FY 2018 LDRD Projects

See LDRD Projects by Fiscal Year

FY 2020 FY 2019FY 2018 FY 2017 FY 2016 FY 2015

FY20 Important Dates

  • New project kickoff session
    October 23, 2019
  • Open House
    Late February, 2020
  • FY21 call for proposals
    Q2 2020

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Contacts

Despina Milathianaki
LDRD Program Manager

despina@slac.stanford.edu

 

Elise Poirier
Strategic Planning Coordinator

epoirier@slac.stanford.edu

New LDRD Projects for FY18

Next Generation Power System Operator Training for Smart Grids

Lead Scientist: David Chassin

This project seeks a control theoretic approach to the problem of modeling human behavior when individual human agents are acting as “in-the-loop” control elements in large-scale systems such as interconnected power grids. The goal is to improve system reliability by enhancing grid operator performance when responding to grid contingencies involving renewable energy intermittency, energy storage technologies and demand response resources.

Machine Learning for Data Reduction at LCLS-II: A Path Toward 1 MHz Detection

Lead Scientist: Ryan Coffee

Machine learning (ML) is industry’s most powerful approach to digesting data and we believe it has the potential to maximize the information rate of LCLS-II and the scientific community at large. This project aims at building an interactive framework whereby users leverage their experience to construct data-driven algorithms and ML models for on-board data processing and compression.

Gaussian Process Optimization: Machine Learning for LCLS, LCLS-II, and the FEL Farm of the Future

Lead Scientist: Joe Duris

This project aims to develop a proof-of-principle machine learning optimization algorithm that can eventually form the base for future autonomous operation of LCLS-II. This effort will involve research into machine learning algorithms that can balance exploration vs. exploitation trade-offs, and can incorporate physical knowledge of the XFEL.

Modeling Strong-Field QED at SLAC

Lead Scientist: Frederico Fiuza

This project aims to develop a novel scientific direction on strong-field QED at the intersection of massively parallel computation, photon science, particle physics, plasma physics, and astrophysics that targets the unique scientific opportunities at LCLS-II and FACET-II. In particular, our goal in this project is to leverage the recent advances in QED-PIC algorithms to simulate strong-field QED processes in the collision of highly energetic electrons or gamma photons with high-intensity laser pulses for experimental configurations and parameters attainable at SLAC.

Fresh-Slice Beams at the LCLS-Il

Lead Scientist: Alberto Lutman

The main benefit of the project will be enabling the Fresh-slice scheme at the LCLS-II. The developed tools will serve also as a solid basis for further development of Fresh-slice based schemes, such as multi-stage amplification. Fresh-slice is synergistic with currently funded projects such as XLEAP to produce sub-femtosecond two-color pulses. Tools to analyze the Fresh-slice based beams will aid current and future LCLS I/II users in interpreting the experimental data faster and more reliably.

Studying Bacterial Dehalogenation in Action

Lead Scientist: Ritimukta Sarangi

This project aims to understand how bacterial dehalogenases convert environmentally toxic halogenated organic compounds to innocuous substances and to apply this knowledge to devise a bioremediation strategy for DOE heritage sites contaminated with these toxic substances. In parallel, this project aims to characterize and correlate model compounds capable of performing dehalogenation to better understand the molecular basis for catalysis.

High Rep-Rate Time-Resolved Photochemistry Via Hard X-ray Spectroscopy at SSRL

Lead Scientist: Dimosthenis Sokaras

In this project, we will develop a high-repetition-rate laser-pump/X-ray-probe hard X-ray spectroscopy program at SSRL with a temporal resolution of 75 ps. By developing the capability at a beamline dedicated to high-resolution photon-out spectroscopies, we will establish a world-leading time-resolved beamline for X-ray emission, X-ray absorption and resonant inelastic X-ray scattering spectroscopy.

Developing Impulsive Nuclear and X-ray Scattering to Study the Structural Dynamics of Liquids

Lead Scientist: Tim Van Driel

In this project, we will develop Impulsive Nuclear and X-ray Scattering (INXS) as a technique to study the dynamic properties of liquids at equilibrium and the necessary simulations to analyse them. Through an impulsive Raman excitation of vibrational modes the resulting anisotropic scattering signal can be used to study the intermediate structure factor, S(Q,t).

Optimization and Demonstration of a Parallel-Feed Accelerator Structure for SRF Applications

Lead Scientist: Paul Welander

This is a “discovery” research project aimed at optimizing and demonstrating a parallel-feed accelerator structure for superconducting radio frequency (SRF) applications. This novel approach to SRF acceleration is a potentially disruptive technology – not only does it represent a paradigm shift in how cavities are fabricated and powered, but it also yields much higher gradients and efficiencies compared to state-of-the-art SRF structures.

Development of a High Repetition Rate Soft X-ray Source in Preparation of LCLS-Il Experiments

Lead Scientist: Thomas Wolf

We will study photoinduced dynamics in complex chemical systems at multiple atomic sites simultaneously by developing a high repetition rate ultrafast broadband soft X-ray source for transient absorption studies. These experiments aim to understand and control photo-physical processes from attosecond electron dynamics to photocatalysis.

All Active Projects for FY18

Lead Investigator Project Title
Development of Combined XAFS/FTIR In Situ Cell For Insight Into Catalyst Function
Stimulated X-ray Emission Spectroscopy – A Powerful New Tool to Study Transition Metal Centers at XFELs
Charged Particle Beam Manipulation Using CEP-Stable Coherently Combined Discretely Polarized Laser Pulses
Next Generation Power System Operator Training for Smart Grids
Machine Learning for Data Reduction at LCLS-II: A Path Toward 1 MHz Detection
Gaussian Process Optimization: Machine Learning for LCLS, LCLS-II, and the FEL Farm of the Future
Modeling Strong-Field QED at SLAC
Emergent Spintronics in Complex Oxide Heterostructures
A Radio for Hidden Photon Dark Matter
Lead-Free Perovskites As Solar-Cell Absorbers
Multi-dimensional Interconnects
Fresh-Slice Beams at the LCLS-Il
Studying Bacterial Dehalogenation in Action
High Rep-Rate Time-Resolved Photochemistry Via Hard X-Ray Spectroscopy at SSRL
Accelerating Nanocrystal Synthetic Development
Developing Impulsive Nuclear and X-ray Scattering to Study the Structural Dynamics of Liquids
Optimization and Demonstration of a Parallel-Feed Accelerator Structure for SRF Applications
Development of a High Repetition Rate Soft X-ray Source in Preparation of LCLS-Il Experiments

See LDRD Projects by Fiscal Year

FY 2020 FY 2019FY 2018 FY 2017 FY 2016 FY 2015