Results 181 to 190 of about 59,947 (259)

Interfacial Control in Cu–MXene Hybrids Enables Selective NOx‐to‐NH3 Electroconversion: A Critical Review

Advanced Science, EarlyView.
Cu‐MXene interfacial catalysts provide a promising platform for electrochemical NOx upcycling to ammonia. The synergy between Cu active sites and conductive, surface‐tunable MXene supports promotes NOx adsorption, intermediate stabilization, and selective NH3 formation while suppressing competing hydrogen evolution, offering a route toward sustainable ...
Hafiz Muhammad Adeel Sharif, Gechuanqi Pan, Yuwei Wang, Yasir Abbas, Asif Mahmood, Changping Li   +5 more
wiley   +1 more source

CFD Mechanistic Modeling of a Monolithic Chromatography System: Challenges and Opportunities. [PDF]

ACS Omega
Coimbra JC, Prata DM, Fernandes RN, Arêdes Martins M, Minim LA.   +4 more
europepmc   +1 more source

Autonomous High‐Throughput Characterization of Liquid‐Liquid Phase Behavior

Advanced Science, EarlyView.
This study introduces an automated dual modality platform, combining asymmetric capacitance deviation and multiangle turbidimetry, for high‐throughput characterization of liquid‐liquid phase behavior across chemically diverse fluid systems. The platform enables miscibility classification, resolution of phase separation kinetics and emulsion stability ...
Tarek Eid, Maryam Ebrahimiazar, Mohammad Zargartalebi, David Sinton   +3 more
wiley   +1 more source

Mathematical modeling of planar cell polarity: principles, approaches, and open questions. [PDF]

NPJ Syst Biol Appl
Rizvi MS, Jolly MK.
europepmc   +1 more source

Deep Learning Network‐Tailored Microenvironment Matching of 4D Bioprinting Bioactive Scaffolds for Bone Regeneration

Advanced Science, EarlyView.
A DLN dataset was built to analyze MABS composition versus in vitro/in vivo osteogenesis and angiogenesis. An MLP neural network, taking BG morphological parameters as input, extracts bioactive features from these datasets. A rabbit tibial defect model then validates 4D‐printed MABS for adaptability and bone regeneration in critical defects.
Xiongjie Liang, Yuechi Zhang, Weifeng Hu, Shiyan Lv, Fan Jia, Yan Zhang, Feng Wu, Changjiang Yang, Guanqi Zhen, Jinglong Yan, Xu Cui, Wei Zhao, Guanghua Chen   +12 more
wiley   +1 more source

Topological Data Analysis for Unsupervised Feature Selection in Large Scale Spatial Omics Data Sets. [PDF]

Bull Math Biol
Boyle J, Hamm G, Williams E, Hartman RJ, Söderburg M, Henry I, Casey M.   +6 more
europepmc   +1 more source

Freestanding Bamboo‐Like Nitrogen‐Doped Carbon Nanofibers/PANI Dual‐Conductive Cathodes via Interfacial Engineering for High‐Performance Lithium–Sulfur Batteries

Advanced Science, EarlyView.
Bamboo‐like nitrogen‐doped carbon fibers (BNCFs) were synthesized via a vapor‐liquid‐solid catalytic growth method and further integrated with polyaniline to fabricate a freestanding BNCFs/S/PANI cathode. The PANI coating and BNCFs framework synergistically establish an interconnected conductive network with abundant nitrogen‐active sites, thereby ...
Jie Yang, Fan Wang, Enci Wang, Haile Qian, Terence Xiaoteng Liu, Jiarui Huang   +5 more
wiley   +1 more source

Editorial: Integrative biophysical models to uncover fundamental processes in plant growth, development, and physiology. [PDF]

Front Plant Sci
Mohanty B, Dreyer I.
europepmc   +1 more source

Thin‐Film Thermal Sensors on Chitosan Substrates for Sustainable Transient Electronics

Advanced Electronic Materials, EarlyView.
Fully transient thin‐film temperature sensors are realized on pure chitosan substrates using Mo‐based RTDs and a‐IGZO/Mo thermistors. The devices exhibit high sensitivity, mechanical flexibility, humidity‐aware operation, and complete dissolution in natural solvents.
Ahmed Rasheed, Soufiane Krik, Sundus Riaz, Hafiza Faiqa Maqsood, Jacopo Nicoletti, Riccardo Zamboni, Guglielmo Trentini, Pietro Ibba, Franco Cacialli, Andrea Gaiardo, Giuseppe Cantarella, Niko Münzenrieder, Paolo Lugli, Giovanni Antonio Salvatore, Luisa Petti   +14 more
wiley   +1 more source

Study on pore features in sintered die-attach microstructures based on machine learning. [PDF]

Sci Rep
Gao R, Tatsumi H, Kobatake T, Ueshima M, Nishikawa H.   +4 more
europepmc   +1 more source