From evidence to engineering breakthroughs.

Design and optimize multi-component compositions within element and specification limits.

Solve unknown additions needed to reach a target chemistry or property window.

Estimate dilution and composition changes during welding and additive processing.

Balance raw materials, recovery factors, and final melt chemistry.

Explore how selected chemistry paths intersect phase fields and transformation temperatures.

Estimate liquid fraction, segregation, and solidification sequence.

Model precipitate evolution and strengthening response over time.

Estimate phase morphology and grain-scale outcomes from composition.

Search assessed compositions and material families.

Cross-reference UNS, EN, JIS, ISO, and common grade names.

Review elemental properties, effects, and common alloying ranges.

Compare a composition against one or more selected standards.

Configure components, databases, phases, temperature, pressure, and composition to run a complete thermodynamic calculation.

Compute stable phases and fractions over temperature, pressure, or composition sweeps.

Simulate non-equilibrium solidification, segregation, and phase formation during cooling.

Plot phase fractions, activities, enthalpy, heat capacity, and other properties against conditions.

Explore phase equilibria and transformation temperatures in binary and multicomponent systems.

Visualize isopleths and composition sections across ternary and higher-order systems.

Identify invariant reactions and critical points in phase diagrams.

Map phase fractions across temperature and composition spaces.

Compute equilibrium phases and phase fractions at specified conditions.

Minimize Gibbs energy to find stable states and reaction equilibria.

Determine solidus and liquidus lines for alloy systems.

Analyze reaction pathways, barriers, and activation energies.

Access assessed thermodynamic properties, parameters, and solution models.

Browse elemental and compound data, phases, and thermophysical properties.

Convert units, compositions, energies, pressures, and thermodynamic quantities.

Review model assumptions, methods, and calculation notes used by the tools.

Build, compare, and export multi-stage heat-treatment cycles.

Explore transformation start, finish, and cooling-rate effects.

Estimate cooling response and section sensitivity for quenching media.

Balance hardness, toughness, and thermal exposure targets.

Explore safe processing windows for temperature and strain rate.

Estimate instability, flow localization, and workability limits.

Plan pass reductions, temperatures, and accumulated strain.

Compare scan strategy, energy density, and thermal history.

Estimate grain-size evolution under thermal exposure.

Model nucleation, fraction recrystallized, and final grain size.

Visualize orientation distributions and texture intensity.

Assess hot cracking, porosity, and processing-defect windows.

Start with the scientific question, inspect method readiness, and navigate one coherent evidence-to-report workflow.

Inspect available engines, validated model packages, required workers, and claim boundaries before launching a study.

Create the sample and region record, register available measurements, and follow the authoritative nine-step validation route.

Align SEM, EDS, and EBSD maps with distributed landmarks, validation residuals, and explicit spatial-claim gates.

Validate imported spectra, inspect candidate characteristic-line matches and overlaps, and compare reported chemistry without claiming automatic quantification.

Validate diffraction patterns, detect transparent peak candidates, and test declared lattice hypotheses without claiming automatic phase identification.

Test transformation relationships, variants, packets, and measured orientation residuals with declared symmetries.

Reconstruct prior-parent orientations, assign variants, and expose stability, inlier, and ambiguity diagnostics.

Evaluate transformation stretches, volume change, lattice compatibility, and limited twin or CSL screens.

Combine independent support and contradiction from microscopy, chemistry, diffraction, crystallography, thermodynamics, and process history.

Separate measured, calculated, inferred, and predicted records; expose refusal gates; and export a reproducibility manifest.

Use a clearly separated specialist track for DSC, functional loops, fatigue, local ML, and calibrated Nitinol model evidence.

Import ANG/CTF maps, reconstruct grains, calculate KAM and boundaries, and generate solver-ready voxel structures.

Register SEM/BSE/EBSD/EDS layers, segment phases, quantify particle–boundary interactions, uncertainty, Zener pinning and simulation handoffs.

Stage and run native VPSC input sets for polycrystal response, slip activity, and texture evolution.

Run native DAMASK spectral-grid jobs using material, loading, and VTK ImageData inputs.

Run native large-strain EVPFFT cases for voxel-scale fields, grain rotation, and texture.

Run configured MOOSE-compatible crystal-plasticity finite-element input decks and collect native outputs.

Reconstruct prior-parent grains, variants, packets and blocks from product-phase EBSD with residual and confidence maps.

Fit and refine parent–child orientation relationships against measured grain orientations and quantify ambiguity.

Calculate lattice correspondence, deformation gradients, polar decomposition, principal strains, variants and compatibility.

Rank crystallographic hypotheses against measured orientations, interface traces, mechanical work and neighbour compatibility.

Evolve recovery, stored energy, site-specific nucleation, Zener opposition and recrystallized fraction with documented assumptions.

Couple measured or synthetic particles to fragmentation, precipitation, pinning, PSN and recrystallization screens.

Evaluate composition and thermomechanical schedules through intermetallic, precipitation, texture, recrystallization and property screens.

Fuse time-series process signals, detect anomalous events and link them to microscopy and microstructure outcomes.

Fit reduced-order kinetic and property models, quantify residuals, bootstrap uncertainty, sensitivity and information criteria.

Connect samples, processing, microscopy, grains, particles, simulations, parameters and publications in a queryable provenance graph.

Train leakage-safe classification and regression models from EBSD, particle, process, operando, RVE or imported datasets with cross-validation, conformal uncertainty and model cards.

Train local pixel classifiers from microscopy images and sparse or imported labels, generate phase predictions and uncertainty maps, and validate per-class performance.

Rank uncertain experiments, detect deployment drift, audit leakage and missingness, preserve preprocessing, and connect validated models to the laboratory knowledge graph.

Compose rotations and rotate vectors directly in general non-Cartesian crystal bases using metric and cross tensors, with independent Cartesian-route validation.

Construct convention-independent direct/reciprocal metrics, cross tensors, cell volumes, spherical-law checks and symmetry operators for all crystal systems.

Audit EBSD neighbour misorientations and axes in the direct crystal basis, compare against structure-tensor conversion and benchmark both computational routes.

A unified SMA workspace connecting PTMC/WLR, correspondence theory, lattice data, calorimetry, XRD, self-accommodation, interaction work, fatigue, devices and phase engineering.

Solve B2→B19′ correspondence variants, transformation twins, lattice-invariant twinning, laminate fractions and all habit-plane variants from the active lattice parameters.

Evaluate A/M, M/M and shear/shear compatibility through metrics, symmetries, CMC/SMC tensors and compare with cofactor-condition diagnostics.

Compute λ₂, twin-dependent cofactor conditions, compatibility distances, uncertainty intervals and evidence grades for binary or user-defined NiTi lattices.

Predict B19′ lattice geometry and atomic coordinates from Ti/Ni diameters and monoclinic angle, then compare directly with active XRD-derived lattice parameters.

Interpolate composition- and temperature-dependent B2/B19′ lattice parameters with uncertainty, provenance, custom data and thermal-history warnings.

Process cooling/heating DSC data for Ms, Mf, As, Af, hysteresis, enthalpy, entropy production and dissipated-energy screening.

Fit uncertainty-weighted B2 and B19′ lattice-parameter series and extrapolate them to Ms, room temperature or a user-defined target temperature.

Analyse 2-, 3-, 4- and 6-HPVC populations, shape-strain cancellation, interface compatibility, composition effects and CSS-controlled accommodation regimes.

Map interaction work for variant reorientation and deformation twinning under arbitrary stress states, orientations and martensite structures.

Rank parent and martensite slip systems by their ability to accommodate local habit-plane incompatibility across zig-zag geometry and slip-shear sweeps.

Reconstruct three-dimensional local habit planes from multi-surface traces and compare them with PTMC normals, invariant lines and eigenplanes.

Run transparent one-dimensional stress-, strain- or temperature-controlled shape-memory and superelastic cycles with phase-fraction histories.

Estimate cycle-by-cycle residual strain, hysteresis evolution, transformation-temperature drift and damage indicators from calibrated degradation laws.

Size wire force, stroke, resistance, thermal mass and ideal heating energy while checking stress and recoverable-strain limits.

Estimate adiabatic temperature change, specific cooling, mechanical work, material COP and hysteresis penalties from calorimetric inputs.

Explore binary NiTi composition and lattice targets for compatibility, hysteresis, transformation temperature and uncertainty-aware design ranking.

Export reproducible PTMC benchmarks, OpenSees material cards, Python projects and datasets for M³/ML, CPFEM and external SMA constitutive solvers.

Predict yield strength, tensile strength, hardness, and elongation.

Estimate S–N response, endurance limits, and life distributions.

Model time-to-rupture and deformation under sustained load.

Compare toughness trends and flaw sensitivity.

Estimate conductivity across temperature and phase fraction.

Compare expansion coefficients and mismatch risk.

Calculate density from composition, phases, and porosity.

Visualize heat capacity and enthalpy changes with temperature.

Compare material families using interactive property-selection charts.

Review balanced performance across selected criteria.

Inspect confidence intervals, sensitivity, and data coverage.

Create shareable tables, figures, and technical summaries.

Convert temperature, stress, energy, composition, and pressure units.

Evaluate common metallurgy equations with traceable inputs.

Extract approximate data points from published technical plots.

Run supported calculations across structured CSV datasets.

Cross-reference grade systems and designation standards.

Resolve aliases, family names, and common naming conflicts.

Browse chemistry and property requirements by standard.

Generate consistent references for tools, datasets, and methods.

Search curated metallurgy datasets by material, method, and coverage.

Review provenance, uncertainty, exclusions, and update history.

Search technical references connected to tools and datasets.

Manage prepared exports and reusable project datasets.