Results 171 to 180 of about 84,976 (267)

A Stable Isotope Tracing Primer for the Mass Spectrometrist. [PDF]

open access: yesAnnu Rev Anal Chem (Palo Alto Calif)
Solmonson A, Faubert B, Mathews TP.
europepmc   +1 more source

Ordered Hydrogen Bond Network Regulates Synergistic H and OH Spillover to Promote Alkaline Hydrogen Evolution

open access: yesAdvanced Energy Materials, EarlyView.
Ru─Ni nanoclusters are anchored on WC via a rapid microwave quasi‐solid‐state method to build an ordered flexible interfacial hydrogen bond network. This structure boosts water dissociation and enables barrier‐free H/OH transport via the Grotthuss mechanism, forming dual H‐to‐Ru and OH‐to‐Ni spillover pathways to overcome the key challenges of alkaline
Xiangrui Zhuge   +8 more
wiley   +1 more source

A Large Scale Multi‐Modal Workflow for Battery Characterization: From Concept to Implementation

open access: yesAdvanced Energy Materials, EarlyView.
Isolated characterization techniques produce independent datasets and single‐property insights. However, progressively more holistic interpretations of battery‐material behavior is needed in the future. Here we demonstrate a coordinated multimodal workflow enabling the correlation of heterogeneous datasets and the construction of multidimensional ...
François Cadiou   +34 more
wiley   +1 more source

Simultaneous Electronic and Crystallographic Modulation of Cs3Bi2Br9 by Single‐Element Sn Substitution for Enhanced CO2 Photoreduction

open access: yesAdvanced Energy Materials, EarlyView.
Aliovalent B‐site substitution with Sn2+ in lead‐free perovskite, Cs3Bi2Br9, is employed to simultaneously induce lattice contraction and bromine vacancy through charge imbalance and ionic radius mismatch. The resulting structural distortion modulates the electronic structure and improves charge separation, leading to enhanced visible‐light‐driven CO2 ...
Justin Khor   +7 more
wiley   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

open access: yesAdvanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

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