Results 181 to 190 of about 360,521 (299)

Inversion of the Impedance Response Towards Physical Parameter Extraction Using Interpretable Machine Learning

Advanced Energy Materials, EarlyView.
ABSTRACT Interpreting the impedance response of perovskite solar cells (PSCs) is challenging due to the complex coupling of ionic and electronic motion. While drift‐diffusion (DD) modelling is a reliable method, its mathematical complexity makes directly extracting physical parameters from experimental data infeasible.
Mahmoud Nabil, Isel Grau, Ricardo Grau‐Crespo, Said Hamad, Juan A. Anta   +4 more
wiley   +1 more source

A Comprehensive Dataset for Image Segmentation in Custom Manufacturing Environments. [PDF]

Sci Data
Bell M, Vitali RV.
europepmc   +1 more source

COLOR REVOLUTIONS FROM THEORY TO PRACTICE

, 2020
This book explores the phenomenon of “color revolutions” in terms of its influence on the Russian Federation's foreign policy strategy and the system of international relations. It analyses the existing approaches to studying the phenomenon, its theoretical aspects and practical peculiarities, the problem of its definition taking into account relevant ...
openaire   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

From data to decisions: a paradigm shift in fruit agriculture through the integration of multi-omics, modern phenotyping, and cutting-edge bioinformatic tools. [PDF]

Front Plant Sci
Pacheco-Ruiz P, Osorio S, Vallarino JG.
europepmc   +1 more source

Laparoscopic Colorectal Surgery in the Era of Robotics: Evolution, Eclipse, or Equilibrium?

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Minimally invasive colorectal surgery has undergone a remarkable transformation over the past three decades. Laparoscopy, once viewed with skepticism, is now firmly established as a standard approach, supported by robust randomized trials demonstrating oncologic safety and improved recovery compared to open surgery.
Amanjeet Singh, Archit Gupta, Azhar Perwaiz, Adarsh Chaudhary   +3 more
wiley   +1 more source

Patterns and sociodemographic influences on occupational physical activity at the Federal Rural University of Rio de Janeiro. [PDF]

Rev Bras Med Trab
Palau RFGN, Carvalho MV, Vellasco MS, de Oliveira AJ.   +3 more
europepmc   +1 more source

Which Method Best Predicts Postoperative Complications: Deep Learning, Machine Learning, or Conventional Logistic Regression?

Annals of Gastroenterological Surgery, EarlyView.
Deep learning has shown promise in predicting postoperative complications, particularly when using image or time‐series data. However, on tabular clinical data such as the NCD, it often underperforms compared to conventional machine learning. Integrating multimodal data may enhance predictive accuracy and interpretability in surgical care.
Ryosuke Fukuyo, Masanori Tokunaga, Hiroyuki Yamamoto, Hideki Ueno, Yusuke Kinugasa   +4 more
wiley   +1 more source

Profiling ADC targets in cholangiocarcinoma: implications for therapeutic development. [PDF]

NPJ Precis Oncol
Nakazawa M, Arif W, Baraban E, Matoso A, Hallab E, Kartalia E, Azad NS, Baretti M, Zabransky DJ, Anders RA, Oshima K, Yarchoan M.   +11 more
europepmc   +1 more source

Reaction kinetics model in liquid and solid phases and its parameterization for room temperature sodium–sulfur battery

AIChE Journal, EarlyView.
Abstract A multipore, multiphase, continuum model is assembled for the first time for room temperature sodium–sulfur (RT Na–S) batteries, with Na+ ion transport and redox reactions in the liquid electrolyte phase and semisolid phase of precipitates softened by the electrolyte solvent, as guided by molecular dynamics simulations in this study ...
Hakeem A. Adeoye, Allan Foster, John F. Watts, Constantina Lekakou   +3 more
wiley   +1 more source