Henry Chan
Argonne National Laboratory(US)Center for NanoScience(DE)Center for Nanoscale Materials
Publications by Year
Research Areas
Machine Learning in Materials Science, nanoparticles nucleation surface interactions, Computational Drug Discovery Methods, Advanced Memory and Neural Computing, Theoretical and Computational Physics
Most-Cited Works
- → Self-assembly of magnetite nanocubes into helical superstructures(2014)525 cited
- → Chiral templating of self-assembling nanostructures by circularly polarized light(2014)410 cited
- → Machine learning enabled autonomous microstructural characterization in 3D samples(2020)400 cited
- → Nanostructured Layered Cathode for Rechargeable Mg-Ion Batteries(2015)192 cited
- → Machine learning coarse grained models for water(2019)188 cited
- → Crude-Oil-Repellent Membranes by Atomic Layer Deposition: Oxide Interface Engineering(2018)178 cited
- → Structure of Tetrahymena telomerase reveals previously unknown subunits, functions, and interactions(2015)