Results 171 to 180 of about 3,166,835 (272)
Advanced Functional Materials, EarlyView.Tabular foundation model interrogates the synthetic likelihood of metal−organic frameworks. Abstract Metal–organic frameworks (MOFs) are celebrated for their chemical and structural versatility, and in‑silico screening has significantly accelerated their discovery; yet most hypothetical MOFs (hMOFs) never reach the bench because their synthetic ...
Xiaoyu Wu +3 more
wiley +1 more source
Machine learning-driven prediction model for successful weaning of patients from mechanical ventilation in ICU. [PDF]
Intensive Care Med ExpQiu C +5 more
europepmc +1 more source
Integrative Approaches for DNA Sequence‐Controlled Functional Materials
Advanced Functional Materials, EarlyView.DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo +4 more
wiley +1 more source
Context matters in machine learning based disease prediction with insights from diverse clinical and symptom data. [PDF]
Sci RepMohamed A, Abdelrehim M, Al-Barazie R.
europepmc +1 more source
Advanced Functional Materials, EarlyView.This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source
Electron–Matter Interactions During Electron Beam Nanopatterning
Advanced Functional Materials, EarlyView.This article reviews the electron–matter interactions important to nanopatterning with electron beam lithography (EBL). Electron–matter interactions, including secondary electron generation routes, polymer radiolysis, and electron beam induced charging, are discussed.
Camila Faccini de Lima +2 more
wiley +1 more source
Construction and Validation of a Model for Predicting Cervical Intraepithelial Neoplasia Grade II+: A Cross-Sectional Population Study via Machine Learning. [PDF]
Int J Womens HealthHe J +8 more
europepmc +1 more source
Advanced Functional Materials, EarlyView.In this study, the preparation techniques for silver‐based gas diffusion electrodes used for the electrochemical reduction of carbon dioxide (eCO2R) are systematically reviewed and compared with respect to their scalability. In addition, physics‐based and data‐driven modeling approaches are discussed, and a perspective is given on how modeling can aid ...
Simon Emken +6 more
wiley +1 more source
Machine learning for predicting clinical outcomes of hospitalised children: a systematic review of applications in low- and middle-income countries. [PDF]
EClinicalMedicineNkhono W +6 more
europepmc +1 more source