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Research data for "Crystal structure identification with 3D convolutional neural networks with application to high-pressure phase transitions in SiO2"
This dataset supports the paper "Crystal structure identification with 3D convolutional neural networks with
application to high-pressure phase transitions in SiO2".
The following files are provided:
-The training database for the simple (artificial and MD) and the SiO2 structures
--> The training data is provided in two different formats. In the "simple_training_dump" and "SiO2_training_dump" files, the dump files from the MD trajectories are provided. In the "simple_training_extracted" and "SiO2_training_extracted" files 1,000,000 extracted atomic environments in a numpy format are stored.
-The holdout dataset for the simple structures
-The snapshots of the SiO2 shock simulatio
Heat Exchanger SWEP B120THx172/1P-SC-S
Data set of the heat exchanger SWEP B120THx172/1P-SC-S in the ETA Research Factory supply system.
Interview Transcripts: Driving Corporate Sustainability Through Artificial Intelligence
Bei diesem Datensatz handelt es sich um eine Sammlung transkribierter Experteninterviews mit Anbietern (AB) und Anwendern (AW) von künstlicher Intelligenz im Kontext der Nachhaltigkeit.BodeNiklas2023ExpertInterviewsAIxSustainability_v
Clustering Evaluation for Crisis Management [Code]
This repository contains the experimental code of the clustering evaluation described in the paper "Information Overload in Crisis Management: Bilingual Evaluation of Embedding Models for Clustering Social Media Posts in Emergencies" by Markus Bayer, Marc-André Kaufhold, and Christian Reuter
Numerical Wetting Benchmarks - Advancing the plicRDF-isoAdvector unstructured Volume-of-Fluid (VOF) method using the parabolic fit curvature model- Jupyter Notebooks, CSV files, Secondary Data, Parameter variation file
The simulation results obtained using parabolic fit curvature model. Jupyter notebooks for post-processing of the wetting benchmark results are present. The post-processing, based on Jupyter notebooks, are not just for OpenFOAM, but for any other simulation software provided the files storing the secondary data (error norms) are organized as described in the README.md file.Secon
Isotachophoresis with oscillating sample zones
Microfluidic isotachophoresis (ITP) is an electrophoretic technique that can be used to co-focus reactants and thereby accelerate chemical reactions. The fluorescence images provided here (fluorescenceImages1.zip to fluorescenceImages3.zip) show the isotachophoretic transport of Alexa fluor 647 carboxylic acid (AF647) and Fluorescein using an oscillating electric field with a DC offset. The two fluorophores are focused in sample zones separated by a spacer. Different amplitudes, frequencies and offsets were applied with a HVS448 6000 D high voltage sequencer (Labsmith). The fluorescence images were obtained with a Nikon Eclipse Ti microscope and an Andor iXon+ 897 EMCCD camera. A 10x Plan Fluor objective (NA = 0.3, Nikon) and a Intensilight C-HGFI mercury fiber illuminator (Nikon) were used. The exposure time was set to 23 ms and the frame rate to 40 fps. More information on the experimental procedure can be found in the paper that will be linked below. The folder contains a description of the amplitude, frequency, DC offset, and spacer concentration that correspond to each image file. The code (code.zip) was used to quantify the spatial overlap of the sample zones separated by 500 µM of spacer
Machine Tool EMAG VLC 100 GT
Data sets of the machine tool EMAG VLC 100 GT of the ETA Research Factory.
Document Structure in Long Document Transformers
This repository contains the code and data for the paper "Document Structure in Long Document Transformers", accepted at EACL 2024. Please see README.md for more information
Supplementary MAXIMA program for Theorem 4.2 in ACOM paper
Supplementary MAXIMA program for Theorem 4.2 in ACOM paper
Sobolev Regularity of Bivariate Isogeometric Finite Element
Spaces in Case of a Geometry Map with Degenerate Corner1.
LLaMA-2 70B Model checkpoints for Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through Self-Correction in Language Models
LLaMA-2 70B Model checkpoints for Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through Self-Correction in Language Models1.