Results 191 to 200 of about 326,825 (346)

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore   +7 more
wiley   +1 more source

Microscale Tin–Bismuth Alloy Prepared via Cooling Rate Control as Anode Material for High‐Performance Lithium‐Ion Batteries

open access: yesAdvanced Functional Materials, EarlyView.
To investigate the mechanisms about the enhanced buffering effect and morphological retention in fully lithiated Sn–Bi alloys, this study introduces a new bulk bimetallic Sn–Bi alloy with fine grains of uniformly distributed Sn and Bi alloys (≈50 nm) via cooling rate control. This design effectively relieves internal energy buildup and suppresses crack
Hyeon Seo Park   +6 more
wiley   +1 more source

Abiotic Degradation Technologies to Promote Bio-Valorization of Bioplastics. [PDF]

open access: yesPolymers (Basel)
Gutiérrez-Silva K   +5 more
europepmc   +1 more source

Electrically Tunable On‐Chip Topological Photonics with Integrated Carbon Nanotubes

open access: yesAdvanced Functional Materials, EarlyView.
This work demonstrates electrically tunable on‐chip topological THz devices by integrating 2D carbon nanotube (CNT) sheets with valley‐Hall photonic crystals, enabling broadband transmission modulation (71% modulation depth) and tunable narrowband filtering (0.54 GHz shift) through electrically induced thermal tuning. This advancement paves the way for
Jifan Yin   +7 more
wiley   +1 more source

Quantifying Spatio‐Operational Heterogeneity in Electrochemical Devices via Operando Correlative Neutron and X‐Ray Tomography

open access: yesAdvanced Functional Materials, EarlyView.
Heterogeniety in electrochemical systems heavily influences device performance and durability. The study shows unique evidence of spatio‐operational heterogeneity in fuel cells via operando neutron and X‐ray tomography. Large variations in membrane thickness and hydration depend upon location and operating conditions, with implications on membrane ...
Pranay Shrestha   +9 more
wiley   +1 more source

Characteristics and influence of biosmoke on the fine-particle ionic composition measured in Asian outflow during the Transport and Chemical Evolution Over the Pacific (TRACE-P) experiment [PDF]

open access: yes, 2003
Bandy, AR   +14 more
core   +1 more source

GeAl2‐2xFe2xO3(OH)4 Nanotubes: New Electrocatalyst for Oxygen Evolution Reaction

open access: yesAdvanced Functional Materials, EarlyView.
Fe‐doped imogolite nanotubes are synthesized via a one‐step hydrothermal method with varying Fe substitution ratios x. Structural and spectroscopic analyses confirm homogeneous Fe incorporation while preserving tubular shape. Optimal doping at x = 0.05 enhances optical absorption, narrows band gap, reduces charge transfer resistance, and significantly ...
Yassine Naciri   +12 more
wiley   +1 more source

Cr3+‐Activated Tunable Near‐Infrared Mechanoluminescence Materials for Potential Water Pollutant Monitoring

open access: yesAdvanced Functional Materials, EarlyView.
Four kinds of magnetite type NIR‐ML materials are synthesized by high‐temperature solid‐state reaction method. The continuous spectral tuning from a sharp R line (698 nm) to a broadband range (650–1000 nm) is realized based on composite engineering, concentration engineering, and lattice engineering strategies.
Xuesong Wang   +10 more
wiley   +1 more source

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