Results 191 to 200 of about 58,596 (248)
A clear correlation between electrolyte salt chemistry and Solid Electrolyte Interface (SEI) performance in lithium metal batteries is established using in operando FTIR spectroscopy. This study shows that LiTFSI instantaneously forms a robust, inorganic organic hybrid SEI (LiF, Li3N, Li2O, ROCO2Li, ROLi) that minimizes overpotential, while less ...
Samia Rahman +3 more
wiley +1 more source
MoleculeFormer is a GCN-transformer architecture for molecular property prediction. [PDF]
Qin M +5 more
europepmc +1 more source
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
Addressing model overcomplexity in drug-drug interaction prediction with molecular fingerprints. [PDF]
Gil-Sorribes M, Molina A.
europepmc +1 more source
Molecular granular material glass is fabricated by crosslinking sub‐nm POSS clusters with dynamic borate ester bonding while the materials combine high transparency, modulus, and hardness with superior impact resistance and (re)processability, offering a promising strategy for creating robust yet highly processable organic glasses.
Haiyan Xiao +4 more
wiley +1 more source
Latent fingerprint recovery on submerged non-porous surfaces using phloxine B-based small particle reagent. [PDF]
Kushwaha D, Kaur J, Sodhi GS.
europepmc +1 more source
A strategy of constructing perovskite‐type ion‐conductive interphase modulation layer is proposed to break down ion‐dipole interactions of [Zn(H2O)x]2+ to promote Zn2+ desolvation and diffusion kinetics against dendrite growth and active water‐induced hydrogen evolution reactions.
Wenbin Wang +14 more
wiley +1 more source
Browsing behavior exposes identities on the Web. [PDF]
Oliveira M +4 more
europepmc +1 more source
Customizing Tactile Sensors via Machine Learning‐Driven Inverse Design
ABSTRACT Replicating the sophisticated sense of touch in artificial systems requires tactile sensors with precisely tailored properties. However, manually navigating the complex microstructure‐property relationship results in inefficient and suboptimal designs.
Baocheng Wang +15 more
wiley +1 more source

