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
Developing an Integrity Policy for a Technical University: The Case of TU Delft. [PDF]
Roeser S, Copeland S.
europepmc +1 more source
A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary +1 more
wiley +1 more source
Machine‐Learning‐Assisted Onset‐Time Determination in Transient Luminescence Thermometry
Artificial neural networks enable autonomous extraction of onset times from transient heating curves in luminescence thermometry. Using Ln3+‐doped upconverting nanoparticles as luminescent thermometers, we combine experimental transients with physically motivated synthetic curves to enhance data diversity and improve generalization.
David J. Sousa +3 more
wiley +1 more source
Adaptation and validation of the Swedish Five Factor Obsessive-Compulsive Inventory-Short Form in adults with and without eating disorder psychopathology. [PDF]
Ejdemyr I +4 more
europepmc +1 more source
Prediction‐Guided Two‐Step Solid‐State Exploration of Unknown Pseudo‐Ternary Oxides
Prediction‐guided selection combined with two‐step solid‐state exploration enables efficient search of unknown pseudo‐ternary oxides. Broad robotic slurry screening followed by manual single‐phase isolation leads to the discovery of a new oxide, Ba5SnV6O22, showing how data‐guided experiments connect unexplored composition regions to new materials ...
Hiroyuki Hayashi
wiley +1 more source
Intuitive and deliberate decisions can be accounted for by the same cognitive process model. [PDF]
Forst S, Glöckner A.
europepmc +1 more source
Parental involvement in neonatal decision-making: a narrative review. [PDF]
Ma Y +5 more
europepmc +1 more source
How is shared decision making used in the treatment of patients with liver disease? a scoping review. [PDF]
Kang H, Ryu DY, Jang Y.
europepmc +1 more source
From the Oracle of Delphi to Intensive Care Unit Guidelines: Consensus Building Using the Delphi Method. [PDF]
Schultz MJ, Nasa P.
europepmc +1 more source

