Henry Chan
Citata da
Citata da
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
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
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
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
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 coarse grained models for water
H Chan, MJ Cherukara, B Narayanan, TD Loeffler, C Benmore, SK Gray, ...
Nature communications 10 (1), 1-14, 2019
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
Self-standing nanoparticle membranes and capsules
H Chan, P Král
Nanoscale 3 (4), 1881-1886, 2011
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
Ultralong polarization chains induced by ions solvated in confined water monolayers
I Strauss, H Chan, P Král
Journal of the American Chemical Society 136 (4), 1170-1173, 2014
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
Thermomechanical response of self-assembled nanoparticle membranes
Y Wang, H Chan, B Narayanan, SP McBride, SKRS Sankaranarayanan, ...
ACS nano 11 (8), 8026-8033, 2017
Silicene growth through island migration and coalescence
MJ Cherukara, B Narayanan, H Chan, SKRS Sankaranarayanan
Nanoscale 9 (29), 10186-10192, 2017
Nanoparticles self-assembly within lipid bilayers
H Chan, P Král
Acs Omega 3 (9), 10631-10637, 2018
Machine learnt bond order potential to model metal–organic (Co–C) heterostructures
B Narayanan, H Chan, A Kinaci, FG Sen, SK Gray, MKY Chan, ...
Nanoscale 9 (46), 18229-18239, 2017
Three-Dimensional Integrated X-ray Diffraction Imaging of a Native Strain in Multi-Layered WSe2
MJ Cherukara, DS Schulmann, K Sasikumar, AJ Arnold, H Chan, ...
Nano letters 18 (3), 1993-2000, 2018
Il sistema al momento non puň eseguire l'operazione. Riprova piů tardi.
Articoli 1–20