Matteo Strozzi #NonlinearDynamics #Vibration #Engineering #Research #CallForPapers
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🔥 Call for Papers: Special Issue on Application of Computational Techniques in Analytical Chemistry and Molecular Systems 📢 Deadline: 30 September 2024 🌟This Special Issue of Processes MDPI aims to attract high-quality original research contributions and review articles in the field of “Application of Computational Techniques in Analytical Chemistry and Molecular Systems”, edited by Dr. xue yong from The University of Sheffield. This could include individual experimental and theoretical studies or combined approaches. Specific topics for the Special Issue include, but are not limited to, the following: ✔ Molecular modeling and simulations for drug discovery and development. ✔ Computational methods for the analysis of complex biomolecular systems. ✔ Machine learning and artificial intelligence applications in analytical chemistry. ✔ Quantum chemistry approaches to elucidate molecular behavior. ✔ Big data analytics for high-throughput chemical analysis. ✔ Computational advances in spectroscopy and mass spectrometry. ✔ Chemoinformatics and bioinformatics in chemical analysis. ✔ Computational methods for material characterization and nanotechnology. ✔ Predictive modeling and data-driven approaches in analytical instrumentation. ✔ Innovative software tools and algorithms for analytical chemistry. Your contributions to this special issue will be greatly appreciated. 👉 https://lnkd.in/dmQYNKfs #openaccess #specialissue #callforpapers
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Dear Colleagues, Microwave-assisted synthesis has transformed the field of materials science, providing swift and energy-efficient techniques for the development of advanced materials with meticulous structural precision. This Special Issue is dedicated to the most recent advancements, techniques, and uses of microwave-assisted synthesis in the creation of materials for a variety of applications, such as energy storage, catalysis, environmental clean-up, electronics, and medical devices. Concentrating on this cutting-edge approach, we seek to compile research that illustrates the way that microwave-assisted techniques are expanding the limits of material design, scalability, and functionality. Topics of Interest We welcome submissions on a variety of topics, including, but not limited to, the following: Nanostructured materials: synthesis of nanoparticles, nanowires, and thin films using microwaves. Sustainable and green synthesis: production of environmentally friendly materials and adoption of green chemistry methods through microwave synthesis. Energy storage materials: development of advanced supercapacitors, batteries, and materials for hydrogen storage. Catalytic applications: creation of catalysts for use in environmental and industrial settings. Biomedical applications: generation of materials for drug delivery, biosensors, and tissue engineering through microwave synthesis. Electronic and optical materials: fabrication of sophisticated electronic, magnetic, and optical materials via microwave techniques. Dr. Prasad E. Lokhande Dr. Rednam Udayabhaskar Guest Editors
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🧠💡 We think typically of laboratories when we imagine how knowledge is discovered in science. However, there is another way of knowledge discovery which is referred to “undiscovered public knowledge” that dates to Swanson (1986). 🌐🔬 Public knowledge may exist in a published form but remain inaccessible or only partially understood. Undiscovered public knowledge encompasses several cases. For instance, there are articles that are basically never read by anyone – except by the author and the reviewers. While the knowledge contained in these articles is technically public, it remains undiscovered. The most intriguing form of undiscovered public knowledge, as discussed by Swanson, arises when information is not explicitly discussed in any single article. Instead, disparate findings must be pieced together from multiple sources, like assembling a puzzle. But how can we locate and assemble these scattered pieces across the literature? Swanson's analysis begins with identifying two sets of articles, or literatures, which appear complementary yet lack direct connections. These literatures remain unconnected if they share no common articles, authors or citations (Swanson, 1987). In the 1980s, Swanson studied two classic examples of medical literatures that were minimally connected, if at all, yet contained multiple links between them of the type “A affects B” in one literature and “B affects C” in the other. This led to the formation of novel hypotheses when combined. One case involved articles on Raynaud's disease and those on fish oil (Swanson, 1986b). Swanson observed parallels between pathological alterations in Raynaud's disease and physiological effects of fish oil consumption, suggesting a potential therapeutic effect. Subsequent clinical studies validated this hypothesis (Swanson, 1993). 🤔💡 I am wondering whether and how we can leverage LLMs to scale such approaches of discovering so far undiscovered public knowledge. Literature: Swanson (1986a): https://lnkd.in/e-fDsrWY Swanson (1986b): https://lnkd.in/e-ftEJmt Swanson (1987): https://lnkd.in/eiP9rPBu Swanson (1993): https://lnkd.in/erbsDJNH
Undiscovered Public Knowledge | The Library Quarterly: Vol 56, No 2
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🚀 Exciting News! 🚀 I'm thrilled to announce the release of a special issue in the Applied Sciences Journal focusing on Non-Destructive Testing and Infrared Thermography. This issue showcases cutting-edge research and advancements in these critical fields, highlighting innovative methodologies, practical applications, and future directions. 📅 Issue Highlights: - In-depth studies on the latest non-destructive testing techniques. - Comprehensive reviews on the applications of infrared thermography in various industries. - Case studies demonstrating real-world applications and quantitative results. Whether you are a researcher, engineer, or industry professional, this special issue offers valuable insights and knowledge that can enhance your understanding and practices in non-destructive testing and infrared thermography. Check out the special issue here: https://lnkd.in/dGaGWr8q 🗓️ Submission Deadline: Don't miss out! The deadline for manuscript submissions is 20.12.2024. Let's advance the field together! #NonDestructiveTesting #InfraredThermography #AppliedSciences #Research #Innovation #Engineering #NDT #Infrared #Thermography #SpecialIssue
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Call for Papers 📢 : Special Issue on "#Mechanics of #Construction #Materials and #Structures: #Theory and #Computational #Issues" I am excited to announce a #Special #Issue in the journal #Applied #Sciences on "Mechanics of Construction Materials and Structures: Theory and Computational Issues." I invite researchers to submit their latest work on topics such as: ✅ Advanced constitutive modeling of innovative materials ✅ Multi-scale and multi-physics analysis ✅ Failure analysis and fracture mechanics ✅ Modeling of retrofitted structural members ✅ Computational methods for dynamic/static analysis ✅ New theoretical formulations for design ✅ Case studies in theoretical/computational mechanics ✅ Integration of experimental data with models ✅ Applications of AI and machine learning I look forward to your contributions! #Guest #Editors: Dr. Maria Concetta Oddo Prof. Dr. Liborio Cavaleri
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🙌 Call to read the fourth published paper in the Special Issue "Modeling, Reliability and Health Management of Lithium-Ion Batteries—2nd Edition" 🔗 https://lnkd.in/gFjv99nS 📌 Guest Editors: Dr. Fei Feng, Prof. Dr. Rui Ling, Dr. Yi Xie, Prof. Dr. Shunli Wang, Dr. Jinhao Meng and Dr. Jiale Xie 📚 A Physics–Guided Machine Learning Approach for Capacity Fading Mechanism Detection and Fading Rate Prediction Using Early Cycle Data 👉 by Jiwei Yao, Qiang Gao, Tao Gao, Benben Jiang and Kody Powell 👉 from University of Utah and Tsinghua University 👉 https://lnkd.in/g5V6yPVh 📩 To submit to the Special Issue or get more information, please feel free to contact me <melinda.zhang@mdpi.com>. #batteries #batterymodel #batteryreliability #batterymanagement Batteries MDPI
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Looking for contributions! A special issue of Computation (ISSN 2079-3197) titled 🔸Deep Learning Based Hybrid Modelling of Poromechanics and Fluid Dynamics 🔸 is now open for submission . We invite original research articles, reviews, and case studies including (but not limited to) the following specific topics: 👉 Deep learning models for (coupled) poromechanical and fluid dynamics simulations. 👉 Hybrid modeling frameworks integrating deep learning and physical laws. 👉 Applications of AI in geosciences, petroleum engineering, and related fields. 👉 Data-driven approaches for multiscale and multiphysics problems in poromechanics and fluid dynamics. 👉 Theoretical advancements in hybrid modeling using deep learning, especially in reservoir simulations.
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🔊EMEUNET presents scientific sessions. From Causal Inference to the World of Systematic Literature Reviews 📝 Learn about causal inference, a field in which assumptions, study design, methods a researcher can help to draw a causal conclusion based on data. Also about different types of systematic literature reviews📃📜, and how they can answer different research questions. Learn what you should take into account when interpreting or performing different types of systematic literature reviews. 🗓️ Thursday, June 13, 2024 🕛 13:30-14:45 p.m.
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📣 New Special Issue " Preparation and Application of Intelligent Hydrogel Composites", edited by Dr. Rasool Nasseri from the University of Waterloo and Dr. Amir Jangizehi from Johannes Gutenberg University Mainz, is open for submissions in Processes MDPI 🔗 https://lnkd.in/dEEa2NHA The equilibrium self-assembly of microstructures within hydrogels has been known for millennia and fundamentally understood over the past two centuries. The minimization of potential energy and entropy provides a thermodynamic basis for microstructures to settle into their equilibrium configurations. The design of intelligent hydrogels, capable of movement, morphing, energy transformation, and even mimicking life functions, requires the non-equilibrium assembly of their adaptive microstructures. Despite significant advancements, developing intelligent hydrogels with versatile user-defined mechanical properties, mass transport behavior, and biologically inspired functions remains a formidable challenge. This Special Issue on the “Preparation and Application of Intelligent Hydrogel Composites” will focus on the development of multicomponent intelligent hydrogels to address these challenges of single-component hydrogels. This Special Issue invites the submission of original research on topics including, but are not limited to, the following: Anisotropic intelligent hydrogels; Stimuli-responsive hydrogel nanocomposites; Shape-morphing multi-layer hydrogels; Gradient hydrogel nanocomposites; Microporous hydrogels; Fast-actuating hydrogels. 📅 Submission Deadline: 15 July 2025
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