Results 191 to 200 of about 166,587,123 (294)

Chromatic Polynomials of <i>F</i> <i>n</i>× <i>P</i>2  Graphs: Algebraic Analysis and Scheduling Applications. [PDF]

F1000Res
M Talab S, E Arif N.
europepmc   +1 more source

Reversible Tuning of Multiple Molecular Kinking for Stem Cell Regulation In Vivo

Advanced Functional Materials, EarlyView.
In this work, we introduce the novel concept of background component‐free “multiple kinks” material platform composed solely of liganded multiple kink‐bearing molecules as a strategy for dynamic biomaterial design. Tri‐kink molecules enable effective near‐infrared light‐triggered ligand masking and visible light‐triggered ligand exposure, thereby ...
Kanghyeon Kim, Jeongah Shin, Chowon Kim, Honghwan Choi, Dahee Kim, Sungkyu Lee, Choongmo Kang, Hyunsik Hong, Taehoon Ha, Nayeon Kang, Jungyeon Rhi, Ramar Thangam, Yuri Kim, Jeongyun Heo, Cheol Hwan Kwak, Jangsun Hwang, Daun Jeong, Rasoul Moradi, Sunghoon Hur, Hyun‐Cheol Song, Hyun‐Do Jung, Min Jae Lee, Rongqin Huang, Pooyan Makvandi, Yun Suk Huh, Ji Hye Choi, Wenguo Cui, Sehoon Kim, Heemin Kang   +28 more
wiley   +1 more source

From Schreier graphs to secure s-boxes using a group-theoretic design framework. [PDF]

Sci Rep
Razaq A, Ramzan M, Xin Q, Alolaiyan H, Alghazzawi D.   +4 more
europepmc   +1 more source

Exchange‐Coupled Two‐Dimensional MOFs

Advanced Functional Materials, EarlyView.
Graphene mediates ferromagnetic coupling between two‐dimensional metal‐organic frameworks and cobalt. Fe‐tetracyanobenzene develops a remanent magnetic response whose orientation follows the cobalt magnetization direction and persists up to room temperature, whereas Ni‐TCNB remains only field‐polarized.
Iulia Cojocariu, Pierluigi Gargiani, Manuel Valvidares, Frederik Schirdewahn, Matthias Muntwiler, Matteo Jugovac   +5 more
wiley   +1 more source

graphpancake: a Python package for representing organic molecules as molecular graphs utilizing electronic structure theory. [PDF]

J Cheminform
Sil S, Maskeri MA, Scheidt KA.
europepmc   +1 more source

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

Exploring anticancer drug structures through vertex based resolving parameters. [PDF]

Sci Rep
Chaudhry F, Hussain M, Hanif MF, Alzahrani AK, Fiidow OA.   +4 more
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

Intelligent Computing for Future Layered Cathodes in Sodium-Ion Batteries. [PDF]

Small
Liu Q, Fei Z, Shi J, Hu F, Shen Y, Kan H, Zhang Y, Dong H, Meng Q, Dong P, Zhang Y.   +10 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