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Frontier-Eng currently ships tasks across the domains below. Each task is backed by a runnable evaluator and real engineering context. See each domain's folder under benchmarks/ for per-task documentation and quickstart instructions.
We welcome new engineering problem ideas — even without complete verification code. Open an Issue describing the real-world background and engineering value, and we will rally the community around it.
| Domain | Task | Description |
|---|---|---|
| Astrodynamics | MannedLunarLanding |
Maximize CRTBP lunar payload under trajectory and dynamics constraints (Octave validated) |
| ParticlePhysics | MuonTomography |
Muon detector placement optimization under flux, budget, and excavation constraints |
ProtonTherapyPlanning |
IMPT dose weight optimization under tumor coverage, OAR safety, and beam cost constraints | |
| KernelEngineering | MLA |
Multi-head latent attention decoding kernel (CUDA/Triton) |
TriMul |
Triangular multiplicative update kernel (CUDA/Triton) | |
FlashAttention |
Causal scaled dot-product attention forward kernel optimized for GPU execution | |
| SingleCellAnalysis | denoising |
Open Problems single-cell RNA denoising |
perturbation_prediction |
Perturbation response prediction (NeurIPS 2023 scPerturb) | |
predict_modality |
Cross-modality gene expression prediction (RNA → ADT), NeurIPS 2021 | |
| QuantumComputing | routing_qftentangled |
QFT circuit routing optimization on IBM Falcon (gate count & depth) |
clifford_t_synthesis |
Clifford+T synthesis optimization for QFT circuits | |
cross_target_qaoa |
Cross-target robust QAOA optimization for IBM and IonQ backends | |
| Cryptographic | AES-128 CTR |
C++ AES-128 Counter mode throughput (OpenSSL verified) |
SHA-256 |
C++ SHA-256 throughput (OpenSSL verified) | |
SHA3-256 |
C++ SHA3-256 throughput (OpenSSL verified) | |
| CommunicationEngineering | LDPCErrorFloor |
LDPC code error floor estimation via importance sampling on trapping sets |
PMDSimulation |
Polarization Mode Dispersion simulation with importance sampling for rare outage events | |
RayleighFadingBER |
BER analysis under Rayleigh fading with importance sampling for deep fade events | |
| EnergyStorage | BatteryFastChargingProfile |
Fast-charge current-profile optimization under voltage, thermal, and degradation constraints |
BatteryFastChargingSPMe |
Staged fast-charge optimization under a high-fidelity SPMe-T-Aging electrochemical model | |
| SustainableDataCenterControl | hand_written_control |
Joint control of load shifting, cooling, and battery dispatch in a data center |
| ReactionOptimisation | snar_multiobjective |
Pareto-optimize continuous-flow SnAr reaction (yield vs. waste) |
mit_case1_mixed |
Mixed-variable reaction yield maximization (continuous settings + categorical catalyst) | |
reizman_suzuki_pareto |
Pareto-optimize Suzuki coupling (yield vs. catalyst turnover) | |
dtlz2_pareto |
DTLZ2 Pareto-front approximation | |
| MolecularMechanics | weighted_parameter_coverage |
Rare force-field parameter coverage under a molecule budget |
diverse_conformer_portfolio |
Low-energy, high-diversity conformer portfolio selection | |
torsion_profile_fitting |
Force-field torsion-scale fitting against target energy profiles | |
| Optics | adaptive_constrained_dm_control |
Constrained deformable mirror (DM) control |
adaptive_temporal_smooth_control |
Temporal smoothness vs. correction quality trade-off in adaptive optics | |
adaptive_energy_aware_control |
Energy-aware adaptive optics control | |
adaptive_fault_tolerant_fusion |
Fault-tolerant multi-WFS slope fusion for adaptive optics control | |
phase_weighted_multispot_single_plane |
Single-plane weighted multispot phase DOE | |
phase_fourier_pattern_holography |
Fourier pattern holography | |
phase_dammann_uniform_orders |
Dammann grating uniform diffraction orders | |
phase_large_scale_weighted_spot_array |
Large-scale weighted spot array synthesis | |
fiber_wdm_channel_power_allocation |
WDM channel and launch power allocation | |
fiber_mcs_power_scheduling |
Joint MCS and power scheduling | |
fiber_dsp_mode_scheduling |
Receiver DSP mode scheduling | |
fiber_guardband_spectrum_packing |
Spectrum packing with guard-band constraints | |
holographic_multifocus_power_ratio |
Multi-focus power ratio control | |
holographic_multiplane_focusing |
Multi-plane holographic focusing | |
holographic_multispectral_focusing |
Multispectral holographic focusing | |
holographic_polarization_multiplexing |
Polarization-multiplexed holography | |
| ComputerSystems | MallocLab |
High-performance C memory allocator (utilization & throughput) |
DuckDBWorkloadOptimization |
Index / materialized-view selection and query rewriting on official DuckDB workloads | |
| EngDesign | CY_03, WJ_01, XY_05, AM_02, AM_03, YJ_02, YJ_03 |
Multi-discipline tasks from EngDesign: drivers, denoising, CPU logic, path planning |
| InventoryOptimization | tree_gsm_safety_stock |
Tree-structured multi-echelon safety-stock placement (GSM) |
general_meio |
General-topology MEIO with simulation-based objective | |
joint_replenishment |
Multi-SKU joint replenishment with shared setup cost | |
finite_horizon_dp |
Finite-horizon stochastic inventory control via time-varying policy | |
disruption_eoqd |
EOQ lot-sizing optimization under supply disruptions | |
| PyPortfolioOpt | robust_mvo_rebalance |
Robust mean-variance rebalancing with sector / factor / turnover constraints |
cvar_stress_control |
CVaR stress-controlled portfolio allocation under return and exposure constraints | |
discrete_rebalance_mip |
Discrete lot-constrained rebalancing with mixed-integer optimization | |
| JobShop | abz |
JSSP ABZ family (Adams, Balas, Zawack 1988) |
ft |
JSSP FT family (Fisher and Thompson 1963) | |
la |
JSSP LA family (Lawrence 1984) | |
orb |
JSSP ORB family (Applegate and Cook 1991) | |
swv |
JSSP SWV family (Storer, Wu, Vaccari 1992) | |
ta |
JSSP Taillard family (1993) | |
yn |
JSSP YN family (Yamada and Nakano 1992) | |
| StructuralOptimization | ISCSO2015 |
Minimize weight of 45-bar 2D truss under stress / displacement constraints |
ISCSO2023 |
Minimize weight of 284-member 3D tower with discrete sections | |
TopologyOptimization |
MBB beam 2D topology optimization (SIMP), volume-constrained compliance minimization | |
PyMOTOSIMPCompliance |
pyMOTO-based 2D beam topology optimization (SIMP + OC/MMA) under a volume-fraction constraint | |
| Robotics | DynamicObstacleAvoidanceNavigation |
Navigate a differential-drive robot from start to goal in a dynamic environment |
QuadrupedGaitOptimization |
Maximize forward locomotion speed of a quadruped (MuJoCo) by optimizing 8 gait parameters | |
RobotArmCycleTimeOptimization |
Minimize motion time of a 7-DOF KUKA LBR iiwa arm (PyBullet), collision-free | |
PIDTuning |
Tune cascaded PID gains for a 2D quadrotor across multiple flight scenarios | |
UAVInspectionCoverageWithWind |
UAV inspection coverage under wind field disturbance | |
CoFlyersVasarhelyiTuning |
Tune the Vasarhelyi flocking parameters for the CoFlyers swarm system | |
| Aerodynamics | CarAerodynamicsSensing |
30 sensor locations on 3D car surface for pressure field reconstruction |
DawnAircraftDesignOptimization |
Jointly optimize wing, fuselage, and propulsion variables to minimize total aircraft mass | |
| WirelessChannelSimulation | HighReliableSimulation |
Importance-sampling BER estimator for Hamming(127,120) |
| PowerSystems | EV2GymSmartCharging |
Upstream-aligned EV smart charging scheduling |
| AdditiveManufacturing | DiffSimThermalControl |
Process optimization in additive manufacturing via differentiable simulation |