Downplaying reality: is the UN population fund forgetting population growth and family planning? [PDF]
Götmark F +5 more
europepmc +1 more source
Sub‐nm2 Ferroelectric Domains via Charged 180° Walls in ZrO2
Ferroelectric ZrO2${\rm ZrO}_2$ thin films host closely spaced charged 180∘$^{\circ }$ domain walls that vertically compress polar domains beyond their lateral half‐unit‐cell limit. These head‐to‐head and tail‐to‐tail walls show distinct bulk‐like structures, natural oxygen‐mediated stabilization, and highly asymmetric mobility, highlighting new ...
Nashrah Afroze +33 more
wiley +1 more source
Fertility knowledge and family planning perspectives among female physicians: a cross-sectional study. [PDF]
Gonder A, Schippert C, von Versen F.
europepmc +1 more source
Giant Anisotropic Spin Absorption in Chiral Hybrid Semiconductors
Researchers uncover that chiral hybrid organic–inorganic semiconductors absorb spin differently depending on its polarization direction. This anisotropic spin absorption is primarily driven by the local symmetry breaking within the layered structure.
Cong Yang +12 more
wiley +1 more source
Family planning self-care: From global frameworks to local meaning, perceptions, experiences and opportunities in Niger. [PDF]
Fotso JC +4 more
europepmc +1 more source
1T‐to‐2H Phase Evolution During Epitaxial Growth of Transition Metal Dichalcogenides
During MOCVD growth of MoS2 and WSe2, a transient metallic 1T phase emerges in early, edge‐rich, chalcogen‐deficient domains and declines as the films ultimately coalesce as 2H material. Together, experiments and ReaxFF simulations link domain size, edge stoichiometry, and vacancies to this evolution.
Andrew R. Graves +8 more
wiley +1 more source
Scoping review of barriers and facilitators to vasectomy uptake in Pakistan: a call for gender-equitable family planning. [PDF]
Ahmed JM +3 more
europepmc +1 more source
Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng +24 more
wiley +1 more source
Family planning exemplar country selection methodology: time lag and trends analysis. [PDF]
Memon ZA +9 more
europepmc +1 more source

