Results 221 to 230 of about 3,620,411 (284)
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
Integrating AUROC and SSMD for quality control in high-throughput screening assays. [PDF]
Zhang XD.
europepmc +1 more source
Composite cathode engineering and stack pressure co‐optimization enable a high‐performance all‐solid‐state chloride‐ion battery based on a VOCl/CsSn₀.₉In₀.₀₆₇Cl3/In architecture, delivering 169 mAh g−1 with 500‐cycle durability. Electrode‐resolved impedance tracking via distribution of relaxation times revealed progressive interphase and charge ...
Soutam Panja +7 more
wiley +1 more source
Quantum Geometric Engineering of Dual Hall Effects in 2D Antiferromagnetic Bilayers via Interlayer Magnetic Coupling. [PDF]
Sun Z +5 more
europepmc +1 more source
Bio‐based gel polymer electrolytes promise sustainable, mechanically adaptable zinc–air batteries, yet their progress is constrained by inconsistent characterization. This review critically links formulation, structure, interfaces, and cell performance, identifies methodological gaps under alkaline operating conditions, and proposes application ...
Matteo Milanesi +6 more
wiley +1 more source
Deep learning for cardiac CT segmentation for congenital heart disease: A systematic review. [PDF]
Yu ST +4 more
europepmc +1 more source
This review looks at the different experimental techniques that measure spatiotemporal charge carrier dynamics. This information is viewed in the context of particulate photocatalysts, outlining the insights these techniques provide and how they advance our understanding.
Sutripto Khasnabis, Robert Godin
wiley +1 more source
Enhancement of cryptography algorithms for security of cloud-based IoT with machine learning models. [PDF]
Qasem MA +5 more
europepmc +1 more source
Weakly solvating CME–TTE and localized high‐concentration G2–TTE electrolytes redirect lithium–sulfur chemistry toward quasi‐solid‐state conversion through distinct coordination environments. Molecular dynamics and multimodal electrochemical and spectroscopic measurements show that G2–TTE couples multidentate solvent coordination, anion participation ...
Boyi Pang +12 more
wiley +1 more source

