Research graph
References from Machine learning for new material prediction, what’s next?. Local targets link to admitted publications; unresolved targets remain external evidence.
Machine learning for high-throughput experimental exploration of metal halide perovskites
10.1016/j.joule.2021.10.001 · 2021 · External reference
Challenges and opportunities in quantum machine learning
10.1038/s43588-022-00311-3 · 2022 · External reference
Machine learning makes magnificent macromolecules for medicine
10.1016/j.matt.2022.07.008 · 2022 · External reference
Machine learning for molecular and materials science
10.1038/s41586-018-0337-2 · 2018 · External reference
Computational design of magnetic molecules and their environment using quantum chemistry, machine learning and multiscale simulations
10.1038/s41570-022-00424-3 · 2022 · External reference
High-entropy nanoparticles: Synthesis-structure-property relationships and data-driven discovery
10.1126/science.abn3103 · 2022 · External reference
Electronic-structure methods for materials design
10.1038/s41563-021-01013-3 · 2021 · External reference
High-throughput routes to biomaterials discovery
10.1021/acs.chemrev.0c01026 · 2021 · External reference
Computation-guided discovery of coating materials to stabilize the interface between lithium garnet solid electrolyte and high-energy cathodes for all-solid-state lithium batteries
2021 · External reference
Machine learning accelerates quantum mechanics predictions of molecular crystals
10.1016/j.physrep.2021.08.002 · 2021 · External reference
Vision for energy material design: a roadmap for integrated data-driven modeling
10.1016/j.jechem.2022.03.052 · 2022 · External reference
A combined ionic Lewis acid descriptor and machine-learning approach to prediction of efficient oxygen reduction electrodes for ceramic fuel cells
10.1038/s41560-022-01098-3 · 2022 · External reference
Machine learning for high-throughput experimental exploration of metal halide perovskites
10.1016/j.joule.2021.10.001 · 2021 · External reference
Accelerated dinuclear palladium catalyst identification through unsupervised machine learning
10.1126/science.abj0999 · 2021 · External reference
