Advanced Functional Materials, EarlyView.Non‐covalent protein–protein interactions mediated by SH3, PDZ, or GBD domains enable the self‐assembly of stable and biocatalytically active hydrogel materials. These soft materials can be processed into monodisperse foams that, once dried, exhibit enhanced mechanical stability and activity and are easily integrated into microstructured flow ...
Julian S. Hertel +5 more
wiley +1 more source
Establishment of "Structure-Efficiency" Relationship in Ultra-High Purity Metal Systems: Multi-Scale Analysis of Tellurium as a Prototype. [PDF]
Adv Sci (Weinh)Guo S +7 more
europepmc +1 more source
Highly Selective Toward HER or CO2RR by Regulating Cu Single and Dual Atoms on g‐C3N4
Advanced Functional Materials, EarlyView.This systematic study provides insights into the design of electrocatalysts for hydrogen evolution reaction (HER) and carbon dioxide reduction (CO2RR). It serves as a useful guide for tuning catalyst architecture toward efficient multifunctional performance by varying synthetic parameters, demonstrating the impact of copper (Cu) species ranging from ...
Wan‐Ting Chen +9 more
wiley +1 more source
Phase‐Stable Palladium Hydride Derived from PdCoO2 for Sustainable Hydrogen Evolution Reaction
Advanced Functional Materials, EarlyView.The exceptionally active β‐PdHx is demonstrated for the hydrogen evolution reaction in acidic media. The fast activation kinetics from the PdCoO2 template are resolved by operando spectroscopy, and isotope‐labeled atom probe tomography quantifies the H content in β‐PdHx. The outstanding stability of the electrocatalyst is attributed to the retention of
Luca Camuti +10 more
wiley +1 more source
Emergent quantum state unveiled by ultrafast collective dynamics in 1<i>T</i>-TaS<sub>2</sub>. [PDF]
Proc Natl Acad Sci U S AHasaien J +8 more
europepmc +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced 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
Dataset-Learning Duality and Emergent Criticality. [PDF]
Entropy (Basel)Kukleva E, Vanchurin V.
europepmc +1 more source
Advanced Functional Materials, EarlyView.This review summarizes recent advances in closed‐cell in situ TEM strategies for accurate determination of the activity and stability of single‐atom catalyst systems during operation. Operando conditions causing dynamic changes of SAC systems are highlighted and we explain why ensemble average‐based optical techniques may benefit from the technological
Martin Ek +4 more
wiley +1 more source
Coupling Artificial Intelligence with Proper Mathematical Algorithms to Gain Deeper Insights into the Biology of Birds' Eggs. [PDF]
Animals (Basel)Narushin VG +5 more
europepmc +1 more source
RoboCT: The State and Current Challenges of Industrial Twin Robotic CT Systems. [PDF]
Sensors (Basel)Herl G +7 more
europepmc +1 more source