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Chen Song

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Heidelberg Institute for Theoretical Studies

Germany

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Recent Grants

Grant: Close

Verbundprojekt: OpenSCALING - Open standards for SCALable virtual engineerING and operation

Open Date: 2023-11-01

Close Date: 2026-10-31

Grant: Close

Khunjerab: Bridging Applications and Future Emerging Memory for Different Performance-Power-Reliability Trade-Offs

Open Date: 2021-01-01

Close Date:

Grant: Close

Verbundprojekt: KEEN - KI-Inkubator-Labore in der Prozessindustrie Teilvorhaben: KI-Basierte Überwachung und Optimierung von chemischen Produktionsprozessen

Open Date: 2020-04-01

Close Date: 2023-09-30

Articles (20)

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2023

Collaborators (5)

Michael Menden

University of Melbourne

AUSTRALIA

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Oveis Pourmehran

Senior Research Fellow and Lecturer

University of South Australia

AUSTRALIA

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Lei Si

University of Houston

UNITED STATES

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Otmar Schmid

Group Leader

Helmholtz Zentrum München Deutsches Forschungszentrum für Umwelt und Gesundheit

GERMANY

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Sombel DIAHAM

Associate Professor

Université Paul Sabatier

FRANCE

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ApplyKite TwinLearns as you apply

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Chen Song

Research Interests

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Recent Grants

Articles (20)

Physics-Informed Neural Network with Adaptive Loss Weighting for Parameterized Surface Potential Prediction on Polymeric Dielectric Interfaces

Accelerating Thermal Response: Physics-Informed Neural Networks for Enhanced Noninvasive Sensing in Low-Conductivity Pipes

A parameterized learning method based on data-driven and physical constraints for solving the fluid model of low-temperature plasma

Signal Extraction and Clustering of Partial Discharge in Motor Insulation Using Temporal Correlation‐Based Clustering

Hybrid soft sensor modeling for the wire section in tissue manufacturing: integrating first-principles and machine learning models

LS-SA: Developing an FMI layered standard for holistic & efficient sensitivity analysis of FMUs

CRADLE: Cross-Vendor Asset Digital Twin Architecture using Industrial Interoperability Standards with Application to Paper Manufacturing

Leveraging Large Language Models for Robust Maintenance Rule Extraction in Industrial Settings

Decarbonisation in the paper industry

Intelligent Monitoring Technology of Partial Discharge Based on an Integrated Sensing–Memory–Computation System

Sustainability Management In Fibre-Based Web Production: Tracking & Optimising CO2 Emissions with Digital Twin and Data Ecosystem

Empowering IoT-based electrostatic sensing network with measurement and controlling strategies: From space-air-ground perspective

Open Reference Architecture for Sustainable Papermaking based on Industrial Interoperability Standards and Cloud-Native Technologies

Numerical investigation on the convergence of self-consistent Schrödinger-Poisson equations in semiconductor device transport simulation

Jiezi: an open-source Python software for simulating quantum transport based on non-equilibrium Green's function formalism

Random telegraph noise characteristic of nonvolatile resistive random access memories based on optical interference principle

IoT-based green-smart photovoltaic system under extreme climatic conditions for sustainable energy development

Machine Learning with Physics Knowledge for Prediction: A Survey

Optimal hourly scheduling of all-electric mine operations considering renewable energy integration

Numerical and Machine Learning Analysis of the Parameters Affecting the Regionally Delivered Nasal Dose of Nano- and Micro-Sized Aerosolized Drugs

Collaborators (5)

Michael Menden

Oveis Pourmehran

Lei Si

Otmar Schmid

Sombel DIAHAM

Make your next move.

Chen Song

Research Interests

Make your next move.

Explore related searches

Recent Grants

Articles (20)

Physics-Informed Neural Network with Adaptive Loss Weighting for Parameterized Surface Potential Prediction on Polymeric Dielectric Interfaces

Accelerating Thermal Response: Physics-Informed Neural Networks for Enhanced Noninvasive Sensing in Low-Conductivity Pipes

A parameterized learning method based on data-driven and physical constraints for solving the fluid model of low-temperature plasma

Signal Extraction and Clustering of Partial Discharge in Motor Insulation Using Temporal Correlation‐Based Clustering

Hybrid soft sensor modeling for the wire section in tissue manufacturing: integrating first-principles and machine learning models

LS-SA: Developing an FMI layered standard for holistic &amp; efficient sensitivity analysis of FMUs

CRADLE: Cross-Vendor Asset Digital Twin Architecture using Industrial Interoperability Standards with Application to Paper Manufacturing

Leveraging Large Language Models for Robust Maintenance Rule Extraction in Industrial Settings

Decarbonisation in the paper industry

Intelligent Monitoring Technology of Partial Discharge Based on an Integrated Sensing–Memory–Computation System

Sustainability Management In Fibre-Based Web Production: Tracking &amp; Optimising CO2 Emissions with Digital Twin and Data Ecosystem

Empowering IoT-based electrostatic sensing network with measurement and controlling strategies: From space-air-ground perspective

Open Reference Architecture for Sustainable Papermaking based on Industrial Interoperability Standards and Cloud-Native Technologies

Numerical investigation on the convergence of self-consistent Schrödinger-Poisson equations in semiconductor device transport simulation

Jiezi: an open-source Python software for simulating quantum transport based on non-equilibrium Green's function formalism

Random telegraph noise characteristic of nonvolatile resistive random access memories based on optical interference principle

IoT-based green-smart photovoltaic system under extreme climatic conditions for sustainable energy development

Machine Learning with Physics Knowledge for Prediction: A Survey

Optimal hourly scheduling of all-electric mine operations considering renewable energy integration

Numerical and Machine Learning Analysis of the Parameters Affecting the Regionally Delivered Nasal Dose of Nano- and Micro-Sized Aerosolized Drugs

Collaborators (5)

Michael Menden

Oveis Pourmehran

Lei Si

Otmar Schmid

Sombel DIAHAM

Make your next move.

LS-SA: Developing an FMI layered standard for holistic & efficient sensitivity analysis of FMUs

Sustainability Management In Fibre-Based Web Production: Tracking & Optimising CO2 Emissions with Digital Twin and Data Ecosystem