Human-and machine-centred designs of molecules and materials for sustainability and decarbonization

J Peng, D Schwalbe-Koda, K Akkiraju, T Xie… - Nature Reviews …, 2022 - nature.com
Breakthroughs in molecular and materials discovery require meaningful outliers to be
identified in existing trends. As knowledge accumulates, the inherent bias of human intuition …

Human-and machine-centred designs of molecules and materials for sustainability and decarbonization

J Peng, D Schwalbe-Koda, K Akkiraju… - Nature Reviews …, 2022 - infoscience.epfl.ch
Data-driven approaches based on high-throughput capabilities and machine learning hold
promise in revolutionizing human-centred materials discovery for sustainability and …

Human-and machine-centred designs of molecules and materials for sustainability and decarbonization

J Peng, D Schwalbe-Koda, K Akkiraju… - Nature Reviews …, 2022 - search.proquest.com
Breakthroughs in molecular and materials discovery require meaningful outliers to be
identified in existing trends. As knowledge accumulates, the inherent bias of human intuition …

Human-and machine-centred designs of molecules and materials for sustainability and decarbonization

J Peng, D Schwalbe-Koda, K Akkiraju, T Xie… - Nature Reviews …, 2022 - pure.mpg.de
Breakthroughs in molecular and materials discovery require meaningful outliers to be
identified in existing trends. As knowledge accumulates, the inherent bias of human intuition …

Human-and machine-centred designs of molecules and materials for sustainability and decarbonization

J Peng, D Schwalbe-Koda, K Akkiraju… - Nature Reviews …, 2022 - ui.adsabs.harvard.edu
Breakthroughs in molecular and materials discovery require meaningful outliers to be
identified in existing trends. As knowledge accumulates, the inherent bias of human intuition …

Human-and machine-centred designs of molecules and materials for sustainability and decarbonization

J Peng, D Schwalbe-Koda, K Akkiraju, T Xie… - NATURE REVIEWS …, 2022 - boa.unimib.it
Breakthroughs in molecular and materials discovery require meaningful outliers to be
identified in existing trends. As knowledge accumulates, the inherent bias of human intuition …