Most of our work has resulted in scholarly publications. On this page you can review our publications to get an idea about our work.
Datasets supporting "Quench of chiral superconductivity by quantum phase fluctuations in twisted cuprate bilayers" and "Collective phase modes in twisted d-wave superconducting bilayers"
September, 2026 • Dataset
Shi, Yin
These are the raw datasets that correspond to all phase diagrams and two-dimensional maps of physical quantities in the articles “Quench of chiral superconductivity by quantum phase fluctuations…
These are the raw datasets that correspond to all phase diagrams and two-dimensional maps of physical quantities in the articles “Quench of chiral superconductivity by quantum phase fluctuations in twisted cuprate bilayers” and "Collective phase modes in twisted d-wave superconducting bilayers." They are generated by computer simulations decribed in those articles. The datasets are in HDF5 format, which includes attributes that make them self-explanatory.
Mascope is a platform for analysing and storing high-resolution mass spectrometry data: import instrument files, process, run targeted matching, and explore results in a web application or from Python…
Mascope is a platform for analysing and storing high-resolution mass spectrometry data: import instrument files, process, run targeted matching, and explore results in a web application or from Python.
Code, trained PINN models and derived results for: Air Purifier Performance in an Occupied Office: Field CADR and Effectiveness from a Reconstructed Device-Off Condition
Training code, analysis code, trained physics-informed neural network (PINN) weights for thirty paired CO2 and PM2.5 networks, fitted input scalers, the member list and per-member accuracy, derived pe…
Training code, analysis code, trained physics-informed neural network (PINN) weights for thirty paired CO2 and PM2.5 networks, fitted input scalers, the member list and per-member accuracy, derived per-state results, the synthetic parameter-recovery experiments for both networks, the networks of the structural and humidity sensitivity tests, and the underlying field measurements for the counterfactual evaluation of a portable air purifier in an occupied office. The deposit reproduces the reported air change rate, particle penetration factor, removal rate, field CADR and effectiveness results of the second revision of the manuscript (Building and Environment, under review, BAE-D-26-05957). Version 3 replaces the ensemble of the first revision with thirty network pairs with softplus outputs, all of which are used, corrects the room volume to 71.25 m3 and the temperature input of the PM2.5 networks, and adds synthetic PM2.5 recovery tests, a structured removal-rate variant and a humidity sensitivity test. The weights of the first-revision networks remain in version 2. See README.md for the layout, the archives and the scripts.
physics-informed neural networkclean air delivery rateportable air purifierindoor air qualitycounterfactual analysis
The Mediterranean Region faces critical challenges from warming, prolonged heatwaves, increased drought, and flooding risks. Up to 32% of its areas could suffer biodiversity and ecosystem service degr…
The Mediterranean Region faces critical challenges from warming, prolonged heatwaves, increased drought, and flooding risks. Up to 32% of its areas could suffer biodiversity and ecosystem service degradation under global warming of 1.5°C 2°C. Nature-Based Solutions (NBS), also known as Natural Water Retention Measures (NWRM), are key strategies to enhance climate resilience, addressing both adaptation and mitigation while offering co-benefits for societal challenges. The Alcantara catchment in Sicily, Italy, is an area of significant environmental and landscape value, hosting diverse species and 11 Special Areas of Conservation (SAC). This study outlines the ecological restoration idea and design in two ha). In collaboration with the University of Catania, a system of small wetlands support habitats of Mediterranean rivers and temporary ponds. Native vegetationsuch as Tamarix africana, T. gallica, Nerium oleander, Salix purpurea, and S. gussonei were used to restore fluvial terraces and marshes. Remote sensing techniques will monitor pond ecosystem dynamics, and flood risk reduction will be evaluated using hydrological-hydraulic models at the catchment scale. The enhancement of some ecosystem services provided by theNWRM implemented in the Alcantara river, among which are water quality improvement, hydrological regime regulation, habitat deterioration prevention, and biodiversity recovery support, will be assessed. These wetlands could enhance water quality, regulate hydrological regimes, prevent habitat deterioration, and support biodiversity recovery, serving as nesting sites for migratory birds.
WETLAND RESTORATIONnatural water retention measurebiodiversitybiodiversity preservationclimatic resilience
Singularity image(s) of gotree software to be used and installed with damona
(See https://damona.readthedocs.org) for reproducible bioinformatics
analysis.
Trained nnU-Net weights for dendrite segmentation from SBF-SEM images, part of the dendrite-3d-instance-seg pipeline. For training details, usage instructions, and code, please see https://github…
Trained nnU-Net weights for dendrite segmentation from SBF-SEM images, part of the dendrite-3d-instance-seg pipeline. For training details, usage instructions, and code, please see https://github.com/ZE-WEN/dendrite-3d-instance-seg/tree/main/training/nnunet
If you use these weights, please cite our work "A Fully Automatic Pipeline for 3D Dendrite Instance Segmentation in SBF-SEM"
Trained YOLOv6-L weights for 2D dendrite detection in SBF-SEM slices, part of the dendrite-3d-instance-seg pipeline. For training details, usage instructions, and code, please see https://github.com/Z…
Trained YOLOv6-L weights for 2D dendrite detection in SBF-SEM slices, part of the dendrite-3d-instance-seg pipeline. For training details, usage instructions, and code, please see https://github.com/ZE-WEN/dendrite-3d-instance-seg/tree/main/training/yolov6If you use this model, please cite our work "A Fully Automatic Pipeline for 3D Dendrite Instance Segmentation in SBF-SEM"
There is an increasing interest in upgrading the EModel, a parametric tool for speech quality estimation, to the wideband and super-wideband contexts. The
Contemporary models of Unmanned Aerial Vehicles (UAVs) are largely developed using simulators. In a typical scheme, a flight simulator is dovetailed with a
Undertaking engineering research can be compounding for beginning graduate students and thwarting even for seasoned researchers. With a wealth of academic
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