Results 211 to 220 of about 35,050 (341)
Prediction of an alternative high-pressure route to polymeric carbon dioxide as a metastable energetic material. [PDF]
Paul R, Crowhurst JC, Bonev SA.
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
The Effect of Different Particle Size Distribution on the Quality of Rice Flour. [PDF]
Yue Q +6 more
europepmc +1 more source
Degradation Mechanism of Phosphate‐Based Li‐NASICON Conductors in Alkaline Environment
The presence of water in the cathode of a Li‐air battery shifts reactions to produce LiOH, creating a corrosive, alkaline environment. This study investigates the alkaline stability of the common Li‐NASICON solid‐state conductor chemistries through a systematic experimental study combined with computational modeling to understand the degradation ...
Benjamin X. Lam +3 more
wiley +1 more source
Thermal Oxo-degradation and Catalytic Upgrading of Plastic Waste to Light Olefins for a Circular Economy. [PDF]
Brown JL +9 more
europepmc +1 more source
From Materials to Systems: Challenges and Solutions for Fast‐Charge/Discharge Na‐Ion Batteries
This review systematically analyzes the key characteristics limiting the fast‐charge/discharge capability of Na‐ion batteries (SIBs) from a multi‐scale perspective encompassing electrode materials, the electrode‐electrolyte interface, and the system. Furthermore, it presents practical solution strategies for the fundamental issues arising at each scale,
Bonyoung Ku +5 more
wiley +1 more source
This review provides a bottom‐up evaluation of sodium‐ion battery safety, linking material degradation mechanisms, cell engineering parameters, and module/pack assembly. It emphasizes that understanding intrinsic material stability and establishing coordinated engineering control across hierarchical levels are vital for preventing degradation coupling ...
Won‐Gwang Lim +5 more
wiley +1 more source
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu +6 more
wiley +1 more source
Designing Natural Rubber Shape Stabilized Phase Change Materials: Impact of Matrix Network on Thermophysical Properties. [PDF]
Neira-Viñas M, Candau N, Fernández AI.
europepmc +1 more source

