4C-multiphysics/4C
Oct 2024 – Mar 2026
18 Months active
Languages Used
C++CMakeMarkdownRSTYAMLBashDataDockerfile
Technical Skills
C++ Template MetaprogrammingCI/CDCMakeCode CleanupCode RefactoringCommunication Protocols
Amadeus Gebauer
PROFILE
Amadeus Gebauer
Over 18 months, this developer advanced the 4C-multiphysics/4C repository by engineering robust simulation and data processing capabilities for multiphysics workflows. They modernized core C++ infrastructure, introducing compile-time tensor algebra, automatic differentiation, and high-performance linear algebra routines. Their work included refactoring build systems with CMake, optimizing CI/CD pipelines, and expanding Python bindings for usability. By implementing features like symmetric Einstein summation, VTU/VTK mesh I/O, and solver backend selection, they improved simulation fidelity and reproducibility. Emphasizing code maintainability, they streamlined documentation, enhanced test automation, and enforced configuration safety, resulting in a scalable, reliable platform for advanced computational mechanics research.
Overall Statistics
Feature vs Bugs
77%Features
Repository Contributions
265Total
Bugs
33
Commits
265
Features
111
Lines of code
72,623
Activity Months18
Your Network
192 peopleShared Repositories
51
Dharini BalachandranMember
Abhiroop SatheeshMember
Alexander HermannMember
Barbara WirthlMember
Benedikt GoderbauerMember
Benno SchoensteinMember
Christoph SchmidtMember
Daniel WolffMember
David RudlstorferMember
Work History
March 2026
8 Commits • 3 Features
Mar 1, 2026March 2026 monthly summary for 4C (Month: 2026-03) — 4C-multiphysics/4C Key features delivered: - Mesh Data Handling Optimization: Implemented lazy conversion of mesh data with refined data structures for mesh elements and properties, enabling faster processing and improved handling of multiple data types. Commit af75b72c60202c31100b10a1aa09013a07f07638. - Test Solver Backend Switches for Performance: Switched test configurations to UMFPACK or MUMPS where appropriate to enhance performance and accuracy across components. Commits include 605929699b9dd5b35671adefd55de8461103a8a2 (UMFPACK), cfafc959236f95fe6b28b865cc0d6ba13d2f5e83 (MUMPS for heart and G&R tests), e7df517c7a78a856d43003f5edaf0d59259995b3 (MUMPS in hdg_weakly_compressible_poiseuille). - 4C Mixture Module Python Bindings: Added Python bindings for the 4C mixture module with safeguards to disable bindings under AddressSanitizer to maintain build stability. Commits bc7f28eeeee74af9d82c1251fa7897b15851b4f2 and 20651ca334e6b0f734a31d0ccbc48508180d7d90. Major bugs fixed: - Nodal Rotation Vector Input Validation: Improved robustness by validating the size of nodal rotation vectors for beam element inputs, preventing mismatches and data intake errors. Commit 2839a0cec0b836e6421e007a3b9f1fcc13c8b627. - Communicator and Singleton Lifecycle Management: Ensure proper cleanup order by finalizing communicators after singletons to prevent resource leaks and ensure clean shutdown of the communication subsystem. Commit 178d48cbe802049139939e9975cda5bb3c913949. Overall impact and accomplishments: - The changes deliver faster and more robust simulations, with improved data processing efficiency, safer resource management, and enhanced usability via Python bindings. Backend solver switches contribute to reduced runtimes and improved numerical stability across test configurations. Build stability is preserved by sanitizer-aware bindings. Technologies/skills demonstrated: - C++ data structures and lazy evaluation, numerical solver backend selection (UMFPACK, MUMPS, SuperLU), input validation, resource lifecycle management, and Python bindings with sanitizer guards.
8 Commits • 3 Features
Mar 1, 2026March 2026 monthly summary for 4C (Month: 2026-03) — 4C-multiphysics/4C Key features delivered: - Mesh Data Handling Optimization: Implemented lazy conversion of mesh data with refined data structures for mesh elements and properties, enabling faster processing and improved handling of multiple data types. Commit af75b72c60202c31100b10a1aa09013a07f07638. - Test Solver Backend Switches for Performance: Switched test configurations to UMFPACK or MUMPS where appropriate to enhance performance and accuracy across components. Commits include 605929699b9dd5b35671adefd55de8461103a8a2 (UMFPACK), cfafc959236f95fe6b28b865cc0d6ba13d2f5e83 (MUMPS for heart and G&R tests), e7df517c7a78a856d43003f5edaf0d59259995b3 (MUMPS in hdg_weakly_compressible_poiseuille). - 4C Mixture Module Python Bindings: Added Python bindings for the 4C mixture module with safeguards to disable bindings under AddressSanitizer to maintain build stability. Commits bc7f28eeeee74af9d82c1251fa7897b15851b4f2 and 20651ca334e6b0f734a31d0ccbc48508180d7d90. Major bugs fixed: - Nodal Rotation Vector Input Validation: Improved robustness by validating the size of nodal rotation vectors for beam element inputs, preventing mismatches and data intake errors. Commit 2839a0cec0b836e6421e007a3b9f1fcc13c8b627. - Communicator and Singleton Lifecycle Management: Ensure proper cleanup order by finalizing communicators after singletons to prevent resource leaks and ensure clean shutdown of the communication subsystem. Commit 178d48cbe802049139939e9975cda5bb3c913949. Overall impact and accomplishments: - The changes deliver faster and more robust simulations, with improved data processing efficiency, safer resource management, and enhanced usability via Python bindings. Backend solver switches contribute to reduced runtimes and improved numerical stability across test configurations. Build stability is preserved by sanitizer-aware bindings. Technologies/skills demonstrated: - C++ data structures and lazy evaluation, numerical solver backend selection (UMFPACK, MUMPS, SuperLU), input validation, resource lifecycle management, and Python bindings with sanitizer guards.
March 2026
February 2026
3 Commits • 1 Features
Feb 1, 2026Month 2026-02 – Key structural dynamics enhancements in 4C. Delivered performance and reliability improvements in the structural dynamics simulation pipeline: migrated solver to UMFPACK for better performance and stability, reduced timesteps for strufem_hex8_eas to accelerate analyses while preserving accuracy, and expanded test coverage by adding result validation tests. These changes deliver faster, more reliable simulations and stronger validation with minimal risk of incorrect outputs. Technologies/skills demonstrated include numerical linear algebra optimization (UMFPACK), algorithm tuning (timestep reduction), and automated testing for result validation, reinforcing quality and business value by shortening analysis cycles and increasing confidence in results.
February 2026
3 Commits • 1 Features
Feb 1, 2026Month 2026-02 – Key structural dynamics enhancements in 4C. Delivered performance and reliability improvements in the structural dynamics simulation pipeline: migrated solver to UMFPACK for better performance and stability, reduced timesteps for strufem_hex8_eas to accelerate analyses while preserving accuracy, and expanded test coverage by adding result validation tests. These changes deliver faster, more reliable simulations and stronger validation with minimal risk of incorrect outputs. Technologies/skills demonstrated include numerical linear algebra optimization (UMFPACK), algorithm tuning (timestep reduction), and automated testing for result validation, reinforcing quality and business value by shortening analysis cycles and increasing confidence in results.
January 2026
6 Commits • 4 Features
Jan 1, 2026In 2026-01, the 4C project focused on modernization, testing efficiency, dependency management, and release readiness. Key work includes deprecating the cardiovascular 0D model and migrating its tests to a new solid framework; enabling custom integration rules for solid elements via the input file; slimming Docker images by deactivating the gmsh dependency; and updating release/versioning to signal readiness for deployment and upcoming features. These changes improve simulation capabilities, reduce runtime footprint, and strengthen maintainability and deployment readiness.
6 Commits • 4 Features
Jan 1, 2026In 2026-01, the 4C project focused on modernization, testing efficiency, dependency management, and release readiness. Key work includes deprecating the cardiovascular 0D model and migrating its tests to a new solid framework; enabling custom integration rules for solid elements via the input file; slimming Docker images by deactivating the gmsh dependency; and updating release/versioning to signal readiness for deployment and upcoming features. These changes improve simulation capabilities, reduce runtime footprint, and strengthen maintainability and deployment readiness.
January 2026
December 2025
21 Commits • 10 Features
Dec 1, 2025December 2025: Key numerical improvements, IO readiness, and reliability enhancements across 4C. Key features delivered: non-symmetric eigen decomposition with eigenvector retrieval; deterministic singleton destruction order; deformation gradient and tensor ops enhancements (const TensorViews, det/inv/trace, complex scaling); VTU/VTK IO and matrix-market utilities with default VTU input on LNM cluster. Major reliability/mobility wins: block-matrix projection in linear solvers; ParameterList survivability through the solver builder; prestretch strategy now accepts a field; progress on MOR with POD in the new structure framework. Business impact: broader problem classes supported, more robust and reproducible solver workflows, improved HPC readiness, and reduced maintenance costs.
December 2025
21 Commits • 10 Features
Dec 1, 2025December 2025: Key numerical improvements, IO readiness, and reliability enhancements across 4C. Key features delivered: non-symmetric eigen decomposition with eigenvector retrieval; deterministic singleton destruction order; deformation gradient and tensor ops enhancements (const TensorViews, det/inv/trace, complex scaling); VTU/VTK IO and matrix-market utilities with default VTU input on LNM cluster. Major reliability/mobility wins: block-matrix projection in linear solvers; ParameterList survivability through the solver builder; prestretch strategy now accepts a field; progress on MOR with POD in the new structure framework. Business impact: broader problem classes supported, more robust and reproducible solver workflows, improved HPC readiness, and reduced maintenance costs.
November 2025
5 Commits • 2 Features
Nov 1, 2025November 2025 performance snapshot for 4C project (4C-multiphysics/4C). Focused on delivering user-facing visualization capabilities, robust testing and CI tooling, and improved documentation to accelerate user adoption and reduce maintenance overhead.
5 Commits • 2 Features
Nov 1, 2025November 2025 performance snapshot for 4C project (4C-multiphysics/4C). Focused on delivering user-facing visualization capabilities, robust testing and CI tooling, and improved documentation to accelerate user adoption and reduce maintenance overhead.
November 2025
October 2025
11 Commits • 4 Features
Oct 1, 2025October 2025: Delivered critical features across the 4C project that enhance simulation fidelity, configuration safety, and pipeline reliability. Highlights include time-aware material evaluation enabled by InterpolatedInputFields and EvaluationContext; safer, clearer IO via YAML proxy types with Prestress input migrated to SymmetricTensor; API modernization for shape functions (std::span) and tensor utilities; and reinforced CI/CD, build/test infrastructure, and repository hygiene (compile-time tracing, clang-18 reports, removal of Paraview and pvpython dependencies, Python-based test post-processing, and doc assets compression).
October 2025
11 Commits • 4 Features
Oct 1, 2025October 2025: Delivered critical features across the 4C project that enhance simulation fidelity, configuration safety, and pipeline reliability. Highlights include time-aware material evaluation enabled by InterpolatedInputFields and EvaluationContext; safer, clearer IO via YAML proxy types with Prestress input migrated to SymmetricTensor; API modernization for shape functions (std::span) and tensor utilities; and reinforced CI/CD, build/test infrastructure, and repository hygiene (compile-time tracing, clang-18 reports, removal of Paraview and pvpython dependencies, Python-based test post-processing, and doc assets compression).
September 2025
30 Commits • 11 Features
Sep 1, 2025September 2025 monthly summary for 4C: Delivered feature enhancements, stability fixes, and release-readiness improvements that improve data fidelity, reproducibility, performance, and business value. Key work spanned IMR I/O enhancements, API usability improvements, stability fixes, and release packaging, with strong emphasis on deterministic behavior, const-correctness, and streamlined deployment for customers.
30 Commits • 11 Features
Sep 1, 2025September 2025 monthly summary for 4C: Delivered feature enhancements, stability fixes, and release-readiness improvements that improve data fidelity, reproducibility, performance, and business value. Key work spanned IMR I/O enhancements, API usability improvements, stability fixes, and release packaging, with strong emphasis on deterministic behavior, const-correctness, and streamlined deployment for customers.
September 2025
August 2025
16 Commits • 7 Features
Aug 1, 2025August 2025: Delivered core mathematical enhancements, broadened data interoperability, and strengthened CI and build processes for 4C, enabling more efficient tensor operations, simpler solid mechanics, and more reliable deployments.
August 2025
16 Commits • 7 Features
Aug 1, 2025August 2025: Delivered core mathematical enhancements, broadened data interoperability, and strengthened CI and build processes for 4C, enabling more efficient tensor operations, simpler solid mechanics, and more reliable deployments.
July 2025
6 Commits • 3 Features
Jul 1, 2025Summary of monthly work for 4C project in 2025-07: Highlights include Einstein summation for tensor ops introducing compile-time contractions, performance optimizations for rank-4 symmetric tensors, CI caching and artifact handling improvements, and a test data alignment fix for FSI tests. These efforts delivered faster builds, more efficient tensor computations, and more reliable test results, contributing to improved simulation performance and developer efficiency.
6 Commits • 3 Features
Jul 1, 2025Summary of monthly work for 4C project in 2025-07: Highlights include Einstein summation for tensor ops introducing compile-time contractions, performance optimizations for rank-4 symmetric tensors, CI caching and artifact handling improvements, and a test data alignment fix for FSI tests. These efforts delivered faster builds, more efficient tensor computations, and more reliable test results, contributing to improved simulation performance and developer efficiency.
July 2025
June 2025
18 Commits • 13 Features
Jun 1, 2025June 2025 monthly summary for 4C: Substantial progress in tensor capabilities across material evaluation and solid-element workflows, with focused improvements in tensor algebra, differentiation, and performance. The team delivered new tensor operations, robust tensor support in core evaluation paths, and targeted build optimizations, alongside important reliability fixes.
June 2025
18 Commits • 13 Features
Jun 1, 2025June 2025 monthly summary for 4C: Substantial progress in tensor capabilities across material evaluation and solid-element workflows, with focused improvements in tensor algebra, differentiation, and performance. The team delivered new tensor operations, robust tensor support in core evaluation paths, and targeted build optimizations, alongside important reliability fixes.
May 2025
5 Commits • 2 Features
May 1, 2025May 2025 monthly delivery focused on modernizing the Core Tensor API, expanding testing capabilities, and extending linear algebra utilities to enable robust tensor operations in 4C. The changes lay groundwork for easier data import, clearer API boundaries, and stronger numerical validation, improving downstream integration and reliability.
5 Commits • 2 Features
May 1, 2025May 2025 monthly delivery focused on modernizing the Core Tensor API, expanding testing capabilities, and extending linear algebra utilities to enable robust tensor operations in 4C. The changes lay groundwork for easier data import, clearer API boundaries, and stronger numerical validation, improving downstream integration and reliability.
May 2025
April 2025
3 Commits • 2 Features
Apr 1, 2025April 2025 focused on performance-oriented refinements in 4C, delivering compile-time optimization for fixed-size matrix operations and establishing a benchmark-ready build system. The changes improve computational efficiency for linear algebra workloads, reduce runtime overhead, and provide a reproducible baseline for performance tracking across platforms.
April 2025
3 Commits • 2 Features
Apr 1, 2025April 2025 focused on performance-oriented refinements in 4C, delivering compile-time optimization for fixed-size matrix operations and establishing a benchmark-ready build system. The changes improve computational efficiency for linear algebra workloads, reduce runtime overhead, and provide a reproducible baseline for performance tracking across platforms.
March 2025
17 Commits • 8 Features
Mar 1, 20252025-03 Monthly Summary — 4C-multiphysics/4C Key features delivered and technical achievements focused on expanding capability, stabilizing the codebase, and improving test reliability. Delivered influential elements for coupled solid-poroelastic simulations, consolidated feature parity across frameworks, and reduced legacy debt to streamline future work.
17 Commits • 8 Features
Mar 1, 20252025-03 Monthly Summary — 4C-multiphysics/4C Key features delivered and technical achievements focused on expanding capability, stabilizing the codebase, and improving test reliability. Delivered influential elements for coupled solid-poroelastic simulations, consolidated feature parity across frameworks, and reduced legacy debt to streamline future work.
March 2025
February 2025
25 Commits • 6 Features
Feb 1, 2025February 2025: Delivered major architectural and algorithmic improvements in 4C, focusing on core refactoring, DOF utilities, solid-poro element readiness, boundary condition fixes, and documentation enhancements. Implemented p-v-based Solid-Poro-Scatra element, prepared for solid-poro-p1, and aligned tests with updated elements. Improved code quality, performance, and reproducibility via input cleanups, regex-based value extraction, and reduced copy overhead.
February 2025
25 Commits • 6 Features
Feb 1, 2025February 2025: Delivered major architectural and algorithmic improvements in 4C, focusing on core refactoring, DOF utilities, solid-poro element readiness, boundary condition fixes, and documentation enhancements. Implemented p-v-based Solid-Poro-Scatra element, prepared for solid-poro-p1, and aligned tests with updated elements. Improved code quality, performance, and reproducibility via input cleanups, regex-based value extraction, and reduced copy overhead.
January 2025
24 Commits • 11 Features
Jan 1, 2025January 2025 performance summary for 4C development. Delivered core solid-element extensions (EAS/ANS) with support for shell-wedge6 and modernized element requires; enhanced release engineering with versioning and image tagging policies; completed codebase cleanup and modularization by moving element services to the core and removing legacy constructs; improved solver reliability and test coverage through convergence/reset fixes, centroid update enhancements, and test adaptations; strengthened CI, build performance, and validation standards (clang-tidy, YAML/JSON schema validation), delivering business-value by reducing maintenance costs, accelerating releases, and increasing simulation fidelity.
24 Commits • 11 Features
Jan 1, 2025January 2025 performance summary for 4C development. Delivered core solid-element extensions (EAS/ANS) with support for shell-wedge6 and modernized element requires; enhanced release engineering with versioning and image tagging policies; completed codebase cleanup and modularization by moving element services to the core and removing legacy constructs; improved solver reliability and test coverage through convergence/reset fixes, centroid update enhancements, and test adaptations; strengthened CI, build performance, and validation standards (clang-tidy, YAML/JSON schema validation), delivering business-value by reducing maintenance costs, accelerating releases, and increasing simulation fidelity.
January 2025
December 2024
13 Commits • 4 Features
Dec 1, 2024December 2024 monthly summary for 4C-multiphysics/4C focusing on delivering robust material modeling capabilities, reliability improvements, and business value through targeted fixes and enhancements. Key features and tests were added to support viscoelastic mixtures, an iterative prestress material type, and enhanced tensor operations, alongside cleanup of the mixture module. The CI/CD pipeline was optimized to speed up feedback and improve test reporting, while a concrete linearization bug fix strengthens solver accuracy in the implicit remodel fiber model. These efforts collectively improve material fidelity, test coverage, deployment reliability, and development velocity.
December 2024
13 Commits • 4 Features
Dec 1, 2024December 2024 monthly summary for 4C-multiphysics/4C focusing on delivering robust material modeling capabilities, reliability improvements, and business value through targeted fixes and enhancements. Key features and tests were added to support viscoelastic mixtures, an iterative prestress material type, and enhanced tensor operations, alongside cleanup of the mixture module. The CI/CD pipeline was optimized to speed up feedback and improve test reporting, while a concrete linearization bug fix strengthens solver accuracy in the implicit remodel fiber model. These efforts collectively improve material fidelity, test coverage, deployment reliability, and development velocity.
November 2024
48 Commits • 17 Features
Nov 1, 20244C monthly summary – 2024-11: Delivered significant CI/CD and quality improvements, expanded simulation capabilities with EAS, and automated documentation deployment. Key changes include: reusable configure/build action, separated build/test stages, test chunking, and build caching for faster pipelines; EAS integration (wedge6 solid-shell element and header organization) enabling EAS in tsi simulations; automated documentation workflow with Doxygen/ReadTheDocs and GitHub Pages deployment; code quality upgrades (clang-tidy, verify-headers, GCC 14 migration, pre-commit hash checks); code cleanup and reliability improvements (removing deprecated elements, reducing duplication, stabilizing brittle tests, and correcting PROBLEM TYPE naming across the codebase).
48 Commits • 17 Features
Nov 1, 20244C monthly summary – 2024-11: Delivered significant CI/CD and quality improvements, expanded simulation capabilities with EAS, and automated documentation deployment. Key changes include: reusable configure/build action, separated build/test stages, test chunking, and build caching for faster pipelines; EAS integration (wedge6 solid-shell element and header organization) enabling EAS in tsi simulations; automated documentation workflow with Doxygen/ReadTheDocs and GitHub Pages deployment; code quality upgrades (clang-tidy, verify-headers, GCC 14 migration, pre-commit hash checks); code cleanup and reliability improvements (removing deprecated elements, reducing duplication, stabilizing brittle tests, and correcting PROBLEM TYPE naming across the codebase).
November 2024
October 2024
6 Commits • 3 Features
Oct 1, 2024Monthly summary for 2024-10: Focused on delivering robust data handling in the 4C workflow, improving visibility of performance metrics in CI, and tightening the codebase to reduce technical debt. The work emphasizes business value through more reliable data exchange, faster issue detection, and easier future maintenance.
October 2024
6 Commits • 3 Features
Oct 1, 2024Monthly summary for 2024-10: Focused on delivering robust data handling in the 4C workflow, improving visibility of performance metrics in CI, and tightening the codebase to reduce technical debt. The work emphasizes business value through more reliable data exchange, faster issue detection, and easier future maintenance.
Activity
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Quality Metrics
Correctness92.0%
Maintainability91.8%
Architecture90.4%
Performance85.0%
AI Usage20.8%
Skills & Technologies
Programming Languages
BashCC++CMakeDATDatDataDockerfileDoxygenFortran
Technical Skills
API DesignAlgorithm OptimizationArtifact ManagementAutomatic DifferentiationBash ScriptingBenchmarkingBuild AutomationBuild ConfigurationBuild SystemBuild System ConfigurationBuild System ManagementBuild SystemsC++C++ DevelopmentC++ Template Metaprogramming
Repositories Contributed To
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