Study: Quantum chemistry
First-principles predictions of structure, energetics, spectra, and reaction mechanisms.
Document exemplar studies, pilot recaps, and validated workflows here. Use MDX for deep dives that mix prose, data tables, and callouts. Each entry should articulate the hypothesis, approach, and decision impact.
First-principles predictions of structure, energetics, spectra, and reaction mechanisms.
Time-dependent insights into conformations, bindings, stability, and thermodynamics and kinetics.
An ensemble view of conformations, flexibilities, functions, and motions for decision-useful predictions.
Translations of structure-property data into predictive maps of potency and developability.
Informatics at scale through representation, search, and reaction-aware analytics for triage and libraries.
Comparative modeling to produce a 3D structure for experimental planning and biologic design.
Substitutions and sequence variants for improved stability, activity, specificity, and expression.
Electrostatics, free-energy, and QM/MM to quantify the energetic determinants of function and reactivity.
CFD and electromagnetic or elastic PDE solvers to predict spatiotemporal fields from first principles for performance, safety margins, and design.
Tractable surrogates that preserve dominant mechanisms, enabling rapid parameter sweeps, uncertainty quantification, and real-time decision support.
Equilibrium distribution methods for phase behavior, fluctuation-driven effects, and macroscopic observables inferred from microscopic rules.
Integrated models to infer latent parameters, calibrate predictive systems, and generate defensible forecasts with explicitly quantified uncertainty.
More content will be added to each study shortly.