Deep Learning Coherent Diffractive Imaging

Dillan J. Chang; Colum M. O'Leary; Cong Su; Salman Kahn; Alex Zettl; Jim Ciston; Peter Ercius; Jianwei Miao

Paper details

Research paper

Experimental CharacterizationComputed Raman

Deep Learning Coherent Diffractive Imaging

Dillan J. Chang, Colum M. O'Leary, Cong Su, Salman Kahn et al.

2022·arXiv:2204.08157

Samples

Each sample groups how it was prepared, characterized, and measured. Click a card to expand.

Two 5-nm-thick hexagonal boron nitride flakes with a twisted interface.

1 characterization2 properties1 figure

ExperimentalhBNStudied Material

Monolayer graphene sample used for ptychographic imaging under varying scan overlap.

1 characterization1 figure

ExperimentalCStudied Material

5 nm Au nanoparticle examined by ptychography.

1 characterization1 figure

ExperimentalAuStudied Material

Materials

hexagonal boron nitride

hBN

Studied Material

Also known as

hBNhexagonal boron nitride

studied material

graphene

Studied Material

Why these are connected

Related documents with shared materials, methods, properties, or citations.

Deep Learning Coherent Diffractive Imaging | Matter42 Literature

Properties

Type	Label	Value	Material	Sample	Condition	Source
Resolution	Fourier ring correlation cutoff criterion 0.5	0.71angstrom	hBN	Two 5-nm-thick hexagonal boron nitride flakes with a twisted		—
Resolution	Fourier ring correlation cutoff criterion 0.143	0.53angstrom	hBN	Two 5-nm-thick hexagonal boron nitride flakes with a twisted		—

Properties

Type	Label	Value	Material	Sample	Condition	Source
Resolution	Fourier ring correlation cutoff criterion 0.5	0.71angstrom	hBN	Two 5-nm-thick hexagonal boron nitride flakes with a twisted		—
Resolution	Fourier ring correlation cutoff criterion 0.143	0.53angstrom	hBN	Two 5-nm-thick hexagonal boron nitride flakes with a twisted		—

Properties

Type	Label	Value	Material	Sample	Condition	Source
Resolution	Fourier ring correlation cutoff criterion 0.5	0.71angstrom	hBN	Two 5-nm-thick hexagonal boron nitride flakes with a twisted		—
Resolution	Fourier ring correlation cutoff criterion 0.143	0.53angstrom	hBN	Two 5-nm-thick hexagonal boron nitride flakes with a twisted		—

Properties

Type	Label	Value	Material	Sample	Condition	Source
Resolution	Fourier ring correlation cutoff criterion 0.5	0.71angstrom	hBN	Two 5-nm-thick hexagonal boron nitride flakes with a twisted		—
Resolution	Fourier ring correlation cutoff criterion 0.143	0.53angstrom	hBN	Two 5-nm-thick hexagonal boron nitride flakes with a twisted		—

Deep Learning Coherent Diffractive Imaging

Samples

Two 5-nm-thick hexagonal boron nitride flakes with a twisted interface.

Monolayer graphene sample used for ptychographic imaging under varying scan overlap.

5 nm Au nanoparticle examined by ptychography.

Materials

Why these are connected

Deep Learning Coherent Diffractive Imaging

Samples

Two 5-nm-thick hexagonal boron nitride flakes with a twisted interface.

Monolayer graphene sample used for ptychographic imaging under varying scan overlap.

5 nm Au nanoparticle examined by ptychography.

Materials

Why these are connected

Deep Learning Coherent Diffractive Imaging

Samples

Two 5-nm-thick hexagonal boron nitride flakes with a twisted interface.

Monolayer graphene sample used for ptychographic imaging under varying scan overlap.

5 nm Au nanoparticle examined by ptychography.

Materials

Why these are connected

Deep Learning Coherent Diffractive Imaging

Samples

Two 5-nm-thick hexagonal boron nitride flakes with a twisted interface.

Monolayer graphene sample used for ptychographic imaging under varying scan overlap.

5 nm Au nanoparticle examined by ptychography.

Materials

Why these are connected

Deep Learning Coherent Diffractive Imaging

Samples

Two 5-nm-thick hexagonal boron nitride flakes with a twisted interface.

Monolayer graphene sample used for ptychographic imaging under varying scan overlap.

5 nm Au nanoparticle examined by ptychography.

Materials

Why these are connected

Deep Learning Coherent Diffractive Imaging

Samples

Two 5-nm-thick hexagonal boron nitride flakes with a twisted interface.

Monolayer graphene sample used for ptychographic imaging under varying scan overlap.

5 nm Au nanoparticle examined by ptychography.

Materials

Why these are connected

Deep Learning Coherent Diffractive Imaging

Samples

Two 5-nm-thick hexagonal boron nitride flakes with a twisted interface.

Monolayer graphene sample used for ptychographic imaging under varying scan overlap.

5 nm Au nanoparticle examined by ptychography.

Materials

Why these are connected

Deep Learning Coherent Diffractive Imaging

Samples

Two 5-nm-thick hexagonal boron nitride flakes with a twisted interface.

Monolayer graphene sample used for ptychographic imaging under varying scan overlap.

5 nm Au nanoparticle examined by ptychography.

Materials

Why these are connected

Characterization

Properties

Simulations

Characterization

Properties

Simulations

Characterization

Properties

Simulations

Characterization

Properties

Simulations