Results 291 to 300 of about 5,656,159 (367)

Controlled Aggregation of Pyrene‐Based Supramolecular Nanostructures for Light‐Driven Switchable H2 or H2O2 Production

Advanced Functional Materials, EarlyView.
This work reports the self‐assembly of a pyrene derivative into two distinct nanostructures and their application in visible‐light photocatalysis. The two nanostructures exhibit completely different yet complementary photocatalytic activities, promoting either H2 or H2O2 evolution.
Marianna Barbieri, Matilde Doardo, Ilaria Fortunati, Anna Fortunato, Elisabetta Collini, Francesca Arcudi, Luka Ðorđević   +6 more
wiley   +1 more source

Dynamic Bearing-Angle for Vision-Based UAV Target Motion Analysis. [PDF]

Sensors (Basel)
Luo Y, Fu H, Fu T, Cha H, Tian B, Tang H, Liu F.   +6 more
europepmc   +1 more source

Conformally Perforated Shellular Metamaterials with Tunable Thermomechanical and Acoustic Properties

Advanced Functional Materials, EarlyView.
This study introduces Conformally Perforated Shellular Metamaterials (CPSMs), which overcome TPMS design limitations by mapping 2D cellular layouts onto 3D surfaces. CPSMs exhibit enhanced elastic stiffness, thermal conductivity, and acoustic performance compared to intact P‐type shellulars, demonstrating their potential as multifunctional ...
Benyamin Shahryari, Armin Mirabolghasemi, Shahin Eskandari, Xin Chen, Jean‐François Deü, Roger Ohayon, Atef Mohany, Alex Kalamkarov, Abdolhamid Akbarzadeh   +8 more
wiley   +1 more source

Improving Spectral Similarity and Molecular Network Reliability through Noise Signal Filtering in MS/MS Spectra. [PDF]

Anal Chem
Dalla Valle N, Garcia-Aloy M, Robatscher P, Franceschi P, Oberhuber M.   +4 more
europepmc   +1 more source

Machine Learning Guided Design of Nerve‐On‐A‐Chip Platforms with Promoted Neurite Outgrowth

Advanced Functional Materials, EarlyView.
Compared to labor‐intensive trial‐and‐error experimentation, a machine learning (ML)‐guided workflow, incorporating cell viability assays, data augmentation, ensemble modeling, and model interpretation, is developed to accelerate nerve‐on‐a‐chip optimization and uncover data‐driven design principles.
Tsai‐Chun Chung, Chu‐Chun Liang, Min‐Wei Huang, Tianle Chen, Joshua M. Little, Snehi Shrestha, Yi‐Chen Ethan Li, I‐Chi Lee, Po‐Yen Chen   +8 more
wiley   +1 more source

Adaptive distributed stochastic deep reinforcement learning control for voltage and frequency restoration in islanded AC microgrids with communication noise and delay. [PDF]

Sci Rep
Dehkordi NM, Nekoukar V.
europepmc   +1 more source

Composition and Resulting Band Alignment at the TiO2/InP Heterointerface: A Fundamental Study Combining Photoemission Spectroscopy and Theory

Advanced Functional Materials, EarlyView.
The chemical composition and band alignment are systematically investigated at the TiO2/InP heterointerface. Thin TiO2 films are deposited by ALD on atomically ordered, P‐terminated p‐InP(100). By combining UPS, XPS, and ab initio molecular dynamics, the atomistic structure and electronic alignment are revealed.
Mohammad Amin Zare Pour, Muhammad Nawaz Qaisrani, Christian Höhn, Johannes Laurenz Wolf, Negin Mogharehabed, Jennifer Velazquez Rojas, Wolfram Jaegermann, Erich Runge, Roel van de Krol, Thomas Hannappel, Christian Dreßler, Agnieszka Paszuk   +11 more
wiley   +1 more source

Flux‐Regulated Crystallization of Perovskites Using Machine Learning‐Predicted Solvent Evaporation Rates for X‐Ray Detectors

Advanced Functional Materials, EarlyView.
By integrating machine learning into flux‐regulated crystallization (FRC), accurate prediction of solvent evaporation rates in real time, improving crystallization control and reducing crystal growth variability by over threefold, is achieved. This enhances the reproducibility and quality of perovskite single crystals, leading to reproducible ...
Tatiane Pretto, Sergey Dayneko, Antoine Pavesic Junior, Nicholas Sandor, Alexander Hart, Yuki Haruta, Magdalena Bazalova‐Carter, Marcos J. L. Santos, Makhsud I. Saidaminov   +8 more
wiley   +1 more source