logo
ResearchBunny Logo
Bias-Free Multiobjective Active Learning for Materials Design and Discovery

Chemistry

Bias-Free Multiobjective Active Learning for Materials Design and Discovery

K. M. Jablonka, G. M. Jothiappan, et al.

Explore a groundbreaking bias-free multiobjective active learning algorithm developed by Kevin Maik Jablonka, Giriprasad Melpatti Jothiappan, Shefang Wang, Berend Smit, and Brian Yoo. This innovative approach streamlines materials discovery, especially for designing polymers, by efficiently identifying Pareto-optimal materials and minimizing evaluations through advanced simulations and machine learning.

00:00
00:00
Playback language: English
Citation Metrics
Citations
0
Influential Citations
0
Reference Count
0

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

Related Publications

Explore these studies to deepen your understanding of the subject.

A rapid and effective method for alloy materials design via sample data transfer machine learning
Engineering and Technology

A rapid and effective method for alloy materials design via sample data transfer machine learning

L. Jiang, Z. Zhang, et al.

An integrated high-throughput robotic platform and active learning approach for accelerated discovery of optimal electrolyte formulations
Chemistry

An integrated high-throughput robotic platform and active learning approach for accelerated discovery of optimal electrolyte formulations

J. Noh, H. A. Doan, et al.

Design and Analysis of a Deep Learning Ensemble Framework Model for the Detection of COVID-19 and Pneumonia Using Large-Scale CT Scan and X-ray Image Datasets
Medicine and Health

Design and Analysis of a Deep Learning Ensemble Framework Model for the Detection of COVID-19 and Pneumonia Using Large-Scale CT Scan and X-ray Image Datasets

X. Xue, S. Chinnaperumal, et al.

MaterialsAtlas.org: a materials informatics web app platform for materials discovery and survey of state-of-the-art
Engineering and Technology

MaterialsAtlas.org: a materials informatics web app platform for materials discovery and survey of state-of-the-art

J. Hu, S. Stefanov, et al.

Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny