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Data for: PerSiVal: deep neural networks for pervasive simulation of an activ...
This dataset contains data needed to reproduce the results of the related publication on neural-network-based real-time prediction of surface deformation of the biceps under... -
Trained Neural Networks on Simulated Data of Groundwater Heat Plume Character...
Inference package for thermal plume prediction (v1.0.0). Contains pre-trained MLP and randomized neural network models, the ba-predict CLI, the CSV data used to train the models... -
Background - Signal-free OH-PLIF patches
This dataset contains a curated database of signal-free background patches extracted from OH-PLIF measurements. These patches correspond to reactant-side image regions... -
QoI - OH structures
This dataset contains a curated database of OH structures extracted from OH-PLIF measurements. The database is utilised for the generation of synthetic, automatically... -
Code, Data and Models for “Transferable DL for in-situ validated LIF segmenta...
This dataset provides the code, trained models, and supporting data needed to reproduce the work presented in Jose et al. 2026 on transferable deep-learning-based OH-LIF... -
Replication and Discussion Data: User study for Copilot for constraint-driven...
Conducted a user study to test the developed copilot, which automates compliance checking and generates design suggestions based on the check results. The user study involved... -
QoI - Ligaments
This dataset consists of a database of ligaments extracted from high-resolution shadowgraphy images in technical sprays. It serves as a subclass for generating synthetic... -
Replication Data for: Improved super-resolution reconstruction of turbulent f...
This repository contains the data and python code to build/train/test the super-resolution model (deep neural network). Three tar.gz files are provided: code: contains the... -
Universal Timber Slab: Disciplinary Surrogate Models
This dataset contains 9 trained surrogate models across all four disciplines predicting the performance of UTS bay elements and a demo Python script. Model Artifacts Each... -
Cassis: An Agentic AI Toolkit for Rhino Grasshopper
Cassis consists of the plugin library Cassis and a transport library for Streamable HTTP-based MCP communication for Rhino Grasshopper. Cassis implements the functionality... -
CARDIO:DE [V1.1.2]
Version information CARDIO:DE 1.1.2 Added community-contributed annotations from Becker et al. Extending CARDIO:DE: Additional annotation guidelines and evaluation of... -
Data for: Machine-learning interatomic potentials achieving CCSD(T) accuracy ...
Data for reproducing the results in the manuscript "Machine-learning interatomic potentials achieving CCSD(T) accuracy for systems with extended covalent networks and van der... -
Replication Data for: "DE-VAE: Revealing Uncertainty in Parametric and Invers...
This is the replication data for our paper "DE-VAE: Revealing Uncertainty in Parametric and Inverse Projections with Variational Autoencoders using Differential Entropy",... -
Data for: Hydrogen diffusion in TiCr2Hx Laves phases: A combined ab initio an...
This dataset supports the development and validation of machine learning interatomic potentials (MLIPs) for modeling hydrogen diffusion in C14 (hexagonal) and C15 (cubic)... -
Data for: Machine learning potentials for hydrogen absorption in TiCr2 Laves ...
This dataset supports the development and validation of machine learning interatomic potentials (MLIPs) for modeling hydrogen absorption in C14 (hexagonal) and C15 (cubic)... -
Kinetic modeling of enzymatic cephalexin synthesis with neural ODEs and surro...
α-Amino ester hydrolases (AEHs) offer a promising route to the stereoselective synthesis of β-lactams such as cephalexin. However, published kinetic studies have encountered... -
Replication Data for: Super-resolution reconstruction of scalar fields from t...
README body { font-family: system-ui, -apple-system, Segoe UI, Roboto, Helvetica, Arial, sans-serif; line-height: 1.5; padding: 1rem; max-width: 900px; margin:... -
Jose et al. MLST 2025 - Code, Data and Models
This dataset hosts the code, data and models needed for replication of the work mentioned in Jose et al. MLST 2025. In the paper, an ablation study is conducted to delineate the... -
Replication Data for: Super-resolution of turbulent velocity fields in two-wa...
The repository contains files required to reproduce the results. The three compressed filed are (i) torch_code, (ii) datasets, and (iii) experiments. Detailed files description... -
Data repository for "Accelerating Spiking Neural Networks on CPUs via Cache-a...
This data repository contains the experiment data and code for the paper "Accelerating Spiking Neural Networks on CPUs via Cache-aware Splitting". The code.zip file contains...
