Results 51 to 60 of about 911,203 (241)

Bioinspired Co‐Assembly Enables Multiscale Architected Hydrogels for 3D Printing With Integrated Antibacterial and Bioactive Functions

Advanced Functional Materials, EarlyView.
A multicomponent supramolecular hydrogel integrating cell‐adhesive and antibacterial peptides within an alginate‐cellulose nanofibril matrix is developed. Peptide co‐assembly simultaneously strengthens the hydrogel network, improves extrusion printability, and imparts cell‐adhesive and antibacterial functions, offering a versatile platform for ...
Mor Tsuriano‐Zernichov, Francesca Netti, Sigal Rencus‐Lazar, Moran Aviv, Lihi Adler‐Abramovich   +4 more
wiley   +1 more source

Chemical Applicability of Newly Introduced Topological Invariants and Their Relation with Polycyclic Compounds

Journal of Mathematics, 2022
In quantitative structure-property and structure-activity relationships studies, several graph invariants, namely, topological indices have been defined and studied due to their numerous applications in computer networks, biotechnology, and nanochemistry.
Dilshad Alghazzawi, Ali Raza, Usama Munir, Md. Shajib Ali   +3 more
doaj   +1 more source

2D Skeletal Muscle Thin Film Actuators Enhance Efficiency of Biohybrid Robots

Advanced Functional Materials, EarlyView.
2D skeletal muscle thin film actuators generate millinewton‐scale forces and millimeter‐scale strokes while remaining functional for over 30 days. Their force density is 20‐fold higher than 3D skeletal muscle actuators, enabling multi‐fin robots with tunable speed and multidirectional steering.
Maheera Bawa, Arielle Berman, Laura Schwendeman, Ferdows Afghah, Seanbiron Johnson, Ritu Raman   +5 more
wiley   +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

Geometric motives and the h-topology

, 2012
The aim of this paper is to give a detailed proof of a comparison of Voevodsky's categories of geometric motives with and without transfers, respectively.
Scholbach J.
core   +1 more source

Template-based geometric simulation of flexible frameworks [PDF]

, 2012
Specialised modelling and simulation methods implementing simplified physical models are valuable generators of insight. Template-based geometric simulation is a specialised method for modelling flexible framework structures made up of rigid units.
Stephen A. Wells, Asel Sartbaeva, Sartbaeva, Asel, Wells, Stephen A.   +3 more
core   +1 more source

Self‐Assembled Crystalline Peptoid Nanomaterials as Metal‐Free Enzyme Mimics for Enhanced Carbon Dioxide Hydration and Precipitation

Advanced Functional Materials, EarlyView.
Inspired by metal‐free carbonic anhydrases (CAs) that achieve efficient catalysis without metal cofactors, we herein report a sequence‐defined supramolecular peptoid platform that mimics metal‐free CAs and exhibits hydrolytic activity via a supramolecular assembly‐mediated proton‐transfer mechanism.
Progyateg Chakma, Ying Chen, Thi Kim Hoang Trinh, Anthony R. Perez, Jonathan Gil, Maria Casco Hidalgo, Botao Hao, Kyle Whitaker, Chun‐Long Chen   +8 more
wiley   +1 more source

Spacetime Memory: Phase-Locked Geometric Phases [PDF]

, 2002
Spacetime memory is defined with a holonomic approach to information processing, where multi-state stability is introduced by a non-linear phase-locked loop.
Binder, Bernd
core  

Embedding geometric lattices with topology

, 1986
It is shown that for n ⩾ 3, essentially every nondiscrete topological n-space is strongly embeddable into a topological projective space. Here a topological n-space is an n-dimensional geometric lattice with a topology satisfying three compatibility ...
Groh, Hansjoachim
core   +1 more source

Accelerated Discovery of Topological Spin Phase Diagrams in CrSBr Magnets Via High‐Throughput Optimization

Advanced Functional Materials, EarlyView.
Here, we develop a high‐throughput algorithm that accelerates the elucidation of phase diagrams of topological spin textures using limited computational resources at high numerical accuracy. Applying this framework to the van der Waals magnet CrSBr, we unveiled a hierarchy of previously unknown topological textures (domain‐wall bimerons, bimeron chains,
Andrew Lyall, Mohammad H. Badarneh, Cristian Bonato, Rebecca Cheung, Elton J. G. Santos   +4 more
wiley   +1 more source