Big-Data Science in Porous Materials: Materials Genomics and Machine Learning

18 January 2020

Papers citing "Big-Data Science in Porous Materials: Materials Genomics and Machine Learning"

6 / 6 papers shown

Title
SELFIES and the future of molecular string representations Mario Krenn Qianxiang Ai Senja Barthel Nessa Carson Angelo Frei ... Andrew Wang Andrew D. White A. Young Rose Yu A. Aspuru‐Guzik 32 147 0 31 Mar 2022
Audacity of huge: overcoming challenges of data scarcity and data quality for machine learning in computational materials discovery Aditya Nandy Chenru Duan Heather J. Kulik AI4CE 17 44 0 02 Nov 2021
Predicting the Efficiency of CO $_2$ Sequestering by Metal Organic Frameworks Through Machine Learning Analysis of Structural and Electronic Properties M. Manda 19 0 0 12 Oct 2021
Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning S. Raschka 75 764 0 13 Nov 2018
Building machines that adapt and compute like brains Brenden Lake J. Tenenbaum AI4CE FedML NAI AILaw 254 890 0 11 Nov 2017
Automating biomedical data science through tree-based pipeline optimization Randal S. Olson Ryan J. Urbanowicz Peter C. Andrews Nicole A. Lavender L. C. Kidd J. Moore AI4CE 31 311 0 28 Jan 2016