Results 151 to 160 of about 3,224,686 (322)

A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science

Advanced Engineering Materials, EarlyView.
We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann, Sarath Menon, Raphael Röske, Johannes Steinhülb, Michael Selzer, Jan Janssen, Tilmann Hickel, Ruth Schwaiger, Jörg Neugebauer   +8 more
wiley   +1 more source

Relational active learning for link-based classification

, 2015
Luke K. McDowell
openalex   +2 more sources

Explainable Active Learning (XAL): An Empirical Study of How Local Explanations Impact Annotator Experience [PDF]

, 2020
Bhavya Ghai, Q. Vera Liao, Yunfeng Zhang, Rachel Bellamy, Klaus Mueller   +4 more
openalex   +1 more source

MolQuery: Prediction of Lipid Synthesizability Using Active Learning. [PDF]

ACS Omega
Broadbent J, Vymětal J, Moayedpour S, Bailey M, Riahi S, Balsubramani A, Mikochik P, Even L, Gunaganti N, Dasari R, Karmakar S, Deng H, Agarwal V, Bar-Joseph Z, Jager S.   +14 more
europepmc   +1 more source

PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science

Advanced Engineering Materials, EarlyView.
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley   +1 more source

Project-based Learning in Promoting Active Learning for Arabic as Foreign Language Learners

, 2018
Laily Fitriani, Zakiyah Arifa
openalex   +1 more source

Automated active learning to optimize hydrogel drug release profiles. [PDF]

J Control Release
Cheong E, Radford DC, Gormley AJ.
europepmc   +1 more source

A Topology Optimization Framework for the Inverse Design of Nonlinear Mechanical Metamaterials

Advanced Engineering Materials, EarlyView.
This work uses topology optimization to design unit cells for mechanical metamaterials with a prescribed nonlinear stress–strain response. The framework adds contact and postbuckling modeling to synthesize microstructures for three highly nonlinear responses, including pseudoductile behavior, monostable with snap‐through buckling, and bistable ...
Charlie Aveline, Matthew Santer, Robert Hewson   +2 more
wiley   +1 more source

Using Deep Reinforcement Learning for Active Flow Control

, 2020
Marius Holm
openalex   +1 more source

Active Learning in Biostatistics Education for Medical Students: A Systematic Review and Meta-Analysis. [PDF]

Cureus
Quinapanta Castro NI, Choez-A JF, Orbea AF.   +2 more
europepmc   +1 more source