3-2-1 Contact: Comparing MD simulations with diffuse data
Insights from the first comparisons of MD simulations to diffuse data
Insights from the first comparisons of MD simulations to diffuse data
Converting between ensemble and multiconformer models
What Taylor got done during his rotation.
It is hard to have happy crystals and low background at the same time
Sample preparation for future beamtimes
What to do next about improving macrodomain data quality and processing
Going up a level from data generation to think about the data systems we design and embed
Modeling by learning directly from experimental data
Re-engineer the encoding and infrastructure of structural biology to embrace dynamics
Molecular-dynamics simulations of diffuse scattering
Open Jobs at diffUSE
Data collection at ALS beamline 8.3.1 on June 24, 2025
A trio of ligand-protein structure papers
Calculated diffraction patterns from different models
Lauching a new website for the diffUSE project
Insights from the first comparisons of MD simulations to diffuse data
Using gradient-based optimization to identify the most physically relevant portions of MD trajectories by maximizing agreement with diffuse scattering data.
Insights from the first comparisons of MD simulations to diffuse data
Using gradient-based optimization to identify the most physically relevant portions of MD trajectories by maximizing agreement with diffuse scattering data.
Using gradient-based optimization to identify the most physically relevant portions of MD trajectories by maximizing agreement with diffuse scattering data.
Using gradient-based optimization to identify the most physically relevant portions of MD trajectories by maximizing agreement with diffuse scattering data.
Insights from the first comparisons of MD simulations to diffuse data
Insights from the first comparisons of MD simulations to diffuse data