🔋 New review: Multi-Objective Optimization of CPCM–Liquid Cooling Hybrid Thermal Management Systems for Lithium-Ion Batteries via NSGA-II Optimized Artificial Neural Networks 📑 This review outlines recent advances in Si/MXene NCs, covering fabrication strategies, structural engineering, and various configurations, including particulate materials, three-dimensional architectures, films, and fibrous systems, and establishes the relationship between structural design and electrochemical behavior. 👉 Full article: https://lnkd.in/dyEZtAX6 ✒️ by Narasimharao Kitchamsetti, sungwook mhin and Hyuksu Han #Mdpi #OpenAccess #Batteries
Multi-Objective Optimization of CPCM–Liquid Cooling Hybrid Thermal Management Systems for Lithium-Ion Batteries
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Can a 2D material power quantum technologies? Dr. Sanjay Behura (SDSU) joins us to explore spin defects in hexagonal boron nitride for quantum sensing & communication. Tues., May 19 at 11 AM PT, link in comments #nanoscience #2Dmaterials cc: Berkeley Lab
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🔬 Application Series – Quantum Materials: 1 of 3 How do emergent quantum phenomena manifest at the nanoscale? Hummingbird Scientific offers a full suite of operando sample holders optimized for characterization of emergent quantum effects and magnetic-field driven effects using in-situ atomic resolution TEM, electron holography, or Lorentz TEM. Confidently link applied bias, cryogenic temperature, or in-plane magnetic field to real-time nanoscale transformations to inform development of the next generation of quantum materials and devices. 🧲Magnetizing Holder applying up to 900 Gause in-plane with passive beam deflection compensation •https://lnkd.in/gt5uBCtU 🧊⚡🔥Cryo-biasing + Heating accessing temperatures from -170 °C to beyond 1000 °C with concurrent biasing •https://lnkd.in/g6qxw3Z ⚡Biasing: Flexible carrier allowing biasing of your own microfabricated devices or our standard chips • https://lnkd.in/gkCJfTM 🔥⚡MEMS Heating + Biasing accessing temperatures from room temperature to beyond 1000 °C with concurrent biasing •https://lnkd.in/gYuZD3d 🔧 Key Features: ✅ Reproducible chip loading: Industry leading simple and replicable experiment configuration ✅ Precise, ultra-low drift measurements at temperature or under applied bias ✅ Closed-loop cooling and heating control with dual temperature sensing at cryogenic temperatures ✅ Low-noise wiring for accurate, stable measurements ✅ Online chip and consumable store with next-day shipping for registered users 📷 Image Source: S. Zhang, A.K. Petford-Long, C. Phatak, et al. Scientific Reports (2016) DOI: 10.1038/srep31248 👇 See the comments below for links to our product pages. ➡️ Stay tuned for more posts exploring this application of our sample holders. 🔔 Follow Hummingbird Scientific to stay up to date on the latest in-situ TEM, SEM, and X-ray tools and workflows. #TEM #LorentzTEM #InSitu #Operando #Quantum #QuantumMaterials #MagneticMaterials #Skyrmions #Nanotechnology #MaterialsScience #HummingbirdScientific
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Researchers have developed a system where magnetic nanowires, just nanometers wide, can act as identifiable biolabels. Read the paper: https://lnkd.in/eYCVgwva This IEEE J-ERM research presents a biolabeling concept using ferromagnetic nanowires for cell separation. An algorithm successfully characterized and identified individual nanowire types, like cobalt, iron, and nickel, even from a mixed sample. The method was verified by correlating measured transmission data with a mathematical model. This work confirms the potential to interpret multiple magnetic nanowire types inside cells, advancing magnetic labeling techniques. #IEEEJERM #Biolabeling #Nanowires #MagneticSeparation #Ferromagnetic #MedicalApplications
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New Post: Optimized Nickelate‑Based Thermoelectric Thin Films on Sapphire Substrates for Fault‑Tolerant Quantum Sensor Platforms in Spaceborne Missions - — ## Abstract Mission‑critical spaceborne platforms require quantum sensor arrays that maintain coherence despite extreme thermal, radiation, and mechanical stresses. Nickelate‑based thermoelectric thin films can provide on‑chip temperature regulation and low‑power control of qubit ensembles. This exploratory study presents a multi‑modal, data‑driven synthesis pipeline for epitaxial La₀.₇Sr₀.₃NiO₃ \(LSNO\) films on c‑cut sapphire, integrating real‑time spectroscopic \[…\] \[Source & Legal Disclaimer\] This is an AI-generated simulation research dataset provided by Freederia.com, released under the Apache 2.0 License. Users may freely modify and commercially use this data \(including patenting novel improvements\); however, obtaining exclusive patent rights on the original raw data itself is prohibited. As this is AI-simulated data, users are strictly responsible for independently verifying existing copyrights and patents before use. The provider assumes no legal liability. For future Enterprise API access and bulk dataset purchase inquiries, please contact Freederia.com.
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🔬 Carbon Quantum Dots (CQDs) ✨ Explore how Carbon Quantum Dots transform light, letting you harness size‑dependent quantum effects for next‑gen imaging and sensing. At the nanoscale, confinement and surface chemistry rewrite optical behavior, producing properties that classical bulk materials cannot replicate, enabling unprecedented control over emission. ✓ ⚛️ 1. Quantum confinement in sub‑5 nm carbon dots creates size‑tunable bandgap, enabling fluorescence from UV to near‑IR. ✓ 🔬 2. High surface‑to‑volume ratio yields abundant edge functional groups for bioconjugation and catalyst anchoring. ✓ 🤖 3. Photostable sp2 carbon core resists photobleaching, supporting long‑term imaging and optoelectronic applications. 🟢 What innovative applications could you envision using these tunable, photostable carbon dots? #CarbonQuantumDots #Nanophotonics #QuantumConfinement #BioImaging #MaterialsScience
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🔬 Carbon Quantum Dots (CQDs) ✨ Explore how Carbon Quantum Dots transform light, letting you harness size‑dependent quantum effects for next‑gen imaging and sensing. At the nanoscale, confinement and surface chemistry rewrite optical behavior, producing properties that classical bulk materials cannot replicate, enabling unprecedented control over emission. ✓ ⚛️ 1. Quantum confinement in sub‑5 nm carbon dots creates size‑tunable bandgap, enabling fluorescence from UV to near‑IR. ✓ 🔬 2. High surface‑to‑volume ratio yields abundant edge functional groups for bioconjugation and catalyst anchoring. ✓ 🤖 3. Photostable sp2 carbon core resists photobleaching, supporting long‑term imaging and optoelectronic applications. 🟢 What innovative applications could you envision using these tunable, photostable carbon dots? #CarbonQuantumDots #Nanophotonics #QuantumConfinement #BioImaging #MaterialsScience
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🔬 Carbon Quantum Dots (CQDs) ✨ Explore how Carbon Quantum Dots transform light, letting you harness size‑dependent quantum effects for next‑gen imaging and sensing. At the nanoscale, confinement and surface chemistry rewrite optical behavior, producing properties that classical bulk materials cannot replicate, enabling unprecedented control over emission. ✓ ⚛️ 1. Quantum confinement in sub‑5 nm carbon dots creates size‑tunable bandgap, enabling fluorescence from UV to near‑IR. ✓ 🔬 2. High surface‑to‑volume ratio yields abundant edge functional groups for bioconjugation and catalyst anchoring. ✓ 🤖 3. Photostable sp2 carbon core resists photobleaching, supporting long‑term imaging and optoelectronic applications. 🟢 What innovative applications could you envision using these tunable, photostable carbon dots? #CarbonQuantumDots #Nanophotonics #QuantumConfinement #BioImaging #MaterialsScience
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🔬 Carbon Quantum Dots (CQDs) ✨ Explore how Carbon Quantum Dots transform light, letting you harness size‑dependent quantum effects for next‑gen imaging and sensing. At the nanoscale, confinement and surface chemistry rewrite optical behavior, producing properties that classical bulk materials cannot replicate, enabling unprecedented control over emission. ✓ ⚛️ 1. Quantum confinement in sub‑5 nm carbon dots creates size‑tunable bandgap, enabling fluorescence from UV to near‑IR. ✓ 🔬 2. High surface‑to‑volume ratio yields abundant edge functional groups for bioconjugation and catalyst anchoring. ✓ 🤖 3. Photostable sp2 carbon core resists photobleaching, supporting long‑term imaging and optoelectronic applications. 🟢 What innovative applications could you envision using these tunable, photostable carbon dots? #CarbonQuantumDots #Nanophotonics #QuantumConfinement #BioImaging #MaterialsScience
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🔬 Carbon Quantum Dots (CQDs) ✨ Explore how Carbon Quantum Dots transform light, letting you harness size‑dependent quantum effects for next‑gen imaging and sensing. At the nanoscale, confinement and surface chemistry rewrite optical behavior, producing properties that classical bulk materials cannot replicate, enabling unprecedented control over emission. ✓ ⚛️ 1. Quantum confinement in sub‑5 nm carbon dots creates size‑tunable bandgap, enabling fluorescence from UV to near‑IR. ✓ 🔬 2. High surface‑to‑volume ratio yields abundant edge functional groups for bioconjugation and catalyst anchoring. ✓ 🤖 3. Photostable sp2 carbon core resists photobleaching, supporting long‑term imaging and optoelectronic applications. 🟢 What innovative applications could you envision using these tunable, photostable carbon dots? #CarbonQuantumDots #Nanophotonics #QuantumConfinement #BioImaging #MaterialsScience
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New Post: Signal‑Selective Stochastic Resonance in MEMS Resonator Arrays for Ultra‑Low‑Power Biomedical Sensing - ## Abstract Frequency‑selective stochastic resonance \(FSSR\) exploits an optimal sub‑threshold noise level to amplify weak periodic bio‑signals. This synthetic exploratory study proposes a compact array of micro‑electro‑mechanical systems \(MEMS\) resonators operating near a critical regime and coupled via tunable electrostatic forces. A register‑domain \(RD\) architecture discretizes each resonator’s phase and amplitude into fixed‑point hardware registers, \[…\] \[Source & Legal Disclaimer\] This is an AI-generated simulation research dataset provided by Freederia.com, released under the Apache 2.0 License. Users may freely modify and commercially use this data \(including patenting novel improvements\); however, obtaining exclusive patent rights on the original raw data itself is prohibited. As this is AI-simulated data, users are strictly responsible for independently verifying existing copyrights and patents before use. The provider assumes no legal liability. For future Enterprise API access and bulk dataset purchase inquiries, please contact Freederia.com.
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