Results 201 to 210 of about 364,632 (296)

Alcohol‐Adduct Mediated Precursor Stabilization Strategies for Conformal SnO2 Layers in Highly Efficient and Stable Perovskite Solar Modules

open access: yesAdvanced Energy Materials, EarlyView.
An alcohol‐adduct‐mediated strategy is employed to stabilize tin isopropoxide for the formation of a homogeneous double electron transport layer (ETL) incorporating SnO2 nanoparticles (NPs). This double‐ETL exhibits improved optical and charge‐transport properties due to reduced defect density and better energy level alignment, resulting in high ...
You‐Hyun Seo   +10 more
wiley   +1 more source

c-Fos-driven metabolic switch of α-ketoglutarate orchestrates progression in prostate cancer. [PDF]

open access: yesCell Death Dis
Ao L   +15 more
europepmc   +1 more source

Associations Between Complement C4, Habitual Constipation, and Sleep Disturbance in Oldest-Old and Centenarian Chinese Adults

open access: yes
Zhigao Sun,1,* Yan Nie,2,* Jianqiu Pei,3,* Ming Gao,4,* Zhe Luan,5,* Yali Zhao,6 Zhaoxing Li,7 Shihui Fu8,9 1Traditional Chinese Medicine Department, Hainan Hospital of Chinese People’s Liberation Army General Hospital, Sanya, People ...
Li Z   +7 more
core  

Multiscale Perspectives on Perovskite Instability: From Atomistic Deformation to Device Degradation in Perovskite Solar Cells

open access: yesAdvanced Energy Materials, EarlyView.
Multiscale perspectives on how excess charges in soft lead halide perovskites induce operational instability in photovoltaic devices are presented. Localized carriers formed under thermodynamic non‐equilibrium states modify atomistic interactions and drive lattice distortions, accelerating device degradation.
Joo‐Hong Lee   +6 more
wiley   +1 more source

Co(II), Cu(II), and Ni(II) Coordination Complexes: Synthesis, Characterization, Experimental, and Computational Study on Potential Antiplasmodial Activity. [PDF]

open access: yesChemMedChem
Ezenarro-Salcedo D   +10 more
europepmc   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

open access: yesAdvanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park   +19 more
wiley   +1 more source

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