March 2026 performance highlights: Delivered a quaternion-based rotation system with a dual-chart representation to fix gimbal-lock in y-axis edge cases, ensuring smooth gradients and Hessians while preserving compatibility with existing Euler-angle conventions. Refactored FAIRChemCalculator batch prediction to support single-atom inputs in AtomicData, preventing errors in UMA-style batches and maintaining compatibility with pre-1.2 models. These changes enhance robustness, reliability across batch sizes, and continuity with existing checkpoints, enabling more stable experimentation and deployment.

February 2026 monthly highlights for FAIR-Chem projects. Key features delivered include model-agnostic inference APIs for MLIPredictUnit and FAIRChemCalculator enabling multi-model support with a consistent interface; FP64 inference mode added to preserve numerical precision; CI/CD improvements to manage Dependabot PRs and maintain cleaner PR histories; and substantial testing improvements to enhance reliability and performance. Additional work extended DDP loss function testing to improve distributed-training coverage. These efforts deliver measurable business value by accelerating model onboarding, improving numerical stability, and reducing CI noise and test flakiness.

January 2026—Focused on strengthening validation for graph generation under non-periodic boundary conditions (NPBC) in FAIR-Chem/fairchem. Implemented NPBC graph generation tests to verify graph structures across diverse molecules, improving reliability of simulation inputs and catching edge cases early. This work enhances future NPBC development and reduces risk in downstream analyses. No critical bugs fixed this month; emphasis was on test coverage, quality, and risk reduction in graph-generation components.

Month: 2025-10 — Monthly performance summary focusing on targeted bug fixes in FAIR-Chem/fairchem. Delivered a precise correction to OMol energy references in iso_atom_elem_refs.yaml by applying ASE's eV to Ha conversion factor, ensuring accurate energy references for molecular simulations. This change improves unit consistency, reduces risk of energy reference drift, and enhances reliability of downstream calculations across the codebase.

June 2025 monthly summary for FAIR-Chem/fairchem: Key features delivered include expanding QM workflows by adding a Be+ reference energy to the OMol benchmarking config (iso_atom_elem_refs.yaml) and introducing a new def2-tzvpd basis set file. No major bugs fixed this month. The changes strengthen benchmarking fidelity and broaden basis-set coverage, enabling more accurate comparisons and scalable testing of QM workflows. Overall impact includes improved accuracy and reproducibility of QM benchmarking, clearer change traceability with commits, and readiness for broader deployment. Technologies/skills demonstrated include YAML configuration updates, basis-set file management, version control, and integration with QM benchmarking pipelines.

March 2025 monthly summary for FAIR-Chem/fairchem. Delivered robust download path handling for PyPI vs development builds, improving reliability of file placement across install methods. Introduced change_path_for_pypi to compute correct destination paths per installation method, updated CI to exercise both scenarios, and enhanced error handling with structured logging and clearer user feedback.