Shape memory photonic materials: fabrication and emerging applications
X Chen, Z Hu, Q Lyu, M Li, L Zhang… - Journal of Materials …, 2023 - pubs.rsc.org
Shape memory photonic materials (SMPMs) are intelligent stimuli-responsive materials
combining two different disciplines: shape memory polymers and photonic crystals. SMPMs …
combining two different disciplines: shape memory polymers and photonic crystals. SMPMs …
Machine learning techniques for improving nanosensors in agroenvironmental applications
CL Arellano Vidal, JE Govan - Agronomy, 2024 - mdpi.com
Nanotechnology, nanosensors in particular, has increasingly drawn researchers' attention in
recent years since it has been shown to be a powerful tool for several fields like mining …
recent years since it has been shown to be a powerful tool for several fields like mining …
Communicating Supraparticles to Enable Perceptual, Information‐Providing Matter
J Reichstein, S Müssig, S Wintzheimer… - Advanced …, 2023 - Wiley Online Library
Materials are the fundament of the physical world, whereas information and its exchange are
the centerpieces of the digital world. Their fruitful synergy offers countless opportunities for …
the centerpieces of the digital world. Their fruitful synergy offers countless opportunities for …
Boosting flexible electronics with integration of two‐dimensional materials
Flexible electronics has emerged as a continuously growing field of study. Two‐dimensional
(2D) materials often act as conductors and electrodes in electronic devices, holding …
(2D) materials often act as conductors and electrodes in electronic devices, holding …
Predicting the efficiency of luminescent solar concentrators for solar energy harvesting using machine learning
Building-integrated photovoltaics (BIPV) is an emerging technology in the solar energy field.
It involves using luminescent solar concentrators to convert traditional windows into energy …
It involves using luminescent solar concentrators to convert traditional windows into energy …
A bio-inspired colorimetric sensor based on ethylene glycol–non-close-packed photonic crystals for visual monitoring of ammonia
W Zheng, N Zhang, G Murtaza, L Wu… - Journal of Materials …, 2024 - pubs.rsc.org
Portable sensors with high selectivity and sensitivity are essential for ammonia detection. In
this work, a colorimetric sensor based on non-close-packed photonic crystals (NPCs) was …
this work, a colorimetric sensor based on non-close-packed photonic crystals (NPCs) was …
Modulating the Microenvironment of Coumarin Dyes within Multihierarchical Supraparticles: En Route toward Versatile Luminescent Dual‐Threshold Temperature …
J Reichstein, L Luthardt, VG Martello… - Advanced Optical …, 2024 - Wiley Online Library
Temperature indicators trace (un) desired thermal impacts across their thermal history upon
readout at every point of interest via defined irreversible signal changes. Ratiometric …
readout at every point of interest via defined irreversible signal changes. Ratiometric …
Hydrogen Bond‐Mediated Self‐Shielded Moisture‐Responsive Structural Color for Time‐Temperature Indicating
D Kou, L Gao, R Lin, S Zhang, W Ma - Advanced Science, 2024 - Wiley Online Library
Effective monitoring of the time‐temperature history of biological reagents, chemical drugs,
and perishable foods during cold chain storage is crucial for ensuring their quality and …
and perishable foods during cold chain storage is crucial for ensuring their quality and …
A versatile method for facile and reliable synthesis of colloidal particles with a size and composition gradient
Colloidal particles play a pivotal role in numerous applications across various disciplines,
many of which necessitate precise control over particle size and size distribution. Seeded …
many of which necessitate precise control over particle size and size distribution. Seeded …