{"schema_version":1,"research_id":"eoa_inverse_innovation_exp06_external_evaluation_20260803","source_assessment_id":"predictive_residual_processing__nanotechnology:P2:v0","cell_id":"predictive_residual_processing__nanotechnology","search_queries":["scanning probe microscopy feedforward control actuator induced vibration cantilever residual contact detection","atomic force microscope model based feedforward control piezo scanner dynamics paper","AFM probe protection force threshold tip sample damage Bruker PeakForce official","scanning probe nanomanipulation slip detection force signal paper","atomic force microscope tip sample interaction force estimation disturbance observer residual actuator command","AFM contact detection model residual cantilever command feedforward","nanomanipulation AFM force feedback probe slip particle manipulation force signal","AFM collision avoidance probe protection automatic tip sample contact detection","site:bruker.com AFM PeakForce protect tip sample feedback force control","site:oxinst.com atomic force microscopy tip sample protection force control","site:nanosurf.com AFM safe approach tip sample force feedback official","site:parksystems.com AFM tip protection force control official","ISO standard scanning probe microscopy calibration cantilever deflection AFM","site:iso.org scanning probe microscopy standard atomic force microscope calibration","NIST atomic force microscopy calibration guide traceability cantilever force official","AFM safety probe sample damage standard operating procedure university","BLS Occupational Employment Wage Statistics electrical engineers 2025 median annual wage","BLS software developers median annual wage May 2024 official","NI hardware in the loop CompactRIO price official 2026","\"High speed atomic force microscopy enabled by a sample profile estimator\" DOI","\"Control of an atomic force microscopy probe during nano-manipulation\" DOI","\"AFM-based nanomanipulator with haptic interface\" 2006 PDF","site:edu AFM nanomanipulation blind force feedback haptic","site:ac.uk AFM nanomanipulation force feedback haptic","AFM nanomanipulation real-time force feedback university lab","\"Real-time State Estimation and Fault Detection\" AFM nanomanipulation","\"Real-time state estimation\" \"AFM\" \"fault detection\" nanomanipulation DOI"],"sources":[{"source_id":"S1","title":"Application Note: Quantitative Mechanical Property Mapping at the Nanoscale with PeakForce QNM","publisher":"Bruker Corporation","url":"https://www.bruker.com/de/products-and-solutions/microscopes/materials-afm/resource-library/an-128-quantitative-mechanical-property-mapping-at-the-nanoscale-with-peakforce-qnm.html","source_class":"COMMERCIAL_FIRST_PARTY","publication_date":"NOT_STATED","accessed_at":"2026-08-03","claims_supported":["Lateral and normal tip-sample forces can damage the sample or fracture the probe and can reduce measurement resolution.","PeakForce Tapping and ScanAsyst already control force and adjust scanning parameters in real time to protect probes and samples.","The commercial method analyzes parasitic deflection patterns against cantilever resonance, modulation harmonics, and other actuation sources, extracts an interaction signature, and uses it for instantaneous feedback.","Bruker is an identifiable potential product-level adopter and an incumbent supplier already investing in this problem."]},{"source_id":"S2","title":"Development of Augmented Reality System for AFM-Based Nanomanipulation","publisher":"Cardiff Metropolitan University Research Explorer; article published in IEEE/ASME Transactions on Mechatronics","url":"https://pure.cardiffmet.ac.uk/en/publications/development-of-augmented-reality-system-for-afm-based-nanomanipul/","source_class":"PRIMARY_RESEARCH","publication_date":"2004-06-30","accessed_at":"2026-08-03","claims_supported":["Lack of real-time visual feedback hindered AFM nanomanipulation.","A prior experimental system combined model-updated visual feedback with real-time tip-sample force feedback for nanolithography and nanoparticle manipulation.","Operators are an identifiable user group with a documented need for timely interaction evidence."]},{"source_id":"S3","title":"High Speed Atomic Force Microscopy Enabled by a Sample Profile Estimator","publisher":"AIP Publishing; indexed by U.S. National Library of Medicine","url":"https://pubmed.ncbi.nlm.nih.gov/23825804/","source_class":"PRIMARY_RESEARCH","publication_date":"2013-05-31","accessed_at":"2026-08-03","claims_supported":["A model-based AFM estimator was experimentally applied to a typical commercial instrument with little or no hardware modification beyond sampling the cantilever signal.","The estimator produced more than an order-of-magnitude imaging-rate improvement and illustrates that model-relative information can be recovered beyond the ordinary vertical-loop bandwidth.","The work is close prior art for deriving decision-relevant surface information from cantilever observations through estimation."]},{"source_id":"S4","title":"Real-Time Estimation of the Tip-Sample Interactions in Tapping Mode Atomic Force Microscopy With a Regularized Kalman Filter","publisher":"Delft University of Technology Research Portal; article published by IEEE","url":"https://research.tudelft.nl/en/publications/real-time-estimation-of-the-tip-sample-interactions-in-tapping-mo/","source_class":"PRIMARY_RESEARCH","publication_date":"2020","accessed_at":"2026-08-03","claims_supported":["Accurate real-time tip-sample force estimation is impeded by propagation delay and non-unique input-output relationships.","A regularized Kalman input observer was demonstrated in simulation and experiments with error of a few percent and delay on the order of one sample for a wide-band probe.","Real-time unknown-interaction estimation for closed-loop AFM control is substantial prior art and also establishes a fundamental identifiability and latency limit."]},{"source_id":"S5","title":"Real-time State Estimation and Fault Detection for Controlling Atomic Force Microscope Based Nano Manipualtion","publisher":"International Federation of Automatic Control / Elsevier","url":"https://www.sciencedirect.com/science/article/pii/S1474667016402776","source_class":"PRIMARY_RESEARCH","publication_date":"2008-07-06","accessed_at":"2026-08-03","claims_supported":["AFM nanomanipulation was reported to lack real-time visual feedback, while environmental uncertainty could make model-based displays incorrect and cause manipulation failure.","A three-level state-estimation and fault-detection strategy detected and corrected incorrect model-based feedback online.","Experimental results reported increased AFM nanomanipulation efficiency, creating direct prior art for model-versus-observation fault handling in this use case."]},{"source_id":"S6","title":"ISO 11952:2019 — Surface Chemical Analysis — Scanning-Probe Microscopy — Determination of Geometric Quantities Using SPM: Calibration of Measuring Systems","publisher":"International Organization for Standardization","url":"https://www.iso.org/standard/67552.html","source_class":"STANDARD","publication_date":"2019-05","accessed_at":"2026-08-03","claims_supported":["SPM scan axes have formal characterization, calibration, acceptance, environmental-scope, temporal-stability, traceability, uncertainty, and reporting requirements.","Any deployed predictor must be scoped to calibrated axes and stated environmental and temporal validity conditions.","The standard concerns metrological calibration, not authorization of an autonomous probe-protection controller."]},{"source_id":"S7","title":"SRM 3461: An Accurate and Precise Force Calibration Artifact","publisher":"U.S. National Institute of Standards and Technology","url":"https://www.nist.gov/news-events/news/2023/01/srm-3461-accurate-and-precise-force-calibration-artifact","source_class":"GOVERNMENT_OR_REGULATOR","publication_date":"2023-01-18","accessed_at":"2026-08-03","claims_supported":["Accurate cantilever-stiffness calibration is needed to control forces applied to surfaces.","Common AFM cantilever calibration methods may have uncertainties of approximately plus or minus 10% to 30% with unknown accuracy.","Traceable force calibration is technically available, but rigorous methods may be complex, expensive, and time-consuming."]},{"source_id":"S8","title":"Occupational Employment and Wages — May 2025","publisher":"U.S. Bureau of Labor Statistics","url":"https://www.bls.gov/news.release/ocwage.htm","source_class":"GOVERNMENT_OR_REGULATOR","publication_date":"2026-05-15","accessed_at":"2026-08-03","claims_supported":["The May 2025 national mean annual wage was $119,640 for engineers and $129,100 for electrical and electronics engineers.","These wage data provide an official labor-cost anchor for 2026 resource-equivalent estimates; employer overhead, specialized expertise, equipment, facilities, and opportunity cost remain additional assumptions."]}],"problem_evidence":{"support":"STRONG","rationale":"The problem is visible, although the proposal overstates what has been quantified. Bruker documents probe/sample damage, actuation-related parasitic deflection, and commercial extraction of an interaction signature. Research documents delayed or absent feedback, model uncertainty causing failed nanomanipulation, and fundamental delay/non-identifiability in real-time force estimation. No source quantified how often commanded response specifically saturates dynamic range in the candidate's proposed operating scope.","source_ids":["S1","S2","S4","S5"]},"stakeholder_evidence":{"support":"MODERATE","rationale":"Instrument operators and AFM core laboratories are documented users needing timely force or visual feedback, while Bruker is an identifiable supplier already commercializing probe/sample protection and actuation-artifact separation. This is credible pull for the objective, but no source requests the exact efference-residual, synchronized-audit architecture or commits data, staff, funding, or firmware access.","source_ids":["S1","S2","S5"]},"prior_art":{"proximity":"SUBSTANTIAL_COLLISION","closest_analogues":[{"name":"Bruker PeakForce Tapping and ScanAsyst","similarity":"Commercial force control already protects tips and samples, analyzes parasitic deflection against known cantilever, modulation, and actuation artifacts, extracts the interaction signature, and controls instantaneously.","remaining_difference":"The candidate applies a command-specific forward predictor to nanomanipulation and adds an explicitly reconstructive residual stream, version synchronization, independent raw audits, protected bypasses, and offline-only model revision. The source does not document that entire governance package.","source_ids":["S1"]},{"name":"Regularized Kalman unknown-input observer for tapping-mode AFM","similarity":"Estimates otherwise unknown tip-sample force from measured cantilever dynamics in real time with sample-scale delay and experimentally reported few-percent error.","remaining_difference":"The candidate explicitly copies commanded actuation into the predictor and treats the resulting signed unexplained waveform as a protection and review message with full-signal fallback, rather than only estimating force for control.","source_ids":["S4"]},{"name":"Real-time state estimation and fault detection for AFM nanomanipulation","similarity":"Uses a model, real-time observations, fault detection, and online correction to prevent uncertain model-based feedback from causing failed nanomanipulation.","remaining_difference":"Its principal state is a model-based visual environment and its correction workflow, not a command-induced sensor-waveform residual with reconstruction, checksums, raw-channel audits, and frozen online learning.","source_ids":["S5"]},{"name":"High-speed AFM sample-profile estimator","similarity":"Extracts surface information from the cantilever signal using an estimator on a commercial AFM and demonstrates material performance improvement with minimal hardware modification.","remaining_difference":"It targets imaging rate rather than protection during manipulation and does not establish the candidate's consequence-weighted residual routing, independent safety bypass, or total-maintenance-cost claim.","source_ids":["S3"]},{"name":"Augmented-reality AFM nanomanipulation with force feedback","similarity":"Provides operators real-time force and model-updated visual evidence during AFM nanolithography and nanoparticle manipulation.","remaining_difference":"It does not suppress a predicted self-response or make a synchronized residual the reconstructive signal; it primarily addresses operator feedback and visualization.","source_ids":["S2"]}],"distinctive_claim_remaining":"For one fixed probe, mounting, environment, controller, manipulation mode, and command envelope, a command-conditioned predictor plus synchronized signed residual, protected full-signal bypass, and independent raw audit will preserve every baseline-detectable protected interaction while reducing net constrained-path occupancy or decision latency after prediction, synchronization, calibration, audit, fallback, storage, and review costs are counted. This is contrastive and falsifiable, but no web source establishes it.","confidence":"HIGH"},"implementation_evidence":{"support":"MODERATE","rationale":"Commercial actuation-artifact analysis and force control, experimental real-time Kalman force estimation, estimator deployment on commercial AFM hardware, and prior nanomanipulation fault detection make shadow implementation credible. Feasibility is limited by non-unique force inference, phase delay, probe/environment drift, calibration uncertainty, proprietary controller interfaces, and the untested interaction of audit, checksum, fallback, and latency requirements. No specific legal prohibition was found; authorization would ordinarily rest with the instrument owner, operator, laboratory safety owner, and OEM for firmware changes. The first step remains non-actuating and preserves existing interlocks.","source_ids":["S1","S3","S4","S5","S6","S7"]},"scores":{"meaningful_impact":{"score":4,"rationale":"On a 1–5 scale, preventing probe/sample damage and reducing delayed or blind manipulation failures could materially improve experimental yield and protect scarce samples, although prevalence and realized loss are unquantified.","source_ids":["S1","S2","S5"]},"stakeholder_pull":{"score":3,"rationale":"On a 1–5 scale, vendors and operators visibly value force control, artifact separation, and real-time feedback, but there is no commitment to this exact architecture.","source_ids":["S1","S2"]},"incremental_advantage":{"score":2,"rationale":"On a 1–5 scale, PeakForce artifact extraction, unknown-input Kalman estimation, and nanomanipulation fault detection already cover much of the functional value. Net improvement over those rivals remains wholly untested.","source_ids":["S1","S4","S5"]},"distinctiveness_plausibility":{"score":2,"rationale":"On a 1–5 scale, the integrated synchronization, audit, fallback, and offline-update package is not found as one disclosed implementation, but the sensing and protection core substantially collides with prior products and research.","source_ids":["S1","S3","S4","S5"]},"technical_implementability":{"score":4,"rationale":"On a 1–5 scale, relevant estimators and commercial feedback paths have been demonstrated, including on commercial AFMs. Identifiability, timing, calibration, and proprietary integration keep this below the highest rating.","source_ids":["S1","S3","S4","S7"]},"adoption_authority_feasibility":{"score":3,"rationale":"On a 1–5 scale, a laboratory instrument owner can authorize replay and non-actuating shadow work, while an OEM or controller owner can authorize product integration. No actual partner, interface permission, or safety sign-off is documented.","source_ids":["S1","S2","S6"]},"evidence_readiness":{"score":3,"rationale":"On a 1–5 scale, the proposal defines a bounded comparator study and the literature supplies relevant metrics and algorithms, but no accessible candidate-specific waveform corpus, labels, partner, or tested prototype was found.","source_ids":["S3","S4","S5"]},"safety_net_benefit":{"score":4,"rationale":"On a 1–5 scale, retaining force, saturation, travel, missing-sample, and controller-fault interlocks while testing only in shadow materially limits first-step risk. The proposed bypass and raw audits remain unverified implementations.","source_ids":["S1","S6","S7"]},"scalability":{"score":2,"rationale":"On a 1–5 scale, every probe, mounting, sample class, atmosphere, controller, and command envelope may require identification, calibration, validation, and maintenance; force-calibration uncertainty further limits easy transfer.","source_ids":["S6","S7"]}},"score_confidence":"MODERATE","costs":{"first_evidence":{"band_2026_usd":"50K_TO_250K","scope":"Pre-registration, data preparation, frozen predictor and comparator implementations, held-out replay, non-actuating hardware-in-the-loop fault injection, operator labeling, analysis, and safety review for one existing AFM configuration.","confidence":"MODERATE","assumptions":["An instrument and ordinary data-acquisition path already exist and do not need to be purchased.","Approximately 0.3–0.8 fully loaded engineer-years plus AFM operator and safety-owner time are required.","The BLS engineer wage is converted to a resource-equivalent rate with overhead and specialized-labor multipliers.","No proprietary OEM license or major controller replacement is required for shadow access."],"source_ids":["S7","S8"]},"initial_deployment_startup":{"band_2026_usd":"250K_TO_1M","scope":"One-site supervised shadow deployment followed, only after passing evidence, by validated integration with one mode, one instrument family, frozen interlocks, documentation, calibration workflow, cybersecurity review, and rollback testing.","confidence":"LOW","assumptions":["One to three fully loaded specialist-years are required across controls, embedded software, metrology, validation, and operator training.","Existing AFM and laboratory infrastructure are reused.","OEM interface access is available without a large licensing payment.","Traceable calibration and acceptance testing add material labor and facility time."],"source_ids":["S6","S7","S8"]},"operational_launch":{"band_2026_usd":"1M_TO_5M","scope":"Controlled product or multi-site launch for one instrument family, including firmware-quality implementation, independent verification, multiple probe/environment validations, service procedures, training, field monitoring, and support readiness.","confidence":"LOW","assumptions":["A small cross-functional team works for roughly one to two years.","Launch includes several validation sites but not broad support for all AFM modes or vendors.","Existing absolute-force and controller-fault safeguards remain unchanged and must be regression-tested.","No new AFM manufacturing line is included."],"source_ids":["S1","S6","S7","S8"]},"annual_recurring":{"band_2026_usd":"250K_TO_1M","scope":"Model and calibration governance for the launched scope, regression replay, audit review, drift monitoring, controlled updates, instrument support, training refresh, and incident investigation.","confidence":"LOW","assumptions":["One to four fully loaded technical staff equivalents support a limited installed base.","Calibration artifacts, probe consumption, compute, storage, and laboratory time are included as resource equivalents.","Expansion to new probes, modes, or environments is treated as new validation rather than routine maintenance."],"source_ids":["S6","S7","S8"]}},"verified_pipeline_gates":{"externally_supported_problem":{"status":"YES","reason":"Commercial and primary research sources independently document tip/sample damage, parasitic actuation-related signals, delayed feedback, uncertain model displays, and difficult real-time force inference.","source_ids":["S1","S2","S4","S5"]},"externally_credible_adopter_or_authorizer":{"status":"YES","reason":"Bruker is an identifiable product-level adopter already implementing related protection, while AFM instrument operators and laboratory owners are identifiable operational authorizers. This verifies credibility, not commitment.","source_ids":["S1","S2"]},"distinct_testable_incremental_claim":{"status":"YES","reason":"The remaining claim is net preservation of baseline-detectable protected interactions plus reduced constrained-path occupancy or latency using the full governed residual package against commercial force control, static compensation, and a strong input-observer comparator.","source_ids":["S1","S4","S5"]},"bounded_next_evidence_step":{"status":"YES","reason":"A one-configuration, frozen-model replay and non-actuating hardware-in-the-loop study with explicit comparators, protected event classes, costs, and falsifiers is bounded.","source_ids":["S3","S4","S5"]},"no_unresolved_safety_or_authority_stop":{"status":"YES","reason":"The proposed first step cannot actuate the probe, retains the existing controller and interlocks, and can be halted without changing the instrument. Live control would require a separate operator, safety-owner, and potentially OEM authorization.","source_ids":["S1","S6","S7"]},"credible_cost_scope_and_range":{"status":"UNCERTAIN","reason":"Labor-anchored broad bands and explicit scopes are credible as resource equivalents, but no site quote, OEM integration estimate, software-license price, instrument-access rate, or partner staffing plan was verified.","source_ids":["S7","S8"]}},"next_evidence_step":"With a named AFM laboratory or OEM partner, pre-register one non-actuating study limited to one probe, mounting, atmosphere, controller version, manipulation mode, and command envelope. Freeze the candidate predictor and thresholds. Split complete command-and-waveform records temporally, keeping the final regime as untouched holdout, and add hardware-in-the-loop injections for contact onset, adhesion change, slip, particle displacement, surface step, benign ringing, timing offsets, dropped samples, checksum mismatch, calibration expiry, saturation, and envelope violation. Compare (A) the unchanged full-waveform controller and absolute interlocks, (B) static compensation or filtering, (C) the strongest regularized Kalman unknown-input observer, and (D) the candidate governed residual architecture under the same compute and latency ceiling. Measure protected-event recall, time ordering, 99th-percentile safe-state request latency, reconstruction error, residual structure, false escalation, heartbeat and fallback behavior, constrained-path occupancy, compute jitter, audit volume, storage, and operator-review time. Falsify the incremental claim if any baseline-detectable protected event is over-cancelled or reordered, candidate 99th-percentile safe-state latency is worse than the strongest comparator, reconstruction exceeds the preregistered decision-relevant tolerance, a required fallback fails, or net constrained-path savings are nonpositive after all maintenance and safeguard costs. A pass authorizes only a supervised live shadow run, not residual control.","blocking_evidence":["No configuration-specific measurement shows that commanded self-response materially consumes sensor dynamic range or control attention during the selected nanomanipulation task.","No comparative replay or hardware-in-the-loop results show preservation of protected interaction classes against PeakForce-like force control, static compensation, and a regularized unknown-input observer.","No named laboratory or OEM has committed raw command/waveform data, instrument time, proprietary interface access, staff, or authorization.","The real-time timing, jitter, reconstruction, checksum, heartbeat, raw-audit, and fallback paths have not been implemented or independently tested together.","No site-specific equipment, licensing, integration, calibration, validation, or recurring-support quote supports the cost bands.","Legal and contractual restrictions on modifying or reading proprietary AFM controller interfaces were not established from the eight-source search."],"research_disposition":"PARTNERED_RESEARCH_PROGRAM","world_novelty_boundary":"The search found substantial functional collision in commercial PeakForce artifact extraction and protection, real-time Kalman tip-sample input estimation, high-speed AFM estimation, and AFM-nanomanipulation state-estimation/fault-detection systems. It did not find one source disclosing the complete command-conditioned, synchronized, reconstructive residual architecture with independent raw audits, protected bypasses, and offline-only updates. This bounded search does not measure world novelty, patentability, freedom to operate, market size, or realized impact.","arm":"COMPLETE_PROPOSAL_PORTFOLIO","candidate_version":0,"controller_recommendation":{"action":"STOP_EMPIRICAL_RESEARCH_NEEDED","repairable":false,"material_progress_observed":true,"progress_targets":["Secure a named AFM laboratory or OEM partner with authority, data access, instrument time, and a written shadow-test scope.","Produce configuration-specific evidence that command-induced response obscures consequential external interactions under the stated latency or dynamic-range constraint.","Complete the preregistered four-way replay and hardware-in-the-loop comparison and publish protected-event, reconstruction, latency, fallback, and total-cost results.","Demonstrate that calibration uncertainty, timing error, probe wear, environmental drift, and command-correlated external physics do not cause protected-signal over-cancellation.","Replace resource-equivalent cost assumptions with partner staffing estimates, instrument-access rates, OEM interface terms, and calibration and support quotes."],"reason":"Bounded web research verifies a meaningful problem, credible adopters, technical plausibility, and a testable claim, but also reveals substantial collision with commercial and research practice. Whether the remaining governed-residual package preserves interaction evidence and provides net advantage can only be answered with proprietary waveform data, instrument access, and replay or hardware-in-the-loop testing. Under the controller rule, that requires an empirical-research stop rather than further bounded web research."},"proposal_index":2}