Data-driven algorithms for inverse design of polymers
The ever-increasing demand for novel polymers with superior properties requires a deeper
understanding and exploration of the chemical space. Recently, data-driven approaches to …
understanding and exploration of the chemical space. Recently, data-driven approaches to …
Data-driven algorithms for inverse design of polymers
K Sattari, Y Xie, J Lin - Soft Matter, 2021 - ui.adsabs.harvard.edu
The ever-increasing demand for novel polymers with superior properties requires a deeper
understanding and exploration of the chemical space. The ever-increasing demand for …
understanding and exploration of the chemical space. The ever-increasing demand for …
Data-driven algorithms for inverse design of polymers.
K Sattari, Y Xie, J Lin - Soft Matter, 2021 - europepmc.org
The ever-increasing demand for novel polymers with superior properties requires a deeper
understanding and exploration of the chemical space. Recently, data-driven approaches to …
understanding and exploration of the chemical space. Recently, data-driven approaches to …
Data-driven algorithms for inverse design of polymers
K Sattari, Y Xie, J Lin - Soft matter, 2021 - pubmed.ncbi.nlm.nih.gov
The ever-increasing demand for novel polymers with superior properties requires a deeper
understanding and exploration of the chemical space. Recently, data-driven approaches to …
understanding and exploration of the chemical space. Recently, data-driven approaches to …
Data-driven algorithms for inverse design of polymers
K Sattari, Y Xie, J Lin - Soft Matter, 2021 - par.nsf.gov
The ever-increasing demand for novel polymers with superior properties requires a deeper
understanding and exploration of the chemical space. Recently, data-driven approaches to …
understanding and exploration of the chemical space. Recently, data-driven approaches to …