Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Daniel B. Allan"'
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 69:1698-1707
Tools that standardize and automate experimental data collection are needed for greater confidence in research results. The National Synchrotron Light Source-II (NSLS-II) has generated an open-source Python data acquisition, management, and analysis
Autor:
Daniel Olds, Daniel B. Allan, Thomas A. Caswell, Joshua Lynch, Phillip M. Maffettone, Stuart I. Campbell
Publikováno v:
2021 3rd Annual Workshop on Extreme-scale Experiment-in-the-Loop Computing (XLOOP).
Publikováno v:
Microscopy and Microanalysis. 26:3092-3094
Publikováno v:
Synchrotron Radiation News. 32:19-22
To address the growing scale of data at user facilities, a multi-facility collaboration is developing a collection of Python libraries, which are co-developed but may be used a la carte, to leverag...
Autor:
Yonghua Du, Maksim Rakitin, Daniel B. Allan, Oleg Chubar, Kaleb Swartz, Lutz Wiegart, Robert Nagler, Abigail Giles, Thomas A Caswell, Joshua K Lynch, Paul Moeller
Publikováno v:
Advances in Computational Methods for X-Ray Optics V.
Simulation of beamlines at light sources is an essential part of their design and commissioning. Such simulations can be performed by the Synchrotron Radiation Workshop (SRW) code, which now has a user-friendly, browser- based interface, Sirepo. The
Autor:
Matt McCormick, Stuart I. Campbell, Mark Basham, Kevin G. Yager, Yu-chen Karen Chen-Wiegart, Yijin Liu, Lin Yang, Jianming Bai, Daniel B. Allan, Anatoly I. Frenkel
Publikováno v:
Handbook on Big Data and Machine Learning in the Physical Sciences
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bae2f573bd7027e0d5e4e233df4cb299
https://doi.org/10.1142/9789811204579_0003
https://doi.org/10.1142/9789811204579_0003
Publikováno v:
Journal of Controlled Release. 260:124-133
Diffusion through biological gels is crucial for effective drug delivery using nanoparticles. Here, we demonstrate a new method to measure diffusivity over a large range of length scales – from tens of nanometers to tens of micrometers – using ph
Autor:
Daniel B. Allan, Stuart Wilkins, Daniel Olds, Stuart I. Campbell, Maksim Rakitin, Andi Barbour, Reid Smith
Publikováno v:
Machine Learning: Science and Technology. 2:013001
We describe the current and future plans for using artificial intelligence and machine learning (AI/ML) methods at the National Synchrotron Light Source II (NSLS-II), a scientific user facility at the Brookhaven National Laboratory. We discuss the op
Autor:
Kristy Li, Douglas Benjamin, Ofer Rind, Mizuki Karasawa, Daniel B. Allan, William Strecker-Kellogg
Publikováno v:
EPJ Web of Conferences, Vol 245, p 07054 (2020)
At the SDCC we are deploying a Jupyterhub infrastructure to enable scientists from multiple disciplines to access our diverse compute and storage resources. One major design goal was to avoid rolling out yet another compute backend, but rather to lev
Publikováno v:
Advanced Drug Delivery Reviews. 91:70-91
Particle tracking is a powerful microscopy technique to quantify the motion of individual particles at high spatial and temporal resolution in complex fluids and biological specimens. Particle tracking's applications and impact in drug and gene deliv