57 citations · 166 across the 11 of their papers we have counts for
11 papers
Real space iterative reconstruction for vector tomography (RESIRE-V)
Minh Pham, Xingyuan Lu, Arjun Rana +2
Tomography has had an important impact on the physical, biological, and medical sciences. To date, most tomographic applications have been focused on 3D scalar reconstructions. How…
Computational Microscopy beyond Perfect Lenses
Xingyuan Lu, Minh Pham, Elisa Negrini +3
We demonstrate that in situ coherent diffractive imaging (CDI), which harnesses the coherent interference between a strong and a weak beam illuminating a static and dynamic structu…
Direct observation of 3D topological spin textures and their interactions using soft x-ray vector ptychography
Arjun Rana, Chen-Ting Liao, Ezio Iacocca +21
Magnetic topological defects are energetically stable spin configurations characterized by symmetry breaking. Vortices and skyrmions are two well-known examples of 2D spin textures…
Direct observation of 3D atomic packing in monatomic amorphous materials
Yakun Yuan, Dennis S. Kim, Jihan Zhou +10
Liquids and solids are two fundamental states of matter. However, due to the lack of direct experimental determination, our understanding of the 3D atomic structure of liquids and…
RESIRE: real space iterative reconstruction engine for Tomography
Minh Pham, Yakun Yuan, Arjun Rana +2
Tomography has made a revolutionary impact on diverse fields, ranging from macro-/mesoscopic scale studies in biology, radiology, plasma physics to the characterization of 3D atomi…
Determining the three-dimensional atomic structure of a metallic glass
Yao Yang, Jihan Zhou, Fan Zhu +12
Amorphous solids such as glass are ubiquitous in our daily life and have found broad applications ranging from window glass and solar cells to telecommunications and transformer co…
Potential of attosecond coherent diffractive imaging
Arjun Rana, Jianhua Zhang, Minh Pham +5
Attosecond science has been transforming our understanding of electron dynamics in atoms, molecules and solids. However, to date almost all of the attoscience experiments have been…
A semi-implicit relaxed Douglas-Rachford algorithm (sir-DR) for Ptychograhpy
Minh Pham, Arjun Rana, Jianwei Miao +1
Alternating projection based methods, such as ePIE and rPIE, have been used widely in ptychography. However, they only work well if there are adequate measurements (diffraction pat…
Laplacian Smoothing Gradient Descent
Stanley Osher, Bao Wang, Penghang Yin +4
We propose a class of very simple modifications of gradient descent and stochastic gradient descent. We show that when applied to a large variety of machine learning problems, rang…
Generalized Proximal Smoothing for Phase Retrieval
Minh Pham, Penghang Yin, Arjun Rana +2
In this paper, we report the development of the generalized proximal smoothing (GPS) algorithm for phase retrieval of noisy data. GPS is a optimization-based algorithm, in which we…
Stochastic Backward Euler: An Implicit Gradient Descent Algorithm for -means Clustering
Penghang Yin, Minh Pham, Adam Oberman +1
In this paper, we propose an implicit gradient descent algorithm for the classic -means problem. The implicit gradient step or backward Euler is solved via stochastic fixed-poin…