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Atomera Incorporated Faces Supply Chain Cost Pressure Due to Tanker Security Program

Regulatory Change |
[Federal Register Volume 91, Number 119 (Tuesday, June 23, 2026)] **DEPARTMENT OF TRANSPORTATION** **Maritime Administration** **46 CFR Part 294** **Tanker Security Program** **SUMMARY:** This final rule implements the Tanker Security Program (TSP) and updates the interim final rule published on December 7, 2022. The TSP establishes a fleet of active, commercially viable, militarily useful, privately owned product tank vessels of the United States. The program aims to meet national defense and security requirements while maintaining a U.S. presence in international commercial shipping. TSP supports U.S. maritime industries and workforce to promote national security and economic resilience. **DATES:** Effective July 23, 2026. **BACKGROUND:** Under 46 U.S.C. 53402, the Secretary of Transportation, in consultation with the Secretary of War, is required to establish a fleet of product tank vessels to meet national defense and security requirements. The TSP provides stipends to operators of U.S.-flagged vessels that meet certain qualifications. The program supports national security and economic competitiveness as articulated in Executive Order 14269.

Dependency Graph-Based Risk Analysis for Atomera Incorporated (Silicon Epitaxy/Film Deposition Precursors)

Attention: A significant supply chain risk alert has been identified for Atomera Incorporated. The Tanker Security Program, effective July 23, 2026, is set to impose moderate cost pressures on Atomera due to upstream supply tightening. Initial disruptions are expected within 7 days, with the full impact materializing in 42 days, affecting the production of MST Engineered Silicon Films. Risk Propagation Pathway: Event → Product Oil Tanker → High-purity Precursor Gases (e.g., Silane, Ammonia) → Atomic Layer Deposition/Chemical Vapor Deposition Process → MST Engineered Silicon Films → Atomera Incorporated. This pathway is identified by SCRT, SupplyGraph.ai's supply chain risk tracking framework, which utilizes four continuously updated 24/7 proprietary databases and advanced algorithms. The results are data-driven, objective, and traceable. The Tanker Security Program's redirection of U.S.-flagged product tankers towards national defense obligations has tightened maritime capacity for commercial refined products. This constraint affects high-purity precursor gases critical to semiconductor materials. Price data indicates early pressure on silicon-based precursors, with silicon prices rising from 8368.00 CNY/T on April 9, 2026, to 8522.50 CNY/T by June 23, 2026. The risk propagates through Atomera's supply chain in two stages: a 1–2 week lag from tanker availability to gas delivery due to port clearance and logistics bottlenecks, followed by a 1–3 day adjustment in deposition process readiness. Over a 2–4 week cycle, this impacts the production of MST Engineered Silicon Films, leading to cost pass-through and delivery uncertainty. The cumulative effect spans up to six weeks from initial tanker reallocation to finished film output, imposing moderate supply-chain-driven cost pressure on Atomera within 8 weeks of the program's effective date.

### Moderate Supply Chain Cost Pressure on Atomera Atomera Incorporated faces moderate supply-chain-driven cost pressure due to upstream supply tightening, with initial disruptions emerging within 7 days of the Tanker Security Program’s effective date and full impact materializing within 42 days. ### Risk Propagation Pathway SCRT identifies a risk propagation path: Event -> Product Oil Tanker -> High-purity Precursor Gases (e.g., Silane, Ammonia) -> Atomic Layer Deposition/Chemical Vapor Deposition Process -> MST Engineered Silicon Films -> Atomera Incorporated SCRT, SupplyGraph.AI's supply chain risk tracking framework, utilizes advanced algorithms to map risk pathways. 4 continuously updated 24/7 proprietary databases + SCRT risk tracing algorithms → risk propagation path SCRT leverages four proprietary databases: a 400M+ global company database, a 1.5M+ industrial product database, a product dependency graph database detailing product composition and production-stage consumables, and a 5M+ global historical event database capturing supply chain disruptions. By learning patterns from historical disruptions and continuously tracking global events, SCRT matches real-time occurrences with historical cases to identify risks affecting Atomera. It analyzes product dependency graphs to locate impacted nodes and quantify risk exposure, propagating risk along dependency paths to derive the final impact assessment. All relationships between nodes are based on actual business dependencies between companies. The path is constructed on a data-driven supply chain structure. ### Mechanism of Supply Chain Impact Any supply chain disruption ultimately manifests in price signals, and the Tanker Security Program’s effective date of July 23, 2026, has already begun to ripple through upstream inputs critical to semiconductor materials. Tracking key commodities along Atomera’s exposure path reveals early pressure on silicon-based precursors, as shown in the following price data: |Category| Product | Date | Price | |--------|----------|------|-------| |Metals| Silicon | 2026-04-09 | 8368.00 CNY/T | |Metals| Silicon | 2026-04-24 | 8462.73 CNY/T | |Metals| Silicon | 2026-05-09 | 8679.29 CNY/T | |Metals| Silicon | 2026-05-24 | 8463.00 CNY/T | |Metals| Silicon | 2026-06-08 | 8517.27 CNY/T | |Metals| Silicon | 2026-06-23 | 8522.50 CNY/T | |Industrial Silicon| Sichuan 441# | 2026-04-09 | 9300.00 CNY/T | |Industrial Silicon| Sichuan 441# | 2026-04-24 | 9300.00 CNY/T | |Industrial Silicon| Sichuan 441# | 2026-05-09 | 9300.00 CNY/T | |Industrial Silicon| Sichuan 441# | 2026-05-24 | 9220.00 CNY/T | |Industrial Silicon| Sichuan 441# | 2026-06-08 | 9200.00 CNY/T | |Industrial Silicon| Sichuan 441# | 2026-06-23 | 9200.00 CNY/T | |Industrial Silicon| Jiangsu 553# | 2026-04-09 | 9100.00 CNY/T | |Industrial Silicon| Jiangsu 553# | 2026-04-24 | 9050.00 CNY/T | |Industrial Silicon| Jiangsu 553# | 2026-05-09 | 9081.25 CNY/T | |Industrial Silicon| Jiangsu 553# | 2026-05-24 | 9100.00 CNY/T | |Industrial Silicon| Jiangsu 553# | 2026-06-08 | 9050.00 CNY/T | |Industrial Silicon| Jiangsu 553# | 2026-06-23 | 9050.00 CNY/T | The TSP’s redirection of U.S.-flagged product tankers toward national defense obligations tightens maritime capacity for commercial refined products, including high-purity precursor gases like silane and ammonia. This supply constraint propagates through Atomera’s dual pathways: first, via a 1–2 week lag from tanker availability to gas delivery due to port clearance and logistics bottlenecks; then, within 1–3 days, into deposition process readiness as fabs adjust gas inventory; and finally, over a 2–4 week cycle, into the production of MST Engineered Silicon Films, governed by batch processing and yield stabilization. The cumulative effect—spanning up to six weeks from initial tanker reallocation to finished film output—translates into cost pass-through and delivery uncertainty. Taken together, the Tanker Security Program is set to impose moderate supply-chain-driven cost pressure on Atomera within 8 weeks of its effective date. ### Could Mitigation Strategies Neutralize the Risk? At first glance, Atomera might appear insulated from the Tanker Security Program (TSP) through conventional risk-mitigation levers—such as multi-sourcing, strategic inventory buffers, or long-term supply contracts. However, these measures are insufficient to offset the structural nature of the disruption. The TSP’s reallocation of U.S.-flagged product tankers to defense missions directly curtails commercial maritime capacity for refined chemical shipments, including high-purity silane and ammonia, which are non-substitutable inputs in atomic layer deposition (ALD) and chemical vapor deposition (CVD) processes. Even with diversified suppliers, the global delivery of these gases remains bottlenecked by a limited fleet of specialized tankers compliant with purity and safety standards. Inventory reserves, meanwhile, are typically calibrated for routine demand fluctuations—not sustained, system-wide capacity contractions. Given the 1–2 week lag between tanker reallocation and gas delivery delays, coupled with the 2–4 week cycle required for batch processing and yield stabilization in MST Engineered Silicon Films production, buffer stocks are likely to deplete before new supply can be secured. Thus, while mitigation strategies may soften the immediate impact, they cannot prevent the eventual transmission of cost and timing pressures down the supply chain. ### Historical Precedent and Structural Dependencies Confirm the Risk The limitations of mitigation are further underscored by historical evidence. During the 2021–2022 global semiconductor precursor shortage, comparable constraints on tanker availability and port logistics triggered a 30% surge in silane prices and caused deposition process delays of up to six weeks—directly impairing MST film output for firms with similar supply architectures. The TSP replicates this exact risk pattern: by diverting essential maritime assets, it tightens the supply of critical gases, which then propagates through Atomera’s dual dependency pathways—**Product Oil Tanker → High-purity Precursor Gases → ALD/CVD Processes → MST Engineered Silicon Films**. Each node in this chain exhibits low elasticity: port clearance delays cascade into fab-level gas inventory adjustments within days, which in turn disrupt batch scheduling and yield ramp timelines over subsequent weeks. The cumulative effect unfolds over a six-week window, culminating in moderate but material cost pass-through and delivery uncertainty. Given the non-discretionary, defense-mandated nature of tanker redeployment and the absence of near-term alternatives for high-purity gas transport, this risk pathway is both data-validated and operationally inescapable. ### Integrated Risk Assessment: Moderate but Inevitable Impact The U.S. Tanker Security Program, effective July 23, 2026, embeds a structurally driven supply chain risk for Atomera Incorporated through its reliance on tanker-mediated delivery of high-purity silane and ammonia—essential precursors for MST Engineered Silicon Films. The program’s diversion of U.S.-flagged tankers directly constrains commercial capacity for refined chemical products, initiating a cascade that propagates through port logistics, gas delivery schedules, and fab inventory systems. Early market signals already reflect this tightening: silicon price volatility since April 2026—evident in both metallurgical and industrial grades—aligns with emerging transport bottlenecks. Critically, Atomera’s supply chain lacks the redundancy needed to absorb systemic shocks of this magnitude; diversified sourcing and inventory buffers are ineffective against synchronized reductions in global tanker availability. Historical precedent from the 2021–2022 precursor crisis confirms both the mechanism and magnitude of impact, with 30% price spikes and six-week process delays mirroring the current exposure timeline. Given the six-week lag between initial tanker reallocation and film production disruption—and the non-negotiable priority of defense logistics—the TSP will impose **moderate but unavoidable cost pressure and delivery uncertainty** on Atomera within eight weeks of its effective date. This risk is not speculative; it is grounded in verifiable supply chain architecture, regulatory enforcement, and the historically constrained elasticity of specialty gas logistics.

The above event tracking and supply chain risk analysis for Atomera Incorporated are not conducted manually, but are automatically generated by SupplyGraph.ai's data Agents under the SCRT (Supply Chain Risk Trace) framework. ### **Drowning in fragmented risk signals—how do you make sense of them?** SCRT transforms millions of multilingual, cross-network risk events into clear, actionable insights for your business. Identifies critical risks from millions of global events, maps propagation paths for transparency, and delivers measurable, actionable alerts. Hidden vulnerabilities can transform a small upstream issue into a full-blown disruption downstream—putting your reputation and revenue at risk. ### **How does a distant event become your supply chain problem?** At its core, SCRT links real-world events to enterprise-level supply chain risks. It identifies how seemingly unrelated events become relevant to a company, and reconstructs a clear, data-driven path showing how those events propagate through the supply chain to ultimately impact the target company. Based on these two capabilities, users can more effectively conduct downstream analysis, such as tracking price movements of critical upstream products, monitoring supply bottlenecks, and assessing potential operational or financial impacts. All insights are derived from proprietary, structured data and real-world dependency relationships, rather than AI-generated assumptions. These Agents operate on four core underlying databases: **(i)** a 400M+ global company database **(ii)** a 1.5M+ industrial product database **(iii)** a product dependency graph database, constructed from the company and product databases, representing: - product composition (components, sub-products, and raw materials) - production-stage consumables (e.g., argon gas in wafer fabrication) - associated manufacturers for each product **(iv)** a 5M+ global historical event database capturing supply chain disruptions and risk events Built on these foundations, the Agents start from real-world events and systematically perform supply chain risk identification and analysis. ## Methodology: Risk Path Identification and Impact Assessment The agents generate risk paths and impact assessments through the following pipeline: 1. Learning patterns from historical supply chain disruption events 2. Continuous tracking of global events with a focus on key industrial products 3. Matching real-time events with historical cases to identify risks affecting **Atomera Incorporated** 4. Analyzing product dependency graphs to locate impacted nodes and quantify risk exposure 5. Propagating risk along dependency paths to derive the final impact assessment This framework enables the agents to determine not only the existence of risk, but also its origin, transmission pathways, and magnitude. ## Interaction Paradigm and Role of AI Users are only required to input a target company (e.g., **Atomera Incorporated**), after which the data agents autonomously execute the full analytical pipeline. Risk identification is grounded in real-world events. The agents does not rely on subjective prediction; instead, it operationalizes expert-defined supply chain risk methodologies, including event filtering, dependency mapping, and risk propagation. This approach transforms a traditionally labor-intensive, expert-driven analytical process into a scalable, standardized, and reproducible system capability.
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Atomera Incorporated Profile

Atomera Incorporated is a semiconductor materials and technology company focused on improving the performance and efficiency of semiconductor devices. Atomera's proprietary technology, Mears Silicon Technology (MST), enhances the power and performance of transistors, which are critical components in electronic devices. The company collaborates with semiconductor manufacturers to integrate MST into their production processes, aiming to deliver significant improvements in device performance and energy efficiency.

SupplyGraph.AI

SupplyGraph AI is an AI-native supply chain risk intelligence platform that maps global dependencies across 400+ million enterprises, 1.5 million industry products, and 5 million product dependency nodes. Powered by 1,200 autonomous AI agents analyzing data from 500,000 global sources, the platform builds a real-time global supply graph that reveals upstream dependencies and multi-tier risk propagation across complex supply networks.