Cdse, CdS, and CdTe Nanoplatelet Extinction Coefficients Enable Concentration Determination Without Elemental Analysis Researchers have developed a theoretical model that accurately predicts the absorption of semiconductor nanoplatelets, allowing for rapid and accurate determination of both their concentration and size using standard absorption measurements, a significant advancement over previous, time-consuming characterization methods. #quantum #quantumcomputing #technology https://lnkd.in/eQGUYacM
New model for determining Cdse, CdS, and CdTe nanoplatelet concentration
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Cdse, CdS, and CdTe Nanoplatelet Extinction Coefficients Enable Concentration Determination Without Elemental Analysis Researchers have developed a theoretical model that accurately predicts the absorption of semiconductor nanoplatelets, allowing for rapid and accurate determination of both their concentration and size using standard absorption measurements, a significant advancement over previous, time-consuming characterization methods. #quantum #quantumcomputing #technology https://lnkd.in/eQGUYacM
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Effective Potential Analysis of Molecular Device using NanoDCAL Software ⚡ Delighted to share our recent simulation study on the Effective Potential distribution in a molecular device using NanoDCAL, a powerful first-principles DFT + NEGF-based quantum transport simulation tool. 🔹 Objective: To understand how electrostatic potential varies across the molecular junction under bias, influencing the charge transport and current–voltage (I–V) characteristics of nanoscale devices. 🔹 Key Insights: The effective potential profile shows the impact of applied bias on the molecule–electrode coupling. Visualization of potential drop regions provides deeper insight into charge redistribution within the device. Helps in identifying bottlenecks for electron transport and optimizing molecular design for better conductivity. 🔹 Software Used: NanoDCAL – enabling self-consistent quantum transport calculations for molecular and 2D material systems. This kind of analysis is crucial for understanding electron flow at the atomic scale and designing efficient molecular electronic devices for next-generation nanoelectronics. #NanoDCAL #QuantumTransport #DFT #MolecularElectronics #EffectivePotential #Nanotechnology #Simulation #Research #ElectronTransport #DevicePhysics
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XP Power announces the availability of a digital version of its HRF15 series of 15W precision high voltage DC-DC converters with both output voltage and current programming through the PMBus™ via I2C. This enhancement addresses the growing need for automation and remote control in high precision equipment, including mass spectrometry, scanning electron microscopy (SEM), and transmission electron microscopy (TEM), for semiconductor inspection applications and general purpose analytical research. Read more here: https://lnkd.in/eq97w6f8
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🌟 Exciting Update 🌟 🎉 Feeling happy to share our Latest Research Paper in “Optoelectronic properties of halogen-substituted LaBi₂Cl₁₋ᵧXᵧO₄: A promising candidate for energy-efficient devices”!🎉🎉 We analyzed their structural, electronic, and optical properties, showing that all compounds are stable and that halogen substitution (Br, I) effectively tunes the band gap and optical responses. In particular, iodine doping induces the strongest effects through lattice distortions and orbital hybridization. Our findings reveal anisotropic and tunable optical behavior, with red-shifted absorption edges, enhanced dielectric constants, refractive indices, and optical conductivity providing valuable insights for future optoelectronic applications. I am truly grateful to all my Professor and co-authors, for their valuable support throughout this journey. 🙏 🔗 Read more here: https://lnkd.in/gn6wpbKu #Optoelectronics #MaterialsScience #ResearchPaper #BandGapEngineering #HalidePerovskites #ScientificPublication #SolidStatePhysics #Research #Optics #Physics
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🚀 New Blog Alert! The semiconductor world is witnessing a quiet revolution — Germanium-Tin (GeSn) is emerging as a next-generation material for infrared (IR) imaging applications. 🌌 My latest blog, “Evolution of Germanium-Tin as the Next-Generation Infrared Imaging Material”, explores how GeSn is reshaping the IR landscape — from bandgap tunability and CMOS compatibility to SWIR–MWIR device integration and quantum-level engineering. 📚 The blog presents an in-depth bibliographic review covering material growth breakthroughs, optical performance improvements, and device architecture evolution — mapping the journey from lab innovation to real-world imaging systems. 🔗 https://lnkd.in/gtVhjNFw #SRUniversity #ECESRUniversity #SRUniveristyInternational #GermaniumTin #InfraredImaging #Photonics #NextGenMaterials #Optoelectronics #QuantumDevices SR University ECE SR University SR University International School of Sciences and Humanities SR University
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Novel Polarimetry-Based Material Characterization for Advanced Semiconductor Fabrication Here's the generated research paper based on your prompt and requirements. It focuses on a specific area within "polarimetry" and aims for commercial readiness. It's structured to meet your guidelines, with an emphasis on mathematical rigor and potential real-world applications. Please note the response exceeds 10,000 characters. Abstract: This research introduces a novel electromagnetic polarimetry-based material characterization technique for optimizing thin-film deposition processes used in advanced semiconductor fabrication. Leveraging high-precision Mueller matrix polarimetry, coupled with a generative adversarial network (GAN) for data augmentation and error correction, the proposed method provides real-time, non-destructive assessment of material uniformity, stress, and composition across large-area substrates. This enables in-situ process control, reducing yield loss and improving semiconductor device performance, representing a commercially viable alternative to traditional, https://lnkd.in/g2PzSU2B
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SEMI announced that global sales of total semiconductor manufacturing equipment by original equipment manufacturers (OEMs) are forecast to set a new industry record of $125.5 billion in 2025. Part of this growth is driven by advanced wafer metrology; a field where ultra‑precise motion control is critical. Frequently mentioned requirements are sub‑nanometer resolution, high linearity, and outstanding scanning flatness – enabling reproducible results in: - Semiconductor Metrology: wafer inspection, mask alignment, defect detection - Photonics & Optics: fiber alignment, interferometry, precision optics adjustment - Microscopy & Life Sciences: super‑resolution imaging, Z‑stacking, bio‑nanotechnology PI’s XYZ piezo nanopositioning stages are characterized by a linearity of 99,97 %, a repeatability of 2 nm, a travel range of up to 300 µm, and a step‑and‑settle time of less than 10 ms. Learn more: https://lnkd.in/eAbgqc99 #Nanopositioning #PrecisionMotion #Semiconductor #Photonics #LifeSciences #SEMI #AdvancedManufacturing #WaferMetrology #EUVLithography #SubNanometer #OEM
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Ultrafast Charge-Doping Via Photo-Thermionic Injection Enables Novel Functionality in Van Der Waals Devices Researchers have discovered a method to inject and control electrical charge into layered materials using light, potentially enabling new functionalities in nanoscale devices through ultrafast photodoping from adjacent graphite layers. #quantum #quantumcomputing #technology https://lnkd.in/eHb4hx8y
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Automated Quantum Dot Spectral Analysis for High-Throughput Materials Characterization This paper introduces a novel, fully automated system for characterizing quantum dots (QDs) using spectral analysis, significantly accelerating materials development in quantum electronics. By integrating hyperspectral imaging, advanced machine learning, and cloud-based processing, our system achieves a 10x increase in throughput compared to traditional methods while maintaining high accuracy and reproducibility. This advancement will revolutionize materials discovery for quantum computing, photovoltaics, and bio-imaging, enabling faster iteration cycles and reduced development costs. 1. Introduction Quantum dots (QDs) are semiconductor nanocrystals exhibiting quantum mechanical properties, offering tunable light emission and absorption spectra. Precise characterization of QD spectral properties – size, shape, composition, and surface defects – is paramount for optimizing device performance. Traditional methods, such as transmission electron microscopy (TEM) and photoluminescence (PL) https://lnkd.in/g_8BXNQN
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Spin-selective Second-Order Topological Insulators Enable Corner-Polarized States in 2D Altermagnets Researchers have discovered that carefully straining certain two-dimensional materials, specifically chromium oxide and chromium selenium oxide, creates unique electronic states that could lead to new devices combining advanced spintronics with ‘cornertronics’, a field focused on manipulating electrons at material corners. #quantum #quantumcomputing #technology https://lnkd.in/dQwbEPRT
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