Results 171 to 180 of about 12,540,238 (298)

Advancing SafeWax, A Bio‐Inspired Superhydrophobic Coating, Toward Sustainable and Climate‐Resilient Crop Protection

Advanced Functional Materials, EarlyView.
This study advances SafeWax, a bio‐inspired, fatty‐acids‐based superhydrophobic coating, by identifying an agriculturally compliant solvent and revealing how solvent‐controlled Fatty acid crystallization governs the coating's microscopic structure and performance.
Niv Ben‐Arie, Iryna Polishchuk, Franziska Tauber, Coralie Schneider, Elena Prudnikov, Alessia Calora, Silvia Milita, Simona Fermani, Mireia Alejandra Ibanez Revert, Ilaria Filippetti, Claudio Ratti, Matthias Kellermeier, Markus Rueckel, Boaz Pokroy   +13 more
wiley   +1 more source

Structure Guides Function: Beyond Pairwise Neural Interactions. [PDF]

J Comp Neurol
Maier A.
europepmc   +1 more source

An Integrated Oxygen‐Supplying Device and Predictive Multiphysics Model for Extended Ambient Transport of Insulin‐Producing Cells

Advanced Functional Materials, EarlyView.
Cell therapies typically rely on cold‐chain logistics and cryopreservation, limiting access and compromising cell quality. Here, a dual‐chamber device separates an oxygen‐supplying chamber from a hyaluronic acid cargo chamber, sustaining oxygen delivery for over 70 h and enabling ambient‐temperature shipment.
Daniel A. Domingo‐Lopez, Ruth Tarpey, Benjamin Brennan, Bryan D. Boyle, Amir M. Alsharabasy, Abhik Mallick, Gabriella Bellavia, Abhay Pandit, Garry P. Duffy, Ruth E. Levey   +9 more
wiley   +1 more source

Physics-based molecular fingerprints from spectral graph theory provide efficient geometry-aware measures of chemical similarity. [PDF]

Chem Sci
Toney JW, Farnood AY, Darouich S, Kulik HJ.   +3 more
europepmc   +1 more source

Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery

Advanced Functional Materials, EarlyView.
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang, Qian Wang, Seong‐Hoon Jang, Hao Li   +3 more
wiley   +1 more source

Unraveling Lithium Dynamics in Solid Electrolyte Interphase: From Graph Contrastive Learning to Transport Pathways. [PDF]

J Chem Theory Comput
Guan Q, Cai Y.
europepmc   +1 more source

Halide Composition Controls Phase Morphology and Device Specific Performance in Perovskite Photovoltaics and Light Emitting Diodes

Advanced Functional Materials, EarlyView.
We demonstrate that halide composition determines phase morphology, governing distinct operating mechanisms in mixed halide perovskites. Phase segregating 75% Br compositions enhance solar cell performance, whereas intrinsically phase‐separated 95% Br compositions provide stable light emitting diodes.
Tal Binyamin, Stav Rahmany, Anat Shvets, Hadar Shema, Elad Gross, Ido Hadar, Lioz Etgar   +6 more
wiley   +1 more source

Data-Efficient and Fast Machine Learning Molecular Dynamics through Integrated Active Learning and Knowledge Distillation. [PDF]

J Chem Theory Comput
Lian X, Pasquarello A.
europepmc   +1 more source

Utilizing the Metastability of Spidroins as a Strategy for Improving Mechanical Properties of Biomimetic Spider Silk Fibers

Advanced Functional Materials, EarlyView.
Phase transitions are central for the assembly of recombinant silk proteins into fibers. Soluble protein can transition into condensed states such as condensates and gels. These states are metastable and evolve in a time‐dependent way. Metastability depends on the protein sequence, and this relationship can be used to enhance the mechanical properties ...
Fred‐Eric Sammalisto, Topias Lankinen, Celine Tallroth, Rafael A. Lara, Matilda Backholm, Markus B. Linder   +5 more
wiley   +1 more source

Mixed updating in structured populations. [PDF]

PLoS Comput Biol
Brewster DA, Huang Y, Mitzenmacher M, Nowak MA.   +3 more
europepmc   +1 more source