AIMC Topic: Ions

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Chiral Photonic Ionic Skin for Ultrafast, Hysteresis-Free Mechanosensing.

ACS nano
Biological skins integrate optical and electrical signaling for dynamic environmental interactions, inspiring the development of artificial photonic ionic skins. However, existing synthetic systems often lack mechanical robustness, fast response, and...

Predicting the Ionization Behavior of Drugs in Tissue in MALDI and MALDI-2 Mass Spectrometry Imaging Using Machine Learning.

Analytical chemistry
Matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) and its most common application, MALD-MS imaging (MSI), are widely used techniques in the analysis of intact biomolecules. In the context of pharmaceutical research, MALDI-MSI i...

Nanoparticle-Mediated Regulation of Intracellular Ferric Ions to Induce Motor Neuron Differentiation for Spinal Cord Injury Repair.

ACS nano
Stem cell therapy is a prospective approach to the treatment of spinal cord injury (SCI), which features grievous harm of motor and sensory functions. However, the proportion of motor neurons spontaneously differentiated from neural stem cells (NSCs)...

MIC: A deep learning tool for assigning ions and waters in cryo-EM and crystal structures.

Nature communications
At sufficiently high resolution, x-ray crystallography and cryogenic electron microscopy are capable of resolving small spherical map features corresponding to either water or ions. Correct classification of these sites provides crucial insight for u...

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

Scientific reports
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...

Ionic Device: From Neuromorphic Computing to Interfacing with the Brain.

Chemistry, an Asian journal
In living organisms, the modulation of ion conductivity in ion channels of neuron cells enables intelligent behaviors, such as generating, transmitting, and storing neural signals. Drawing inspiration from these natural processes, researchers have fa...

KaMLs for Predicting Protein p Values and Ionization States: Are Trees All You Need?

Journal of chemical theory and computation
Despite its importance in understanding biology and computer-aided drug discovery, the accurate prediction of protein ionization states remains a formidable challenge. Physics-based approaches struggle to capture the small, competing contributions in...

Deep Learning Predicts Non-Normal Transmission Distributions in High-Field Asymmetric Waveform Ion Mobility (FAIMS) Directly from Peptide Sequence.

Analytical chemistry
Peptide ion mobility adds an extra dimension of separation to mass spectrometry-based proteomics. The ability to accurately predict peptide ion mobility would be useful to expedite assay development and to discriminate true answers in a database sear...

DisDock: A Deep Learning Method for Metal Ion-Protein Redocking.

Proteins
The structures of metalloproteins are essential for comprehending their functions and interactions. The breakthrough of AlphaFold has made it possible to predict protein structures with experimental accuracy. However, the type of metal ion that a met...

LSTM-based estimation of lithium-ion battery SOH using data characteristics and spatio-temporal attention.

PloS one
As the primary power source for electric vehicles, the accurate estimation of the State of Health (SOH) of lithium-ion batteries is crucial for ensuring the reliable operation of the power system. Long Short-Term Memory (LSTM), a special type of recu...