Results 71 to 80 of about 278 (215)

Advances in Parahydrogen‐Induced Polarization for Nuclear Magnetic Resonance of Peptides, Proteins, and Biopolymers

open access: yesChemistryEurope, EarlyView.
Hyperpolarization by parahydrogen‐induced polarization enhances the sensitivity of nuclear magnetic resonance spectroscopy of amino acids, peptides, mini‐proteins, and biopolymers using nonnatural amino acids with unsaturated side chains up to three orders of magnitude.
Gerd Buntkowsky
wiley   +1 more source

Ensemble Deep Learning–Based Wind Power Forecasting With Self‐Adaptive Osprey Optimization Algorithm

open access: yesEnergy Science &Engineering, EarlyView.
Design of Self‐Adaptive Osprey (SAO) algorithm: The novel SAO algorithm is designed by integrating the exploration capability of the conventional Osprey algorithm by including the self‐adaptiveness for enhancing the convergence rate. Ensemble Deep Learning for wind power forecasting: The wind forecasting is employed using the proposed Ensemble learning
Johncy Bai Johnson   +3 more
wiley   +1 more source

Recent advances in multifunctional soft robots: A materials–structures–systems co‐design perspective for synergistic integration

open access: yesFlexMat, EarlyView.
Abstract Soft robots, engineered from highly compliant materials, offer superior adaptability and safety in unstructured environments compared to their rigid counterparts. Recent advancements, fueled by bio‐inspiration and material programmability, have led to the rapid co‐evolution of their core modules: actuation, sensing, protection, energy, and ...
Qiulei Liu   +3 more
wiley   +1 more source

Recent advances in data‐driven and artificial intelligence‐integrated perovskite solar cells: From design to self‐driving laboratories

open access: yesInfoMat, EarlyView.
To address the limitations of conventional trial‐and‐error approaches, perovskite solar cell research is shifting toward a new paradigm that utilizes datasets and AI. This review examines the fundamental elements of data‐driven and AI‐integrated research: data platforms, AI methodologies, and self‐driving laboratories, demonstrating how their ...
Jaehee Lee   +5 more
wiley   +1 more source

Deep Learning Integration in Optical Microscopy: Advancements and Applications

open access: yesMicroscopy Research and Technique, EarlyView.
It explores the integration of DL into optical microscopy, focusing on key applications including image classification, segmentation, and computational reconstruction. ABSTRACT Optical microscopy is a cornerstone imaging technique in biomedical research, enabling visualization of subcellular structures beyond the resolution limit of the human eye ...
Pottumarthy Venkata Lahari   +5 more
wiley   +1 more source

Structure‐Aware Machine Learning for Polymers: A Hierarchical Graph Network for Predicting Properties From Statistical Ensembles

open access: yesMacromolecular Rapid Communications, EarlyView.
This work presents a structure‐aware graph convolutional network that models polymers as statistical ensembles to predict macroscopic properties. By combining topologically realistic graphs generated via kinetic Monte Carlo simulations with explicit molar mass distributions, the framework achieves high accuracy in classifying architectures and ...
Julian Kimmig   +7 more
wiley   +1 more source

Mass Spectrometry Structural Proteomics Enabled by Limited Proteolysis and Cross‐Linking

open access: yesMass Spectrometry Reviews, EarlyView.
ABSTRACT The exploration of protein structure and function stands at the forefront of life science and represents an ever‐expanding focus in the development of proteomics. As mass spectrometry (MS) offers readout of protein conformational changes at both the protein and peptide levels, MS‐based structural proteomics is making significant strides in the
Haiyan Lu   +4 more
wiley   +1 more source

A Perspective of Multi‐Reflecting TOF MS

open access: yesMass Spectrometry Reviews, EarlyView.
ABSTRACT Time‐of‐flight mass spectrometry (TOF MS) excels in rapid and high‐sensitivity analysis, making it a cornerstone of analytical chemistry. But as sample complexity explodes in omics studies, so does the need for higher resolving power to ensure accurate results.
A. N. Verenchikov   +3 more
wiley   +1 more source

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