Cheetah : software for high-throughput reduction and analysis of serial femtosecond X-ray diffraction data
|
journal
|
May 2014 |
Automated and Autonomous Experiments in Electron and Scanning Probe Microscopy
|
journal
|
July 2021 |
Supervised Machine-Learning-Based Determination of Three-Dimensional Structure of Metallic Nanoparticles
|
journal
|
October 2017 |
Solar fuels photoanode materials discovery by integrating high-throughput theory and experiment
|
journal
|
March 2017 |
Three-dimensional femtosecond snapshots of isolated faceted nanostructures
|
journal
|
February 2023 |
Chain Redistribution Stabilizes Coexistence Phases in Block Copolymer Blends
|
journal
|
September 2022 |
Unsupervised classification of single-particle X-ray diffraction snapshots by spectral clustering
|
journal
|
January 2011 |
How To Optimize Materials and Devices via Design of Experiments and Machine Learning: Demonstration Using Organic Photovoltaics
|
journal
|
July 2018 |
On-the-fly machine-learning for high-throughput experiments: search for rare-earth-free permanent magnets
|
journal
|
September 2014 |
On the Opportunities and Risks of Foundation Models
|
preprint
|
January 2021 |
Controlling an organic synthesis robot with machine learning to search for new reactivity
|
journal
|
July 2018 |
Perspective: Codesign for materials science: An optimal learning approach
|
journal
|
April 2016 |
Generating thickness gradients of thin polymer films via flow coating
|
journal
|
February 2006 |
Directed self-assembly of block copolymers: a tutorial review of strategies for enabling nanotechnology with soft matter
|
journal
|
January 2014 |
Progress of in situ synchrotron X-ray diffraction studies on the mechanical behavior of materials at small scales
|
journal
|
May 2018 |
A machine learning photon detection algorithm for coherent x-ray ultrafast fluctuation analysis
|
journal
|
September 2022 |
Versatile platform for creating gradient combinatorial libraries via modulated light exposure
|
journal
|
July 2007 |
Off-the-shelf deep learning is not enough, and requires parsimony, Bayesianity, and causality
|
journal
|
January 2021 |
Accelerated search for BaTiO 3 -based piezoelectrics with vertical morphotropic phase boundary using Bayesian learning
|
journal
|
November 2016 |
An automated system to mount cryo-cooled protein crystals on a synchrotron beamline, using compact sample cassettes and a small-scale robot
|
journal
|
November 2002 |
Rapid ordering of block copolymer thin films
|
journal
|
August 2016 |
Synchrotron X-ray techniques for the investigation of structures and dynamics in interfacial systems
|
journal
|
June 2014 |
Autonomous discovery of emergent morphologies in directed self-assembly of block copolymer blends
|
journal
|
January 2023 |
Combinatorial and High-Throughput Materials Science
|
journal
|
August 2007 |
A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play
|
journal
|
December 2018 |
Electrospray deposition tool: Creating compositionally gradient libraries of nanomaterials
|
journal
|
January 2020 |
Materials discovery and design using machine learning
|
journal
|
September 2017 |
Machine-learning for designing nanoarchitectured materials by dealloying
|
journal
|
November 2022 |
Autonomous materials discovery driven by Gaussian process regression with inhomogeneous measurement noise and anisotropic kernels
|
journal
|
October 2020 |
Three-dimensional coherent X-ray diffraction imaging via deep convolutional neural networks
|
journal
|
October 2021 |
Small-angle X-ray and neutron scattering
|
journal
|
October 2021 |
Instrumentation for In situ/Operando X-ray Scattering Studies of Polymer Additive Manufacturing Processes
|
journal
|
March 2019 |
Creating Controlled Thickness Gradients in Polymer Thin Films via Flowcoating
|
journal
|
May 2014 |
Machine learning-driven new material discovery
|
journal
|
January 2020 |
Unsupervised real-world knowledge extraction via disentangled variational autoencoders for photon diagnostics
|
journal
|
December 2022 |
In-Operando Tracking and Prediction of Transition in Material System using LSTM
|
conference
|
January 2018 |
Hierarchical Text-Conditional Image Generation with CLIP Latents
|
preprint
|
January 2022 |
Beyond native block copolymer morphologies
|
journal
|
January 2017 |
Combinatorial Materials Science: What's New Since Edison?
|
journal
|
April 2002 |
Hummingbird : monitoring and analyzing flash X-ray imaging experiments in real time
|
journal
|
April 2016 |
Periodic lattices of arbitrary nano-objects: modeling and applications for self-assembled systems
|
journal
|
December 2013 |
High-Throughput Measurement of Polymer Blend Phase Behavior
|
journal
|
August 2000 |
Artificial intelligence for online characterization of ultrashort X-ray free-electron laser pulses
|
journal
|
October 2022 |
Condor : a simulation tool for flash X-ray imaging
|
journal
|
July 2016 |
Active learning in open experimental environments: selecting the right information channel(s) based on predictability in deep kernel learning
|
preprint
|
January 2022 |
Co-design Center for Exascale Machine Learning Technologies (ExaLearn)
|
journal
|
September 2021 |
Reproducible, High-Throughput Synthesis of Colloidal Nanocrystals for Optimization in Multidimensional Parameter Space
|
journal
|
May 2010 |
Machine Learning for analysis of speckle dynamics: quantification and outlier detection
|
journal
|
September 2022 |
Gaussian processes for autonomous data acquisition at large-scale synchrotron and neutron facilities
|
journal
|
July 2021 |
Hydrogen Storage Materials Discovery via High Throughput Ball Milling and Gas Sorption
|
journal
|
May 2012 |
Deep neural networks in real-time coherent diffraction imaging
|
journal
|
January 2021 |
Classifying and analyzing small-angle scattering data using weighted k nearest neighbors machine learning techniques
|
journal
|
February 2020 |
Highly coherent and stable pulses from the FERMI seeded free-electron laser in the extreme ultraviolet
|
journal
|
September 2012 |
Future trends in synchrotron science at NSLS-II
|
journal
|
June 2020 |
Metrics of graininess: robust quantification of grain count from the non-uniformity of scattering rings
|
journal
|
October 2014 |
Statistical inference and adaptive design for materials discovery
|
journal
|
June 2017 |
Unsupervised learning approaches to characterizing heterogeneous samples using X-ray single-particle imaging
|
journal
|
January 2022 |
Discovery of Wall-Selective Carbon Nanotube Growth Conditions via Automated Experimentation
|
journal
|
October 2014 |
Adaptive 3D convolutional neural network-based reconstruction method for 3D coherent diffraction imaging
|
journal
|
November 2020 |
A survey on Image Data Augmentation for Deep Learning
|
journal
|
July 2019 |
Integrated software for macromolecular crystallography synchrotron beamlines II: revision, robots and a database
|
journal
|
October 2006 |
HipGISAXS : a high-performance computing code for simulating grazing-incidence X-ray scattering data
|
journal
|
November 2013 |
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
|
preprint
|
January 2020 |
Linac Coherent Light Source: The first five years
|
journal
|
March 2016 |
Functional genomic hypothesis generation and experimentation by a robot scientist
|
journal
|
January 2004 |
Mantid—Data analysis and visualization package for neutron scattering and SR experiments
- Arnold, O.; Bilheux, J. C.; Borreguero, J. M.
-
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 764
https://doi.org/10.1016/j.nima.2014.07.029
|
journal
|
November 2014 |
Film Thickness and Composition Effects in Symmetric Ternary Block Copolymer/Homopolymer Blend Films: Domain Spacing and Orientation
|
journal
|
August 2021 |
Combinatorial Mapping of Surface Energy Effects on Diblock Copolymer Thin Film Ordering
|
journal
|
January 2003 |
Multifunctional ToF-SIMS: combinatorial mapping of gradient energy substrates
|
journal
|
November 2002 |
A Kriging-Based Approach to Autonomous Experimentation with Applications to X-Ray Scattering
|
journal
|
August 2019 |
Deep neural networks for classifying complex features in diffraction images
|
journal
|
June 2019 |
Using exploratory factor analysis to examine consecutive in-situ X-ray diffraction measurements
|
journal
|
November 2015 |
Autonomous experimentation systems for materials development: A community perspective
|
journal
|
September 2021 |
Self-Assembled Phases of Block Copolymer Blend Thin Films
|
journal
|
October 2014 |
Neural network analysis of neutron and x-ray reflectivity data: pathological cases, performance and perspectives
|
journal
|
July 2021 |
Neural network analysis of neutron and X-ray reflectivity data: automated analysis using mlreflect, experimental errors and feature engineering
|
journal
|
April 2022 |
Experiments at FLASH
- Bostedt, Christoph; Chapman, Henry N.; Costello, John T.
-
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 601, Issue 1-2
https://doi.org/10.1016/j.nima.2008.12.202
|
journal
|
March 2009 |
BioSAXS at European Synchrotron Radiation Facility – Extremely Brilliant Source: BM29 with an upgraded source, detector, robot, sample environment, data collection and analysis software
|
journal
|
January 2023 |
Discovery of new materials using combinatorial synthesis and high-throughput characterization of thin-film materials libraries combined with computational methods
|
journal
|
July 2019 |
Crystallography companion agent for high-throughput materials discovery
|
journal
|
April 2021 |
Advanced stationary and nonstationary kernel designs for domain-aware Gaussian processes
|
journal
|
October 2022 |
Benchmarking Autonomous Scattering Experiments Illustrated on TAS
|
journal
|
February 2022 |
Block Copolymer Thin Films: Physics and Applications
|
journal
|
August 2001 |
Combinatorial Methods for Investigations in Polymer Materials Science
|
journal
|
April 2002 |
Optimal experimental design for materials discovery
|
journal
|
March 2017 |
Random forest machine learning models for interpretable X-ray absorption near-edge structure spectrum-property relationships
|
journal
|
July 2020 |
Understanding X-ray absorption spectra by means of descriptors and machine learning algorithms
|
journal
|
December 2021 |
Physics makes the difference: Bayesian optimization and active learning via augmented Gaussian process
|
journal
|
February 2022 |
Interactive Visual Study of Multiple Attributes Learning Model of X-Ray Scattering Images
|
journal
|
February 2021 |
High-throughput characterization of pattern formation in symmetric diblock copolymer films
|
journal
|
January 2001 |
Macroscopic Alignment of Block Copolymers on Silicon Substrates by Laser Annealing
|
journal
|
March 2020 |
Accelerated discovery of metallic glasses through iteration of machine learning and high-throughput experiments
|
journal
|
April 2018 |
Advanced grazing-incidence techniques for modern soft-matter materials analysis
|
journal
|
January 2015 |
Dendrimer Ligand Directed Nanoplate Assembly
|
journal
|
November 2019 |
Millisecond Ordering of Block Copolymer Films via Photothermal Gradients
|
journal
|
February 2015 |
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference
|
conference
|
June 2022 |
Scanning structural mapping at the Life Science X-ray Scattering Beamline
|
journal
|
January 2022 |
Accelerating materials property predictions using machine learning
|
journal
|
September 2013 |
Model-free classification of X-ray scattering signals applied to image segmentation
|
journal
|
September 2018 |
Photothermally Directed Assembly of Block Copolymers
|
journal
|
December 2019 |
The life science x-ray scattering beamline at NSLS-II
- DiFabio, Jonathan; Chodankar, Shirish; Pjerov, Sal
-
PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON SYNCHROTRON RADIATION INSTRUMENTATION – SRI2015, AIP Conference Proceedings
https://doi.org/10.1063/1.4952872
|
conference
|
January 2016 |
Combinatorial Materials Sciences: Experimental Strategies for Accelerated Knowledge Discovery
|
journal
|
August 2008 |
MultiSciView: Multivariate Scientific X-ray Image Visual Exploration with Cross-Data Space Views
|
journal
|
March 2018 |
Combinatorial Materials Science for Polymer Thin-Film Dewetting
|
journal
|
December 2000 |
Dragonfly : an implementation of the expand–maximize–compress algorithm for single-particle imaging
|
journal
|
June 2016 |
Transductive Decoupled Variational Inference for Few-Shot Classification
|
preprint
|
January 2022 |
Photon Beam Transport and Scientific Instruments at the European XFEL
|
journal
|
June 2017 |
Deep learning for visualization and novelty detection in large X-ray diffraction datasets
|
journal
|
July 2021 |
Principal Component Analysis (PCA) for Powder Diffraction Data: Towards Unblinded Applications
|
journal
|
July 2020 |
Fast fitting of reflectivity data of growing thin films using neural networks
|
journal
|
November 2019 |
Recent applications of synchrotron radiation and neutrons in the study of soft matter
|
journal
|
February 2017 |
Accelerating materials discovery using artificial intelligence, high performance computing and robotics
|
journal
|
April 2022 |
Artificial intelligence for materials discovery
|
journal
|
July 2019 |
Small Angle X-ray Scattering for Nanoparticle Research
|
journal
|
April 2016 |
Small-angle scattering in materials science - a short review of applications in alloys, ceramics and composite materials
|
journal
|
April 2003 |
Combinatorial and High-Throughput Screening of Materials Libraries: Review of State of the Art
|
journal
|
August 2011 |
Advances in Kriging-Based Autonomous X-Ray Scattering Experiments
|
journal
|
January 2020 |
No free lunch theorems for optimization
|
journal
|
April 1997 |
BornAgain : software for simulating and fitting grazing-incidence small-angle scattering
|
journal
|
February 2020 |
Exact Gaussian processes for massive datasets via non-stationary sparsity-discovering kernels
|
journal
|
March 2023 |
High-Resolution Image Synthesis with Latent Diffusion Models
|
conference
|
June 2022 |
Dota 2 with Large Scale Deep Reinforcement Learning
|
preprint
|
January 2019 |
Machine learning for micro-tomography
|
conference
|
September 2017 |
Adaptive Strategies for Materials Design using Uncertainties
|
journal
|
January 2016 |
Small-angle scattering of particle assemblies
|
journal
|
July 2015 |
Precise atom manipulation through deep reinforcement learning
|
journal
|
December 2022 |
Machine-learning-assisted materials discovery using failed experiments
|
journal
|
May 2016 |
Selective directed self-assembly of coexisting morphologies using block copolymer blends
|
journal
|
August 2016 |
Sorting algorithms for single-particle imaging experiments at X-ray free-electron lasers
|
journal
|
October 2015 |
Experimental discovery of structure–property relationships in ferroelectric materials via active learning
|
journal
|
April 2022 |