Testing the limits: serial crystallography using unpatterned fixed targets. [PDF]
Gorel A +12 more
europepmc +1 more source
A new drag and lift correlation for spherocylinders from fully resolved Immersed Boundary Method
Abstract Many industrial processes deal with non‐spherical particles, e.g., mineral mining and biomass conversion. It is crucial to understand the particles' hydrodynamics to control and optimize these processes. To extend the current state‐of‐the‐art from arrays of spherical particles to spherocylindrical particles, we performed extensive particle ...
A. H. Huijgen +4 more
wiley +1 more source
Get the unbalance right: asymmetric transfer effects in cognitive offloading. [PDF]
Florean I +3 more
europepmc +1 more source
A practical electrodialysis model for accelerating system development
Abstract Empirical optimization of electrodialysis (ED) is dependent on repetitive experiments with incremental adjustments, which is cost prohibitive at scale. While models can reduce the costs associated with optimization and scale‐up, existing ED models are limited in application to specific use cases and tend to be developed for the exploration of ...
Smith Pittman +3 more
wiley +1 more source
AI-discovered tuning laws explain neuronal population code geometry
Tilbury R +8 more
europepmc +1 more source
Revised taxonomy reveals sustained introgression and secondary contact in ancient lake ricefishes. [PDF]
Yashima Y +11 more
europepmc +1 more source
Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj +2 more
wiley +1 more source
Parameter estimation of hyper-spherical diffusion models with a time-dependent threshold: An integral equation method. [PDF]
Hadian Rasanan AH +3 more
europepmc +1 more source
Multimodal Learning with Rashomon Analysis for Battery Discharge Capacity Prediction
Multimodal fusion integrates composition, crystal‐structure, and radial‐distribution descriptors to predict battery discharge capacity. Rashomon analysis across near‐optimal models reveals that explanatory variation is structured rather than arbitrary, separating stable mechanistic signals from model‐contingent attributions and providing a more ...
Jue Gong +4 more
wiley +1 more source
Stochastic Model for a 4 QAM Transmission Subject to the Epidemic Interference Effect. [PDF]
Alencar MS.
europepmc +1 more source

