Results 41 to 50 of about 1,414,860 (296)
Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen +7 more
wiley +1 more source
A three-stage anaerobic sequencing batch reactor system was developed as a new anaerobic process with an emphasis on methane production from ethanol wastewater.
Achiraya Jiraprasertwong +3 more
doaj +1 more source
Inverse Design of Nanoparticulate Materials
Inverse design shifts nanomaterial development from empirical trial‐and‐error to predictive model‐driven strategies. It can rely on knowledge‐based, data‐based, or hybrid process and property functions. This perspective article provides a practical framework for applying inverse design based on instructive examples. It discusses which modeling approach
Nabi Etienne Traoré +5 more
wiley +1 more source
Programmable Carrier‐Free All‐Enzyme Beads for Modular Continuous‐Flow Biocatalysis
Genetically encoded enzyme building blocks self‐assemble into monodisperse, carrier‐free protein beads via a droplet‐based formulation strategy. These programmable catalytic particles enable modular continuous‐flow biocatalysis, from single‐enzyme reactions to multi‐enzyme cascades and bead–bead coupled reactor systems.
Jennifer Kühne +12 more
wiley +1 more source
To improve the efficiency of nitrogen removal from pharmaceutical wastewater, wastewater from traditional Chinese medicine was treated in an anaerobic sequencing batch reactor (ASBR) combined with a modified sequencing batch biofilm reactor (SBBR).
Kai Wang +5 more
doaj +1 more source
Culinary Chemistry as a Platform for Interfacial Materials Design
Culinary processes control interfaces through heating, shear, gelation, and molecular transport. This Review connects selected gastronomic examples with food‐derived nanomaterials, plasmonic sensing, anthocyanin photovoltaics, and intelligent packaging. Original agar‐based plasmonic films illustrate the proposed translation.
Josep Moreno +12 more
wiley +1 more source
Robotics in Ionizing Radiation Environments: Vulnerabilities, Hardening, and Future Directions
Radiation exposure causes cumulative degradation in robotic sensors, actuators, and electronic logic, often leading to undetected failures. This study maps component vulnerabilities, evaluates hardening and shielding strategies, and identifies testing gaps that must be addressed to enable next‐generation radiation‐tolerant robotic systems.
Francis A. K. Djirackor +4 more
wiley +1 more source
Preliminary Biomass Characterization in a Sequencing Batch Biofilm Reactor
AbstractThe paper reports the results of an investigation aimed to evaluate the influence of hydrodynamic conditions on physical and biochemical characteristics of granular sludge obtained in a SBBR system. Biomass density resulted very high, i.e. 70‐125 gTSS/Lbiomass, and this permitted to achieve a biomass concentration such high as 17‐45 gTSS/Lbed ...
DI IACONI C +3 more
openaire +3 more sources
Probing Electrocatalyst Design for Product Selectivity in CO2 Reduction
Selective CO2 electroreduction is controlled by catalyst structure, dynamic surface reconstruction, adsorbate interactions, and reaction microenvironment. This review summarizes Cu‐ and non‐Cu‐based catalysts, single‐atom and molecular systems, degradation pathways, and operando/computational strategies for steering CO2RR toward hydrocarbons ...
Suvodeep Sen +5 more
wiley +1 more source
Machine Learning of Temperature‐Dependent Chemical Kinetics Using Parallel Droplet Microreactors
An integrated droplet microfluidics and machine learning framework enables high‐throughput characterization of temperature‐dependent reaction kinetics. Time‐resolved measurements from thousands of droplets train Neural ODE models that accurately predict nonlinear reaction dynamics across diverse thermal environments, bridging large‐scale ...
Mamoru Saita, Yutaka Hori
wiley +1 more source

