Results 271 to 280 of about 702,219 (333)

Integrative Approaches for DNA Sequence‐Controlled Functional Materials

Advanced Functional Materials, EarlyView.
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo, Ewa Anna Oprzeska‐Zingrebe, Mariana Kozlowska, Lennart Hilbert, Iliya D. Stoev   +4 more
wiley   +1 more source

Identification of Drought Stress-Responsive Genes in Rice by Random Walk with Multi-Restart Probability on MultiPlex Biological Networks. [PDF]

Int J Mol Sci
Liu J, Zhu L, Cao D, Zhu X, Zhang H, Zhang Y, Liu J.   +6 more
europepmc   +1 more source

Photo‐Switching Thermal and Lithium‐Ion Conductivity in Azobenzene Polymers

Advanced Functional Materials, EarlyView.
Light‐responsive azobenzene polymers control thermal and ionic transport simultaneously through structural transitions. UV illumination disrupts π–π stacking, converting crystalline trans states to amorphous cis configurations. Thermal conductivity drops from 0.45 to 0.15 W·m−1·K−1 while Li+ diffusivity increases 100 fold. This dual transport switching
Jaeuk Sung, Jungwoo Shin, Qiujie Zhao, Minjee Kang, Christopher Evans, Cecilia Leal, Paul V. Braun, David G. Cahill   +7 more
wiley   +1 more source

A biased random walk approach for modeling the collective chemotaxis of neural crest cells. [PDF]

J Math Biol
Freingruber V, Painter KJ, Ptashnyk M, Schumacher LJ.   +3 more
europepmc   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

Continuous-time random walk and fractional order calculus models histogram analysis of glioma biomarkers, including <i>IDH1</i>, <i>ATRX</i>, <i>MGMT</i>, and <i>TERT</i>, on differentiation. [PDF]

Quant Imaging Med Surg
Ding Y, Zhu H, Li Y, Liu Y, Xie Y, Zhang J, Fu Y, Li S, Li L, Shen N, Zhu W.   +10 more
europepmc   +1 more source

Introducing Quantum Computing into Statistical Physics: Random Walks and the Ising Model with Qiskit [PDF]

Li, Zihan, Mazilu, Dan A., Mazilu, Irina
openalex  

Quantum‐Grade Nanodiamonds from a Single‐Step, Industrial‐Scale Pressure and Temperature Process

Advanced Functional Materials, EarlyView.
Novel method for creation of nitrogen‐vacancy centers in 50‐nm nanodiamonds based on high‐temperature plastic deformation is demonstrated. Compared to the electron irradiation approach, it yields nitrogen‐vacancy centers with significantly improved charge stability, T1 relaxation time, and optical Rabi contrast.
Yahua Bao, Michal Gulka, Parkarsh Kumar, Jakub Copak, Priyadharshini Balasubramanian, Yuliya Mindarava, Rémi Blinder, Michael Olney‐Fraser, Haotian Wen, Hana Spanielova, Helen Zhi Jie Zeng, Benjamin Whitefield, Igor Aharonovich, Jaroslav Hruby, Fedor Jelezko, J. Daniel Belnap, Shery L. Y. Chang, Petr Cigler   +17 more
wiley   +1 more source

Stochastic modeling of injection induced seismicity based on the continuous time random walk model. [PDF]

Sci Rep
Michas G, Vallianatos F.
europepmc   +1 more source

Mesoporous Carbon Thin Films with Large Mesopores as Model Material for Electrochemical Applications

Advanced Functional Materials, EarlyView.
Mesoporous carbon thin films possessing 70 nm mesopores are prepared on titanium substrates by soft templating of resol resins with a self‐synthesized poly(ethylene oxide)‐block‐poly(hexyl acrylate) block copolymer. A strategy to avoid corrosion of the metal substrate is presented, and the films are extensively characterized in terms of morphology ...
Lysander Q. Wagner, Joshua Schober, Pascal Dippell, Chantal Glatthaar, Smail Mekhilef, David Schäfer, Hannes Hergert, Marcus Rohnke, Matthias T. Elm, Bernd M. Smarsly   +9 more
wiley   +1 more source