deepmodeling/abacus-develop
Nov 2024 – Jun 2025
5 Months active
Languages Used
C++MakefileMarkdownPythonCCMake
Technical Skills
Bug FixingBuild SystemBuild System ManagementC++Class DesignCode Cleanup
Haozhi Han
PROFILE
Haozhi Han
Haozhi Han contributed to the deepmodeling/abacus-develop repository by delivering foundational refactors and feature enhancements for scientific computing workflows. Over five months, he unified wavefunction initialization logic, improved atomic wavefunction generation for spin-polarized and non-collinear cases, and streamlined build system configuration by consolidating machine learning algorithm flags. His work involved extensive C++ class design, memory management optimization, and CMake-based build system updates, ensuring cross-backend compatibility and safer API usage. By removing legacy code and modernizing module structures, Haozhi improved maintainability, reduced configuration errors, and enabled more robust simulations, demonstrating depth in code organization and high-performance computational physics engineering.
Overall Statistics
Feature vs Bugs
89%Features
Repository Contributions
20Total
Bugs
1
Commits
20
Features
8
Lines of code
638,905
Activity Months5
Your Network
50 peopleSame Organization
@stu.pku.edu.cn25
Work History
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for deepmodeling/abacus-develop: Key feature delivered was unifying ML algorithm build flags by consolidating ENABLE_DEEPKS and ENABLE_MLKEDF into ENABLE_MLALGO, simplifying build configuration and unifying management of ML-related algorithms. No major bugs fixed this month; focus was on feature unification and code quality improvements. Impact includes streamlined builds, reduced configuration errors, and improved onboarding for ML features; provides a single flag to govern ML algorithms across the codebase, enabling safer releases. Technologies/skills demonstrated include build-system refactoring, feature flag consolidation, code maintenance, commit-based traceability, and cross-repo consistency.
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for deepmodeling/abacus-develop: Key feature delivered was unifying ML algorithm build flags by consolidating ENABLE_DEEPKS and ENABLE_MLKEDF into ENABLE_MLALGO, simplifying build configuration and unifying management of ML-related algorithms. No major bugs fixed this month; focus was on feature unification and code quality improvements. Impact includes streamlined builds, reduced configuration errors, and improved onboarding for ML features; provides a single flag to govern ML algorithms across the codebase, enabling safer releases. Technologies/skills demonstrated include build-system refactoring, feature flag consolidation, code maintenance, commit-based traceability, and cross-repo consistency.
June 2025
May 2025
2 Commits • 2 Features
May 1, 2025Month: 2025-05 — Focused on release readiness and foundational refactoring in deepmodeling/abacus-develop. Key features delivered: (1) Software Release Version Bump to v3.9.0.5, enabling the official product release; (2) Paw Module Overhaul/Refactor to support a planned redesign by removing legacy code from vkb.dat and vks.dat. No documented critical bugs fixed this month; bug work prioritized stable release and clean refactor. Impact: Improves release traceability and maintainability, reduces legacy debt in the paw module, and establishes a solid base for the upcoming redesign. This supports faster, safer deployments and smoother onboarding for new contributors. Technologies/skills demonstrated: semantic versioning and release management, large-scale code refactoring, module isolation and cleanup, version-controlled change tracking, and proactive planning for architectural redesign.
May 2025
2 Commits • 2 Features
May 1, 2025Month: 2025-05 — Focused on release readiness and foundational refactoring in deepmodeling/abacus-develop. Key features delivered: (1) Software Release Version Bump to v3.9.0.5, enabling the official product release; (2) Paw Module Overhaul/Refactor to support a planned redesign by removing legacy code from vkb.dat and vks.dat. No documented critical bugs fixed this month; bug work prioritized stable release and clean refactor. Impact: Improves release traceability and maintainability, reduces legacy debt in the paw module, and establishes a solid base for the upcoming redesign. This supports faster, safer deployments and smoother onboarding for new contributors. Technologies/skills demonstrated: semantic versioning and release management, large-scale code refactoring, module isolation and cleanup, version-controlled change tracking, and proactive planning for architectural redesign.
January 2025
3 Commits • 1 Features
Jan 1, 2025January 2025 performance summary for deepmodeling/abacus-develop. Key features delivered and major fixes: Psi Class Refactor and Cross-Backend Constructor Improvements, and DiagH Subspace Dimension Fix (dmin vs dmax). The changes collectively improved memory management, initialization, and device-type flexibility, ensuring consistency across computational backends and CUDA builds, while eliminating a dimension-related bug in diagonal subspace computations. Technologies demonstrated include C++ class design and refactoring, memory management optimization, cross-backend compatibility, ngk handling updates, and CUDA build stability, delivering stronger reliability and scalability for larger models.
3 Commits • 1 Features
Jan 1, 2025January 2025 performance summary for deepmodeling/abacus-develop. Key features delivered and major fixes: Psi Class Refactor and Cross-Backend Constructor Improvements, and DiagH Subspace Dimension Fix (dmin vs dmax). The changes collectively improved memory management, initialization, and device-type flexibility, ensuring consistency across computational backends and CUDA builds, while eliminating a dimension-related bug in diagonal subspace computations. Technologies demonstrated include C++ class design and refactoring, memory management optimization, cross-backend compatibility, ngk handling updates, and CUDA build stability, delivering stronger reliability and scalability for larger models.
January 2025
December 2024
6 Commits • 3 Features
Dec 1, 2024December 2024: Focused feature delivery and stability hardening in abacus-develop, enabling spin-polarized and non-collinear simulations, improved solver convergence control, and safer API usage. The month delivered core capabilities for magnetic material simulations, more robust iterative solvers, and maintainable code, directly supporting research workflows and long-term product reliability.
December 2024
6 Commits • 3 Features
Dec 1, 2024December 2024: Focused feature delivery and stability hardening in abacus-develop, enabling spin-polarized and non-collinear simulations, improved solver convergence control, and safer API usage. The month delivered core capabilities for magnetic material simulations, more robust iterative solvers, and maintainable code, directly supporting research workflows and long-term product reliability.
November 2024
8 Commits • 1 Features
Nov 1, 2024November 2024 performance summary for deepmodeling/abacus-develop: Delivered a major refactor unifying PSI/WF initialization and wavefunction handling across the repository. Centralized initialization logic into WFInit/PSIInit, replaced the legacy WFInit with PSIInit, and removed redundant members. Relocated psiinit and reorganized related files, updated the build system, and streamlined wavefunction initialization paths to improve maintainability and reliability across calculation types and basis sets. Introduced a safety flag to prevent double initialization, reducing misinitialization risks in complex workflows. Key achievements and milestones: - Unified PSI/WF initialization across modules, establishing a single, consistent initialization pathway. - Centralized logic in WFInit/PSIInit; deprecated/removed outdated init paths (init_wfc, mem_saver, out_wfc_pw, out_wfc_r) and removed wf from esolver, simplifying the initialization surface. - Code hygiene and maintainability improvements: removal of unused includes, relocation of psiinit to hsolver folder, migration of wf_atomic and wavefunc files, modernization of wavefunc.cpp, and build-system adjustments to support the new structure. - Robustness enhancements: introduced a safety flag to prevent double initialization and ensured correct handling across multiple calculation types and basis sets. - Cross-cutting refactor documented through eight+ commits, reflecting a coordinated effort to improve modularization and future extensibility. Business impact: - More reliable wavefunction initialization reduces runtime failures and debugging time in complex simulations. - Cleaner, more maintainable codebase accelerates future feature work and onboarding for new contributors. - Improved compatibility with multiple calculation types and basis sets enables broader use cases with lower integration risk. Technologies and skills demonstrated: - C++ refactoring and object-oriented design for initialization logic - Module and file-system reorganization (psiinit/hsolver, wf_atomic, wavefunc) - Build-system updates to reflect new initialization paths - API simplification by removing legacy init surfaces and consolidating interfaces - Cross-repo coordination reflected in multiple commits across the abacus-develop project
8 Commits • 1 Features
Nov 1, 2024November 2024 performance summary for deepmodeling/abacus-develop: Delivered a major refactor unifying PSI/WF initialization and wavefunction handling across the repository. Centralized initialization logic into WFInit/PSIInit, replaced the legacy WFInit with PSIInit, and removed redundant members. Relocated psiinit and reorganized related files, updated the build system, and streamlined wavefunction initialization paths to improve maintainability and reliability across calculation types and basis sets. Introduced a safety flag to prevent double initialization, reducing misinitialization risks in complex workflows. Key achievements and milestones: - Unified PSI/WF initialization across modules, establishing a single, consistent initialization pathway. - Centralized logic in WFInit/PSIInit; deprecated/removed outdated init paths (init_wfc, mem_saver, out_wfc_pw, out_wfc_r) and removed wf from esolver, simplifying the initialization surface. - Code hygiene and maintainability improvements: removal of unused includes, relocation of psiinit to hsolver folder, migration of wf_atomic and wavefunc files, modernization of wavefunc.cpp, and build-system adjustments to support the new structure. - Robustness enhancements: introduced a safety flag to prevent double initialization and ensured correct handling across multiple calculation types and basis sets. - Cross-cutting refactor documented through eight+ commits, reflecting a coordinated effort to improve modularization and future extensibility. Business impact: - More reliable wavefunction initialization reduces runtime failures and debugging time in complex simulations. - Cleaner, more maintainable codebase accelerates future feature work and onboarding for new contributors. - Improved compatibility with multiple calculation types and basis sets enables broader use cases with lower integration risk. Technologies and skills demonstrated: - C++ refactoring and object-oriented design for initialization logic - Module and file-system reorganization (psiinit/hsolver, wf_atomic, wavefunc) - Build-system updates to reflect new initialization paths - API simplification by removing legacy init surfaces and consolidating interfaces - Cross-repo coordination reflected in multiple commits across the abacus-develop project
November 2024
Activity
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Quality Metrics
Correctness87.6%
Maintainability86.6%
Architecture84.6%
Performance75.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
CC++CMakeMakefileMarkdownPython
Technical Skills
Bug FixingBuild SystemBuild System ConfigurationBuild System IntegrationBuild System ManagementC programmingC++C++ DevelopmentCI/CD ConfigurationCMakeCUDA ProgrammingClass DesignCode CleanupCode OptimizationCode Organization
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