Results 171 to 180 of about 4,776,147 (349)
Dynamic Quantile Regression Forest
Le potenzialità degli algoritmi di machine learning per la valutazione dei rischi di mercato sono ancora poco conosciute, in particolar modo per quel che concerne il calcolo del Value-at-Risk (VaR). Lo scopo di questo lavoro, dunque, è quello di introdurre la regression forest quantilica dinamica, un modello che unisce le regression forest con il ...
Andreani Mila, Petrella Lea
openaire +2 more sources
Ferroelectric memcapacitors enable non‐volatile, voltage‐programmable capacitance tuning for adaptive electronics. A TiN/HfZrO/TiN device stack demonstrates more than eight stable capacitance states within a 24 pF memory window in compact 60 ×$\times$ 60 μm2$\umu{\rm m}^{2}$ devices at low operating voltages.
Deepika Yadav +6 more
wiley +1 more source
We developed a micro‐sized, biocompatible implant for postoperative sustained delivery of anti‐fibrotic antibodies in glaucoma surgery. Machine learning‐guided optimization of polymer composition, implant geometry, and porosity enabled precise control of drug release.
Mengqi Qin +5 more
wiley +1 more source
Peptomer Linkers Enable Kinetic Control over Co‐Delivery of Multiple Chemotherapeutics
A key challenge in combinatorial chemotherapeutic drug delivery is independent control over release kinetics, especially with drugs of similar size and structure. Here, peptoid substitutions to proteolytically degradable peptides enabled the design of fast and slow‐releasing drug linkers.
Carolyn M. Watkins +3 more
wiley +1 more source
Fast‐acting hydrogel seals bleeding wounds as the illustrated injectable, pH‐responsive network rapidly gels in situ to stop hemorrhage, adhere strongly to wet tissue, and release antibiotics in a controlled, pH‐dependent manner. The material withstands high pressures, shows excellent biocompatibility, and degrades safely, offering a versatile platform
Arvind K. Singh Chandel +5 more
wiley +1 more source
Unveiling the Role of Curvature in Carbon for Improved Energy Release of Ammonium Perchlorate
High‐curvature carbon materials identified via machine learning and simulation can enhance the heat release and combustion performance of ammonium perchlorate. ABSTRACT The catalytic role of carbon curvature in the thermal decomposition of ammonium perchlorate (AP) remains largely unexplored. To address this gap, this study employs machine learning and
Dan Liu +8 more
wiley +1 more source
Opportunities of Semiconducting Oxide Nanostructures as Advanced Luminescent Materials in Photonics
The review discusses the challenges of wide and ultrawide bandgap semiconducting oxides as a suitable material platform for photonics. They offer great versatility in terms of tuning microstructure, native defects, doping, anisotropy, and micro‐ and nano‐structuring. The review focuses on their light emission, light‐confinement in optical cavities, and
Ana Cremades +7 more
wiley +1 more source
A colloid‐mediated electroless plating (CMEP) strategy is proposed to fabricate hierarchically porous, amorphous Fe‐doped NiWB electrocatalysts under ambient conditions. The in situ formation of Fe‐W‐O colloidal species guides the formation of robust, porous catalyst layers with excellent mass transfer and durability, sustaining 500 mA cm−2 for 2000 h,
Yu Liao +8 more
wiley +1 more source
Coupling a dual‐gradient carbonized framework with Fe2O3/Fe‐N‐C catalytic sites enables spatially synchronized sulfur redox across the entire electrode thickness in high‐mass‐loading Li–S batteries. This synergistic structural–catalytic design effectively mitigates concentration, ohmic, and electrochemical polarization, thereby achieving high‐capacity ...
Yuxuan Zhang +6 more
wiley +1 more source

