It's #FreePaperFriday, and I'd like to share a paper about finding materials to make hydrogen via water splitting. Hydrogen can be a carbon-free way to provide energy (either combustion or in fuel cells), but where the H comes from is the key to that "can be". Splitting H from water using solar energy (photocatalytic processes) is an exciting opportunity to create H2 as a carrier, but there hasn't been a material that has "won" yet and splits water efficiently. At Purdue University School of Materials Engineering Prof. Arun Mannodi Kanakkithodi and his graduate students Maitreyo Biswas and Rushik Desai used a machine learning approach to screen bazillions (ok, I made that up, more like 150,000) of dopant combinations in halide perovskites that could create a material with the right band gap for water splitting. The rapid screening methods they present were then checked using DFT in more detail, materials with efficiencies of almost 25% were predicted, and I hope researchers will be working on fabricating these for experimental testing in the future. https://lnkd.in/g4MGz_2F
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This study from IEEE Xplore explores the engineering of non-living vesicles, also known as #biomachines, using a #syntheticbiology approach. The paper introduces a groundbreaking method for developing Frequency Dependent Network Equivalents (FDNE) using an online recursive least squares (RLS) identification algorithm in the z-domain. By modeling reduced power systems as FDNE, it offers a unique perspective on enhancing system efficiency and reliability. Furthermore, the study combines Transient Stability Analysis (TSA) and FDNE using real-time digital simulators, providing a comprehensive approach to dynamic system assessment. The proposed algorithm seamlessly integrates TSA and FDNE components, offering valuable insights into aggregating external areas for TSA and formulating FDNE using RLS identification. One of the most compelling aspects of this research is its practical application in evaluating power grid performance. The study shows that the reduced order model aligns closely with the full model through experiments on Kundur's two area test system. This enables real-time simulations for dynamic assessment of large power systems. The work opens doors to new possibilities in power system engineering and offers promising avenues for enhancing grid stability and efficiency. It will be interesting to see how these findings shape the future of #synbio and power system dynamics. For deeper insights into this innovative approach, please read the full paper below. #SynbioThursday Franck Molina
Reconfigurable Biochemical Circuit Synthesis from Biomachine Specification
ieeexplore.ieee.org
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Can the world of engineering cross over into human function? YES! It sure turns out we are very electrical and there is LOTS of work going to to algo and model human function (shhhh...you cannot do it fully without the endocannabinoid system..). When you look at a cell and cell division rates and factors, it turns out you can pretty well model that electrically, or at least these fellas made a nobel stab at it. Again, LOTS of work in this area. "biofields" a useful search term. https://lnkd.in/g8iN6tte
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🚀 New Breakthrough in Coacervate Microdroplet Stability! 🚀 The latest study from Advait Holkar in Samanvaya Srivastava's group reveals how comb polyelectrolyte (cPE) stabilizers enhance the stability of complex coacervate microdroplets, crucial for applications like drug delivery and bioreactors. This research was made possible by leveraging BioPACIFIC MIP's automated Living Biofoundry, which enabled high-throughput materials characterization and significantly accelerated the discoveries. 🔗 Read more about the findings: https://lnkd.in/gNPTwKtT Published in Soft Matter by the Royal Society of Chemistry California NanoSystems Institute at UCLA, Shang Gao, Kathleen Villasenor, Michael Lake #MaterialsScience #Research #Automation
Quantitative turbidimetric characterization of stabilized complex coacervate dispersions
pubs.rsc.org
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Latest publication from Life Science Technology Laboratory (LiST) at the Danube Private University Austria. The new publication “Manipulating Ion Transport Regimes in Nanomembranes via a “Pore-in-Pore” Approach Enabled by the Synergy of Metal–Organic Frameworks and Solid-State Nanochannels” by Dr. Juan Allegretto, in collaboration with the Soft Matter Laboratory in Argentina, is now available in ACS Nano. This manuscript explores the modification of Solid-State Nanochannels (SSN) with Metal-Organic Frameworks (MOFs). The confined growth of Zr-based MOF alters the ion transport regime of the system, switching from diode-like to ion-current saturation regimes based on the synthetic approach. Additionally, by considering the dependence of the charge state of the UiO-66 MOF on the protonation degree, pH changes offered a mechanism to tune the iontronic output (and selectivity) among different regimes, including anion-driven rectification, cation-driven rectification, ion current saturation, and ohmic behavior. The creation of nanofluidic membranes with different modulable transport regimes has attracted special interest in the design of integrated ionic circuits for electric signal processing, ion manipulation and logical devices, as well as in other applications related to sensing, filtration, and energy conversion. To view the publication please visit: https://lnkd.in/dF7-hged #science #research #innovation #lifescience #lifesciencetechnology #chargetransport #ions #membranes #metalorganicframeworks #nanochannels #austria #niederösterreich #nö #danubeprivateuniversity
Manipulating Ion Transport Regimes in Nanomembranes via a “Pore-in-Pore” Approach Enabled by the Synergy of Metal–Organic Frameworks and Solid-State Nanochannels
pubs.acs.org
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Discover how transient absorption spectroscopy reveals groundbreaking insights into C–O cross-coupling reactions. Witness the energy transfer from iridium to nickel in a dance of light and chemistry, paving the way for future sustainable chemical processes. #taspectroscopy #innovation
Analytical Theory of Attosecond Transient Absorption Spectroscopy of Perturbatively Dressed Systems
mdpi.com
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📰⚡🔋🔬New publication is out today in #EnergyAdvances, Royal Society of Chemistry! What better way to understand how a #battery works, down to its #chemistry, than by looking directly into it while it operates? To achieve this, we developed a novel technique: In-Operando Electrochemical Fluorescence Microscopy. If you're interested in learning more, check out our paper, "Quantitative Local State of Charge Mapping by Operando Electrochemical Fluorescence Microscopy in Porous Electrodes", available on open-source https://lnkd.in/gAjA6UQs Huge thanks to my fellow researchers and co-authors at the #AzizLab at Harvard John A. Paulson School of Engineering and Applied Sciences for this achievement! 🙌
Quantitative local state of charge mapping by operando electrochemical fluorescence microscopy in porous electrodes
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🔋 📖 Thrilled to share another new publication by BayBatt member Francesco Ciucci et al. in Joule (IF: 39.8), a top-tier energy journal! The authors study electrochemical impedance spectroscopy (EIS) through the lens of the distribution of relaxation times, a powerful tool for simplifying EIS data analysis. EIS is a cornerstone in energy science, chemistry, and biology, but traditional methods can be complex. The article offers a comprehensive overview of the field, highlighting future opportunities and advocating for standardized, automated DRT analysis tools to empower a wider range of researchers. Read the full article for free here: https://lnkd.in/dtghcmUS #EIS #Electrochemistry #EnergyScience #DRT #Research #Innovation #Joule #Batteries
University Professor || Formerly at HKUST & Caltech || Expert in Solid-State Energy Conversion and Storage || Fellow of the Royal Society of Chemistry
🚀 Excited to share our latest publication in Joule (IF: 39.8), a premier journal in the field of energy on electrochemical impedance spectroscopy (EIS)! We explore the distribution of relaxation times (DRT) as a powerful non-parametric tool for simplifying EIS data analysis. EIS is essential in energy sciences, chemistry, and biology, but traditional methods are often complex. Our article provides an overview of this field, tracing opportunities for future development and highlighting the need for standardized, automated DRT analysis tools to make this approach accessible to more researchers. A huge thank you to my amazing co-authors: Maradesa Adeleke, Baptiste PY, Jake Huang, Yang Lu, Pietro Iurilli, Aleksander Mrozinski, Ho Mei Law, Yuhao Wang, Zilong Wang, Jingwei Li, Shengjun Xu, Quentin Meyer, Jiapeng Liu, Claudio Brivio, Alexander Gavrilyuk, Kiyoshi Kobayashi, Antonio Bertei, Nicholas Williams, Chuan Zhao, Michael Danzer, Mark Zic, Phillip Wu, Ville Yrjänä, Sergei Pereverzyev, Yuhui Chen, Weber André, Sergei Kalinin, Jan Philipp Schmidt, Yoed Tsur, Bernard Boukamp, Qiang Zhang, Miran Gaberšček, Ryan O'Hayre, for their dedication and collaboration! 🙏 Read more here: https://lnkd.in/ewqt2aDr (free for 50 days!) #EIS #Electrochemistry #EnergyScience #DRT #Research #Innovation #Collaboration #Joule
Advancing electrochemical impedance analysis through innovations in the distribution of relaxation times method
sciencedirect.com
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BIOVIA's Materials Studio (MS) empowers scientists across industries. Our comprehensive modeling and simulation tool helps scientists predict and understand the relationships between a material’s atomic and molecular structure and its properties and behavior. A recent study on lithium nickel phosphate (LNP) highlights that incorporating Fe into LNP enhances electrochemical performance, particularly cycle stability. The researchers utilized the CASTEP module in MS to calculate ionic conductivity, binding energy and lithium intercalation potential. These calculations were crucial for elucidating the mechanism and providing a rational basis for future improvements. Learn more: https://lnkd.in/gP-dpcsV.
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Our team's collaborative research with the title " SUPERCELLS: a novel microfluidic reactor architecture for ultra-fast sequential delivery of chemical reagents" has been published in #Lab_on_a_Chip. In this article, we explain the working principles of a SUPERCELL for #ultra_fast, sequential delivery of chemical reagents. Furthermore, we demonstrate a specific design using a hierarchical branching structure with average switching times of 0.23s. This concept enables highly #parallel, #cost_efficient, and faster workflows for applications requiring multiple reagent cycles. This achievement is the result of genuine and great teamwork with amazing authors: Ahmed Taher, Jelle Fondu, Lei Zhang, Tinne De Moor, Kherim Willems, Olivier Henry, Peter Peumans and Tim Stakenborg. Link to the article: https://lnkd.in/e9HUQKC9 #research #innovation #DNA_synthesis #DATA_Storage #imec #team_work
SUPERCELLS: a novel microfluidic reactor architecture for ultra-fast sequential delivery of chemical reagents
pubs.rsc.org
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✨Recent development of a unique computational technique that employs quantum tunneling coupled with artificial intelligence to detect complex carbohydrate anomers and stereoisomers with excellent sensitivity. 💫Highlighted as a cover page article in ACS Central Science🔓 ➡️https://lnkd.in/gPuCBbZ4 ❇️Prof. @Biswarup Pathak's group opens up a new route for carbohydrate sensing, which can be seamlessly integrated with next-generation sequencing technology for real-time analysis. ACS Publications American Chemical Society American Chemical Society International #Carbohydrates #Energy #ACSCentralScience #Openaccess #Mathematical #methods #Molecularstructure #Tunneling #sensing
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Associate Professor, Electrical Engineering & Biomedical Engineering
3moThanks for sharing! I appreciate it!