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Machine Learning Exploration Of Binding Energy Distributions Of H2O At Astrochemically Relevant Dust Grain Surfaces
5+ hour, 41+ min ago (304+ words) Machine Learning Exploration Of Binding Energy Distributions Of H2O At Astrochemically Relevant Dust Grain Surfaces'astrobiology.com Machine Learning Exploration Of Binding Energy Distributions Of H2O At Astrochemically Relevant Dust Grain Surfaces Binding energies (BEs) of adsorbates on interstellar dust grains critically control…...
Demystifying the Black Box: Making Machine Learning Models Explainable in Spectroscopy | Spectroscopy Online
8+ hour, 5+ min ago (331+ words) The interpretability of ML models in spectroscopy is considered an "unsolved problem" for several key reasons: In summary, the unsolved aspect is not merely technical'it's scientific and practical. It lies in reliably connecting advanced ML model outputs to meaningful chemical…...
Data Fusion in Action: Integrating Different Vibrational and Atomic Spectroscopy Data | Spectroscopy Online
8+ hour, 5+ min ago (619+ words) This tutorial explores the motivation, mathematical underpinnings, and practical approaches to fusing spectral data, with emphasis on early, intermediate, and late fusion strategies. Inductively coupled plasma atomic/optical emission spectroscopy (ICP'AES or ICP'OES) and microwave plasma atomic emission spectroscopy (MP'AES)…...
Beyond Linearity: Identifying and Managing Nonlinear Effects in Spectroscopic Data | Spectroscopy Online
8+ hour, 5+ min ago (267+ words) However, linearity is often violated in practice. Deviations occur due to: 2. Theory of Linearity and Nonlinearity in Spectroscopic Calibration 2.1 The Linear Multivariate Regression Model The baseline assumption in chemometric calibration is that analyte responses can be expressed as a linear…...
Best of the Week: Top 10 Applications of NIR Spectroscopy in Biopharmaceutical Analysis, Trends in Spectroscopy | Spectroscopy Online
8+ hour, 5+ min ago (439+ words) Top articles published this week include a look at the top 10 applications of near-infrared (NIR) spectroscopy in biopharmaceutical analysis, an interview about the current trends in spectroscopy, and an inside look at handheld X-ray fluorescence (XRF) instrumentation. This week, Spectroscopy…...
Advanced Computational Methods in Spectroscopy: A Q&A Guide | Spectroscopy Online
8+ hour, 5+ min ago (94+ words) Q: Why are researchers moving beyond traditional linear models like partial least squares (PLS)? Q: What are some specific nonlinear methods currently used in spectroscopic calibration? A: There are several advanced mathematical frameworks employed to address these challenges. We highlight some of the…...
Another Climate Pipe Dream: Capturing Carbon Out of Thin Air
9+ hour, 55+ min ago (226+ words) A U.S. Department of Energy (DOE) report issued at the end of the Biden Administration estimated that the U.S. would need to remove between 100 million metric tons and 2 billion metric tons of carbon dioxide using Direct Air Capture technology to address climate…...
Scientists have found a new way to combat type 2 diabetes
10+ hour, 3+ min ago (292+ words) Researchers at the University of Pittsburgh School of Medicine have discovered an unexpected mechanism that may help combat insulin resistance and type 2 diabetes. It turns out that a special population of "beneficial" immune cells in adipose tissue plays a key…...
New alloy design strategy at the atomic scale greatly enhances metal fatigue resistance
11+ hour, 8+ min ago (57+ words) New alloy design strategy at the atomic scale greatly enhances metal fatigue resistance'Nanowerk New alloy design strategy at the atomic scale greatly enhances metal fatigue resistance Engineers have identified a fundamental deformation mechanism that can be leveraged to greatly enhance…...
Research cooks up stronger, more resilient engineering materials
18+ hour, 25+ min ago (477+ words) Data'driven intelligence is accelerating discovery in advanced materials " and it helps to have the right ingredients. Illustration using AI by Jama Green for Virginia Tech. But what if you change a variable or two, like baking the pie for two…...