Henry Chan
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Self-assembly of magnetite nanocubes into helical superstructures
G Singh, H Chan, A Baskin, E Gelman, N Repnin, P Král, R Klajn
Science 345 (6201), 1149-1153, 2014
Chiral templating of self-assembling nanostructures by circularly polarized light
J Yeom, B Yeom, H Chan, KW Smith, S Dominguez-Medina, JH Bahng, ...
Nature materials 14 (1), 66-72, 2015
Nanostructured layered cathode for rechargeable Mg-ion batteries
S Tepavcevic, Y Liu, D Zhou, B Lai, J Maser, X Zuo, H Chan, P Král, ...
Acs Nano 9 (8), 8194-8205, 2015
Diffusion and filtration properties of self-assembled gold nanocrystal membranes
J He, XM Lin, H Chan, L Vukovic, P Král, HM Jaeger
Nano letters 11 (6), 2430-2435, 2011
Crude-oil-repellent membranes by atomic layer deposition: oxide interface engineering
HC Yang, Y Xie, H Chan, B Narayanan, L Chen, RZ Waldman, ...
ACS nano 12 (8), 8678-8685, 2018
Self-assembly of nanoparticles into biomimetic capsid-like nanoshells
M Yang, H Chan, G Zhao, JH Bahng, P Zhang, P Král, NA Kotov
Nature chemistry 9 (3), 287-294, 2017
Machine learning coarse grained models for water
H Chan, MJ Cherukara, B Narayanan, TD Loeffler, C Benmore, SK Gray, ...
Nature communications 10 (1), 1-14, 2019
Screening of therapeutic agents for COVID-19 using machine learning and ensemble docking studies
R Batra, H Chan, G Kamath, R Ramprasad, MJ Cherukara, ...
The journal of physical chemistry letters 11 (17), 7058-7065, 2020
Machine learning classical interatomic potentials for molecular dynamics from first-principles training data
H Chan, B Narayanan, MJ Cherukara, FG Sen, K Sasikumar, SK Gray, ...
The Journal of Physical Chemistry C 123 (12), 6941-6957, 2019
Magnetic field-induced self-assembly of iron oxide nanocubes
G Singh, H Chan, T Udayabhaskararao, E Gelman, D Peddis, A Baskin, ...
Faraday discussions 181, 403-421, 2015
Defect Dynamics in 2-D MoS2 Probed by Using Machine Learning, Atomistic Simulations, and High-Resolution Microscopy
TK Patra, F Zhang, DS Schulman, H Chan, MJ Cherukara, M Terrones, ...
ACS nano 12 (8), 8006-8016, 2018
Colloidal nanocube supercrystals stabilized by multipolar coulombic coupling
H Chan, A Demortiere, L Vukovic, P Král, C Petit
ACS nano 6 (5), 4203-4213, 2012
Interfacial localization and voltage-tunable arrays of charged nanoparticles
MK Bera, H Chan, DF Moyano, H Yu, S Tatur, D Amoanu, W Bu, ...
Nano letters 14 (12), 6816-6822, 2014
Machine learning enabled autonomous microstructural characterization in 3D samples
H Chan, M Cherukara, TD Loeffler, B Narayanan, ...
npj Computational Materials 6 (1), 1-9, 2020
Perovskite nickelates as bio-electronic interfaces
HT Zhang, F Zuo, F Li, H Chan, Q Wu, Z Zhang, B Narayanan, ...
Nature communications 10 (1), 1-7, 2019
Ultralong polarization chains induced by ions solvated in confined water monolayers
I Strauss, H Chan, P Kral
Journal of the American Chemical Society 136 (4), 1170-1173, 2014
Rapid 3D nanoscale coherent imaging via physics-aware deep learning
H Chan, YSG Nashed, S Kandel, SO Hruszkewycz, ...
Applied Physics Reviews 8 (2), 021407, 2021
Self-standing nanoparticle membranes and capsules
H Chan, P Král
Nanoscale 3 (4), 1881-1886, 2011
Active learning the potential energy landscape for water clusters from sparse training data
TD Loeffler, TK Patra, H Chan, M Cherukara, SKRS Sankaranarayanan
The Journal of Physical Chemistry C 124 (8), 4907-4916, 2020
Nanoparticles self-assembly within lipid bilayers
H Chan, P Král
Acs Omega 3 (9), 10631-10637, 2018
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Articles 1–20