X-Ray Diffraction

Comparative study on antibacterial activities and removal of iron ions from water using novel modified sand with silver through the hydrothermal technique.

Scientific reports 40341512

The hydrothermal-calcination technique was used to modify raw sand with silver (Ag) at different weight percentages: 2%, 5%, and 10% using silver nitrate. The raw and sand-coated Ag nanoparticle samples were analyzed using various techniques, includi...

Anti-Bacterial Agents Escherichia coli Ions Iron Metal Nanoparticles Microbial Sensitivity Tests Sand Silicon Dioxide Silver Spectroscopy, Fourier Transform Infrared Staphylococcus aureus Water Water Purification X-Ray Diffraction

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Hybrid Deep Learning Crystallographic Mapping of Polymorphic Phases in Polycrystalline Hf Zr O Thin Films.

Small (Weinheim an der Bergstrasse, Germany) 35373528

By controlling the configuration of polymorphic phases in high-k Hf Zr O thin films, new functionalities such as persistent ferroelectricity at an extremely small scale can be exploited. To bolster the technological progress and fundamental understan...

Deep Learning Humans X-Ray Diffraction

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Single-Image Super-Resolution Improvement of X-ray Single-Particle Diffraction Images Using a Convolutional Neural Network.

Journal of chemical information and modeling 35820663

Femtosecond X-ray pulse lasers are promising probes for the elucidation of the multiconformational states of biomolecules because they enable snapshots of single biomolecules to be observed as coherent diffraction images. Multi-image processing using...

Image Processing, Computer-Assisted Lasers Neural Networks, Computer X-Ray Diffraction

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Multi-state modeling of antibody-antigen complexes with SAXS profiles and deep-learning models.

Methods in enzymology 36641210

Antibodies are an established class of human therapeutics. Epitope characterization is an important part of therapeutic antibody discovery. However, structural characterization of antibody-antigen complexes remains challenging. On the one hand, X-ray...

Antigen-Antibody Complex Cryoelectron Microscopy Deep Learning Epitopes Humans Models, Molecular Proprotein Convertase 9 Protein Conformation Proteins Scattering, Small Angle X-Ray Diffraction

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BioSAXS at European Synchrotron Radiation Facility - Extremely Brilliant Source: BM29 with an upgraded source, detector, robot, sample environment, data collection and analysis software.

Journal of synchrotron radiation 36601945

As part of its Extremely Brilliant Source (EBS) upgrade project, the ESRF's BM29 BioSAXS beamline was subject to a significant upgrade and refurbishment. In addition to the replacement of the beamline's original bending magnet source by a two-pole wi...

Data Collection Humans Robotics Scattering, Small Angle Software Synchrotrons X-Ray Diffraction

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Integrating machine learning with -SAS for enhanced structural analysis in small-angle scattering: applications in biological and artificial macromolecular complexes.

The European physical journal. E, Soft matter 38831117

Small-Angle Scattering (SAS), encompassing both X-ray (SAXS) and Neutron (SANS) techniques, is a crucial tool for structural analysis at the nanoscale, particularly in the realm of biological macromolecules. This paper explores the intricacies of SAS...

Machine Learning Macromolecular Substances Monte Carlo Method Neutron Diffraction Scattering, Small Angle X-Ray Diffraction

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Chemical characterization of hibiscus rosa-sinensis plant fibers facilitated through design of experiments and artificial neural network hybrid approach.

Scientific reports 39341927

The integration of natural fibers into Fiber Reinforced Polymers (FRPs) has emerged as a promising avenue for sustainable and high-performance composite materials. Natural fibers, derived from plants, offer notable advantages such as renewability, lo...

Hibiscus Neural Networks, Computer Potassium Permanganate Sodium Hydroxide Thermogravimetry X-Ray Diffraction

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Predicting RNA structure and dynamics with deep learning and solution scattering.

Biophysical journal 39722452

Advanced deep learning and statistical methods can predict structural models for RNA molecules. However, RNAs are flexible, and it remains difficult to describe their macromolecular conformations in solutions where varying conditions can induce confo...

Deep Learning Magnesium Models, Molecular Nucleic Acid Conformation RNA Scattering, Small Angle Solutions X-Ray Diffraction

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Advanced machine learning-driven characterization of new natural cellulosic Lablab purpureus fibers through PCA and K-means clustering techniques.

International journal of biological macromolecules 40037447

The increasing demand for sustainable and eco-friendly materials has spurred significant interest in natural fibers as alternatives to synthetic reinforcements in composite applications. This study aims to explore the potential of Lablab purpureus fi...

Cellulose Cluster Analysis Lignin Machine Learning Polysaccharides Principal Component Analysis Spectroscopy, Fourier Transform Infrared Tensile Strength X-Ray Diffraction

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Combining High-Throughput Screening and Machine Learning to Predict the Formation of Both Binary and Ternary Amorphous Solid Dispersion Formulations for Early Drug Discovery and Development.

Pharmaceutical research 40180767

OBJECTIVE: Amorphous solid dispersion (ASD) is widely utilized to enhance the solubility and bioavailability of water-insoluble drugs. However, conventional experimental approaches for ASD development are often resource-intensive and time-consuming. ...

Algorithms Chemistry, Pharmaceutical Crystallization Drug Compounding Drug Development Drug Discovery High-Throughput Screening Assays Machine Learning Powder Diffraction Solubility Support Vector Machine X-Ray Diffraction

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AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Comparative study on antibacterial activities and removal of iron ions from water using novel modified sand with silver through the hydrothermal technique.

Hybrid Deep Learning Crystallographic Mapping of Polymorphic Phases in Polycrystalline Hf Zr O Thin Films.

Single-Image Super-Resolution Improvement of X-ray Single-Particle Diffraction Images Using a Convolutional Neural Network.

Multi-state modeling of antibody-antigen complexes with SAXS profiles and deep-learning models.

BioSAXS at European Synchrotron Radiation Facility - Extremely Brilliant Source: BM29 with an upgraded source, detector, robot, sample environment, data collection and analysis software.

Integrating machine learning with -SAS for enhanced structural analysis in small-angle scattering: applications in biological and artificial macromolecular complexes.

Chemical characterization of hibiscus rosa-sinensis plant fibers facilitated through design of experiments and artificial neural network hybrid approach.

Predicting RNA structure and dynamics with deep learning and solution scattering.

Advanced machine learning-driven characterization of new natural cellulosic Lablab purpureus fibers through PCA and K-means clustering techniques.

Combining High-Throughput Screening and Machine Learning to Predict the Formation of Both Binary and Ternary Amorphous Solid Dispersion Formulations for Early Drug Discovery and Development.

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