Results 181 to 190 of about 184,713 (273)
A fluorinated cyclic ether, FDOL, is shown to stabilize Mg metal anodes by tuning Mg2+ solvation of the G2 electrolyte. The G2‐FDOL electrolyte suppresses passivation and thick, diffusion‐blocking Mg deposits, enabling more uniform Mg plating/stripping and sustained interfacial reactions.
Hafiz Ahmad Ishfaq +9 more
wiley +1 more source
EPIC-NET: EEG-based epilepsy classification and brain localization using Optuna wave-gated recurrent unit network. [PDF]
Manjupriya R, Leema AA.
europepmc +1 more source
AI in chemical engineering: From promise to practice
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +4 more
wiley +1 more source
ZenBand: a numerical solver of photonic crystals with a graphical user interface. [PDF]
Zinkevičius A +2 more
europepmc +1 more source
A novel convolutional neural network architecture enables rapid, unsupervised analysis of IR spectroscopic data from DRIFTS and IRRAS. By combining synthetic data generation with parallel convolutional layers and advanced regularization, the model accurately resolves spectral features of adsorbed CO, offering real‐time insights into ceria surface ...
Mehrdad Jalali +5 more
wiley +1 more source
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy +8 more
wiley +1 more source
Harnessing Machine Learning to Understand and Design Disordered Solids
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
Evaluation of the degree of conversion of flowable bulk fill and dual-cure composite resins for intracanal root reinforcement in teeth with structurally weakened roots: An <i>in vitro</i> Fourier transformer infrared study. [PDF]
Bhandari SS +4 more
europepmc +1 more source
This study presents a compact, three IMU wearable system that enables accurate motion capture and robust gait‐feature extraction, thereby supporting reliable machine learning‐based balance evaluation. Accurate assessment of balance is critical for fall prevention and targeted rehabilitation, particularly in older adults and individuals with ...
Seok‐Hoon Choi +8 more
wiley +1 more source
Persistence diagrams as morphological signatures of cells: A method to measure and compare cells within a population. [PDF]
Bokor Bleile Y +3 more
europepmc +1 more source

