Results 111 to 120 of about 400 (179)
Machine Learning for Green Solvents: Assessment, Selection and Substitution
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
wiley +1 more source
Magnetoelectric nanoparticles (MENPs) serve as externally controlled, MRI‐activated theranostic agents for targeted cancer therapy by inducing electric field‐based ablation in solid tumors. MENPs enable simultaneous precise tumor ablation and MRI signal modulation, allowing real‐time treatment monitoring and prediction of therapeutic outcomes with no ...
John Michael Bryant +28 more
wiley +1 more source
Tracking physical impacts is important in many fields. Self‐assembled microparticles made from polydiacetylene and silk fibroin that change color from blue to red when hit can provide an alternative approach to traditional mechanical transducers, quantitatively visualizing impact with responses ranging from <100 to 770 N.
Marco Lo Presti +4 more
wiley +1 more source
A bimodal cathode composed of single‐ and polycrystalline NCM particles induces end‐of‐discharge overpotential rise via reaction heterogeneity, effectively regulating the depth of discharge of SiO in SiO/graphite anodes. This design suppresses mechanical degradation of SiO and enables long‐term cycling stability without compromising the energy density ...
Hyoyeong Kim +10 more
wiley +1 more source
This study presents thin, environmentally stable hydrogel power sources inspired by electric fish. Made using layer‐by‐layer spin‐coating with glycerol‐enhanced solutions, they offer precise layer control, long‐term hydration, and anti‐freezing stability.
Dor Tillinger +4 more
wiley +1 more source

