Extend the practical voltage window by designing the electrolyte and cathode interface together. CD ComputaBio applies AI, molecular simulation, quantum chemistry, and mechanism-based analysis to prioritize oxidation-resistant solvents, salts, and CEI-forming additives for high-voltage battery systems.
From candidate screening and cathode-surface modeling to CEI interpretation and failure-data analysis, our services are organized around the formulation decision you need to make next.
Rank solvents, co-solvents, salts, and additives by redox descriptors, physicochemical properties, structural alerts, and constraints.
Compare molecular orientation, binding, competitive adsorption, and surface-dependent reactivity on relevant facets or coatings.
Evaluate electron-transfer tendencies, bond cleavage, radical intermediates, gas-forming routes, and product energetics.
Interpret expected organic/inorganic film components, passivation potential, ionic transport, and chemical durability.
Use molecular dynamics to analyze coordination, free-solvent activity, ion clusters, transport, and temperature response.
Connect EIS, gas, cycling, XPS, ICP, NMR, and other measurements with molecular and interfacial mechanisms.
At elevated cathode potentials, solvent and salt oxidation can trigger gas generation, resistive CEI growth, transition-metal dissolution, surface reconstruction, electrolyte consumption, and impedance rise. These processes are coupled and may change with temperature, state of charge, trace water, formation protocol, and cathode surface chemistry.
Our workflow focuses on the complete failure chain: which species reacts first, what products are likely to form, whether those products protect or damage the interface, and which formulation changes are worth testing.
Identify solvents, anions, impurities, and additives most susceptible to electron removal or bond cleavage.
Assess adsorption, competitive decomposition, catalytic cathode surfaces, and reaction energetics.
Estimate whether products support passivation, ionic transport, mechanical integrity, and low impedance.
Connect reaction hypotheses with gas, impedance, metal dissolution, capacity fade, and cycling behavior.
Different bottlenecks require different molecular and interfacial design strategies.
Screen oxidation-sensitive species and plausible pathways leading to CO₂, CO, oligomers, or other volatile products.
Compare additives and anions that may form dense, ion-conductive, electronically insulating surface films.
Assess acid-forming pathways, anion decomposition, metal coordination, and chelating or scavenging strategies.
Link excessive interphase formation, salt depletion, poor wetting, or unstable products with transport limitations.
Rather than ranking molecules only by a calculated oxidation potential, we evaluate how the molecule interacts with the charged cathode surface and what happens after the first electron-transfer or bond-breaking event.
Each strategy is evaluated for both intended function and possible side effects.
Compare fluorinated, sulfone, nitrile, phosphate, ionic-liquid, or other solvent families while retaining transport and wetting.
Evaluate anion stability, coordination, decomposition products, aluminum corrosion risk, and concentration effects.
Prioritize sacrificial oxidation, surface affinity, product stability, and low loading requirements.
Assess contact ion pairs, aggregates, reduced free solvent activity, viscosity, and salt-consumption trade-offs.
Study compatibility with cathode coatings, dopants, surface reconstruction, and formation conditions.
Fuse formulation, electrochemistry, gas, spectroscopy, and impedance data to identify performance drivers.
Specify cathode, upper cutoff, anode, temperature, formation protocol, baseline electrolyte, and observed failure.
Curate candidate molecules, surfaces, impurities, coatings, and plausible decomposition routes.
Apply AI, DFT, MD, surface calculations, and targeted reactive simulations where needed.
Compare initiation, products, CEI behavior, gas risk, metal dissolution, and impedance trade-offs.
Deliver ranked formulations, controls, analytical readouts, and clear go/no-go criteria.
Deliverables are configured around the client's voltage target, failure mode, data availability, and experimental capacity.
Prioritized solvents, salts, additives, and composition ranges with trade-off analysis.
Likely oxidation pathways, intermediates, gas routes, products, and passivation hypotheses.
Optimized structures, surfaces, trajectories, energies, descriptors, figures, and calculation records.
Recommended formulations, controls, electrochemical tests, analytics, and decision thresholds.
The workflow is defined by the specific cathode, surface state, electrolyte composition, and target operating conditions rather than by one universal voltage threshold. The project should specify the intended cutoff and relevant reference electrode.
Yes. Candidate additives can be assessed for oxidation tendency, adsorption, decomposition products, gas-forming pathways, and whether the expected products are consistent with protective or resistive interphase growth.
Yes. Surface coatings, doped surfaces, reconstructed layers, or representative facets can be incorporated when structural information and project scope support meaningful comparison.
Electrochemical and analytical observations are used to constrain likely mechanisms, prioritize calculations, and distinguish between competing explanations such as solvent oxidation, salt decomposition, metal dissolution, or excessive film growth.
Provide your cathode chemistry, upper cutoff voltage, baseline formulation, cycling conditions, and available analytical data. CD ComputaBio will develop a targeted screening and interface-modeling plan.
Submit your project details below, and our team will respond within 24 hours.
Talk to our technical team about your project!
I Want To Talk