Results 161 to 170 of about 6,071,234 (268)

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

open access: yesAdvanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang   +2 more
wiley   +1 more source

Physics‐Constrained Constitutive Learning of Rate‐Limiting Timescales for Efficient Hydrogen‐Based Direct Reduction for Green Steel Making

open access: yesAdvanced Science, EarlyView.
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai   +3 more
wiley   +1 more source

Ultra‐Radiostable Covalent Conformationally Interlocked Networks Enabling a Universal Radiometal‐Labeling Platform for Cancer Radioembolization

open access: yesAdvanced Science, EarlyView.
Conjugated poly(imide dioxime)‐based microspheres establish a radiometal coordination‐driven conformational interlocked network with ultra‐high radiostability. This platform enables low‐temperature, multi‐radionuclide labeling for SPECT/PET/MRI imaging and radionuclide therapy. Mechanistic insights from EXAFS and DFT reveal enhanced stability, while in
Xiao Xu   +10 more
wiley   +1 more source

A Bright Ratiometric Dipyrene Probe for Functional Imaging of Condensate Microenvironments in Living Cells

open access: yesAdvanced Science, EarlyView.
Ratiometric dipyrene imaging resolves monomer (M) and excimer (E) channels and computes pixel‐wise E/M maps within biomolecular condensates, yielding physicochemical fingerprints shaped by coupled polarity‐related solvation and microviscosity. These spatial fingerprints enable quantitative phenotyping of cellular states, exemplified by separation of ...
Koki Matsumoto   +20 more
wiley   +1 more source

The Wells-Riley Model Revisited II: Parameter Uncertainty and Population Heterogeneity. [PDF]

open access: yesRisk Anal
Marshall M   +7 more
europepmc   +1 more source

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