Electronic Materials Engineering Strategies

I just came across something unexpected, as engineers at the University of Glasgow have developed a circuit board using chocolate as a biodegradable substrate, with zinc replacing copper in the printed circuits.   It sounds like a curiosity, but there's a practical reason it caught my attention. Copper is essential to electronics manufacturing, and the supply gap is expected to grow by 24% by 2040. Finding alternatives isn't just about sustainability, it's increasingly about resilience.   What I find promising is that these biodegradable boards are already powering LEDs and temperature sensors at performance levels comparable to traditional methods. To me, this isn't just a lab experiment, it's something worth watching.   Across the electronics industry, I see growing interest in materials that reduce e-waste and ease pressure on critical supply chains. This work fits that pattern. It also opens the door to other biodegradable substrates, paper, bioplastics, and materials we haven't yet considered.   The future of our industry depends as much on materials breakthroughs as it does on design. I'm curious what others are seeing. Where else is unconventional thinking reshaping how we source and build? https://bit.ly/4amfAjN

180 Wh/kg Sodium-Ion Batteries: Breaking the 160 Wh/kg Commercial Bottleneck from an Electronic-Structure Perspective Sodium-ion batteries (SIBs) are widely regarded as a cost-effective, resource-abundant alternative for large-scale energy storage. However, today’s commercialized SIB cells remain largely capped at ~160 Wh/kg. The fundamental constraint is not process maturity alone, but the intrinsic instability of layered oxide cathodes under deep desodiation: pushing energy density higher typically comes at the expense of cycle life. A recent study published in ACS Energy Letters (Dec. 15, 2025) by Academician Chen Liquan and Prof. Hu Yongsheng / Prof. Rong Xiaohui (Institute of Physics, CAS) provides a compelling pathway to break this trade-off. Instead of relying on conventional “doping” or high-entropy concepts, the team introduces a “local electron density engineering” strategy grounded in reductive condensed-matter physics. The core insight is clear: at high voltages, high-valence transition metals (like Ni⁴⁺) aggressively extract electron density from lattice oxygen, weakening O–O electrostatic repulsion and triggering irreversible structural collapse. The proposed solution is to pre-build an electron-rich oxygen framework that can act as an “electronic buffer” during deep Na extraction. This is achieved by incorporating ions with stable electronic configurations—d¹⁰ Zn²⁺ and d⁰ Ti⁴⁺—which form highly ionic bonds with oxygen and localize bonding electrons around O anions. In parallel, Ca²⁺ is introduced into the Na layer as an “ionic pillar,” reinforcing interlayer mechanical stability. The resulting single-crystal O3 cathode, Na₀.₉₆Ca₀.₀₂Cu₀.₀₃₈Zn₀.₀₅₃Ni₀.₄₀₉Mn₀.₃₁₅Ti₀.₁₈₅O₂ (CaCZNMT-2), exhibits only ~4% volume change under deep desodiation and a smooth, solid-solution-like phase evolution. Electrochemically, the material delivers ~175 mAh/g with an average discharge voltage of 3.22V. More importantly for commercialization, kilogram-scale material was assembled into 26700 cylindrical full cells (hard carbon anode, no pre-sodiation), achieving 181.2 Wh/kg (gravimetric) and >350 Wh/L, with ~80% capacity retention after 1000 cycles at 1C. The performance is fully compatible with existing BMS architectures, underscoring its “plug-and-play” potential. For an industry long constrained by the ~160 Wh/kg ceiling, this work demonstrates that the next leap in SIB energy density will come from electronic-structure design, not incremental compositional tweaks. It establishes a new design paradigm for high-energy, long-life sodium-ion cathodes—and brings SIBs materially closer to practical competition with LFP in both stationary storage and selected mobility applications. Reference: Wang et al., “Na-Ion Battery with 180 Wh/kg and Long Cycle Life,” ACS Energy Letters (2025).

Key Factors to Consider in PCB Material Selection: 1. Electrical Properties: - Dielectric Constant (Dk): A lower Dk value is preferred for high-frequency applications. - Loss Tangent (Df): A lower Df is essential for minimizing signal loss in RF circuits. - Insulation Resistance: Insulation resistance ensures minimal leakage current, improving reliability. 2. Thermal Properties: - Thermal Conductivity: Efficient heat dissipation is critical for power-intensive applications. Materials like MCPCBs offer excellent thermal conductivity. - Glass Transition Temperature (Tg): Materials with higher Tg can withstand higher operating temperatures, making them suitable for harsh environments. 3. Mechanical Properties: - Flexibility: Flexible PCBs (like those made from polyimide) are ideal for wearable electronics and compact designs. - Mechanical Strength: Consider materials like FR4 for products requiring sturdy, durable PCBs. 4. Environmental Factors: - Moisture Resistance: Materials with low moisture absorption (like FR4) are preferred for environments with high humidity. - Chemical Resistance: Certain applications (like aerospace or military) require chemical-resistant materials such as polyimide. Performance Needs by Application: 1. Consumer Electronics: Material: FR4 Reason: Reliable, cost-effective, and suitable for general-purpose electronics. 2. High-Frequency RF Circuits: Material: PTFE, Rogers Reason: Low Dk and Df for minimal signal loss at high frequencies. 3. LED & Power Electronics: Material: Metal Core PCB (MCPCB) Reason: Excellent thermal management to dissipate heat from power components. 4. Wearable Devices: Material: Flexible PCBs (Polyimide) Reason: Flexibility for compact designs and easy integration into small spaces. 5. Aerospace & Military: Material: High-TG, Polyimide Reason: High temperature and chemical resistance for extreme environments. The right PCB material is essential for ensuring that your product performs optimally. From FR4 for cost-effective designs to metal core PCBs for power management, understanding material properties and selecting accordingly is key. Whether you’re designing consumer electronics, RF circuits, or wearables, this article can help you make the right decision.

⚙️ Better Calendering Strategies to Mitigate Problems in Li-Ion Battery Manufacturing In Li-ion battery manufacturing, calendering is more than a densification step. It is a microstructural engineering process that directly governs cell performance, lifetime, and safety. Challenge: achieving an optimal balance between mechanical compression, porosity, adhesion, and electronic–ionic pathways. Improper calendering leads to issues: • Electrode cracking and delamination • Non-uniform porosity and tortuosity • Poor electrolyte wetting and Li⁺ transport limitation • Inconsistent coating density → local current hotspots → accelerated degradation 🔬 Key Strategies for Improved Calendering Control 1️⃣ Electrode Compressibility Mapping Each active material system (e.g., LFP, NMC811, Si–C composites) exhibits distinct compressibility and elastic recovery behavior. • Perform compression–recovery profiling to understand the stress–strain relationship of the dried electrode. • Adjust nip pressure and line speed accordingly to avoid microstructural collapse. 2️⃣ Controlled Thermal Calendering Moderate heating (40–70 °C) enhances binder viscoelasticity and particle adhesion. However, excessive temperature can cause binder migration, pore closure, or loss of conductive network integrity. → Optimal temperature–pressure coupling maintains uniform particle–binder distribution while improving electrode cohesion. 3️⃣ Roller Parallelism and Real-Time Feedback Even slight roller misalignment causes non-uniform densification. In-line laser thickness and density sensors enable closed-loop feedback control to maintain consistent calender gap and pressure. 4️⃣ Roller Surface Engineering Micro-textured or patterned rollers reduce slippage and distribute shear more uniformly, especially for high-loading or thick electrodes. This also minimizes particle fracture and preserves electronic pathways. 5️⃣ Data-Driven Porosity Optimization Target porosity should be defined functionally, not arbitrarily. For example, high-energy cathodes require 25–30% porosity for ionic transport, while fast-charging anodes may demand ~40%. Advanced X-ray CT and FIB–SEM mapping can correlate calendering pressure to microstructural anisotropy and tortuosity. 🧩 The Future: Intelligent Calendering As electrode architectures become thicker, and dry or solvent-free coating processes emerge, calendering will evolve from a simple mechanical step to an intelligent, adaptive compression process — integrating: • Machine learning–based pressure prediction • In-line porosity and modulus mapping • Real-time feedback on density uniformity Ultimately, the calendering line will become a closed-loop microstructure engineering unit, ensuring consistent electrochemical performance from lab to gigafactory scale. #BatteryManufacturing #LithiumIonBatteries #Calendering #ElectrodeDesign #BatteryEngineering #SolidStateBatteries #MaterialsScience #EnergyStorage

We have recently published two papers that dissect and provide solutions to the long-standing Q-factor limitations in piezo-on-Si resonators. Our work identifies two distinct, dominant loss mechanisms and demonstrates two engineering pathways to overcome them. 1. The TED Limit (JMEMS Paper): We identified that Thermoelastic Damping (TED) is a fundamental performance limit for extensional modes, but is negligible for isochoric (shear) modes. Our JMEMS paper, led by Shaurya Singh Dabas, Ph.D. details this finding. Solution: By using mode engineering to implement a Cross-sectional Lamé (X-Lamé) shear mode—combined with phononic crystal tethers to suppress anchor loss—we effectively bypass TED. Result: This approach yields an f.Q product of 1.38 x 10¹³ (Q=179k at 77 MHz), demonstrating a path to the fundamental Akhiezer limit of silicon. 2. The Intergranular Limit (Adv. Elec. Mat. Paper): For in-plane (extensional) modes, a key problem is high intergranular dissipation caused by the poor a- and b-axis crystallinity of standard polycrystalline (sputtered) films. Solution: Our Advanced Electronic Materials paper, led by Shubham Mondal and Zetian Mi, demonstrates that MBE-grown single-crystal AlScN achieves superior in-plane crystallinity. Result: This material-level solution dramatically reduces intergranular loss, enabling an extensional mode resonator with a Q of ~97k and an f.Q of 6.86 x 10¹²—nearly an order-of-magnitude improvement for this mode type. Together, these works show how to achieve the best of both worlds: the ultra-high Q of silicon and the strong electromechanical coupling of piezoelectrics. Our findings on the critical role of TED align with earlier insights on its effect in contour-mode resonators, such as the 2017 work by Jeronimo Segovia-Fernandez and Gianluca Piazza. The papers can be found here: 📄 JMEMS: "Approaching the Akhiezer Limit of Quality Factor in AlScN-on-Silicon Bulk Acoustic Wave Resonators" https://lnkd.in/eCmUc9SH 📄 Adv. Electronic Mat.: "MBE-Grown ScAlN-on-Si Films: Enhancing In-Plane Crystallinity for Extensional Mode BAW Resonators" https://lnkd.in/eV3C_HvC This work was supported by the Defense Advanced Research Projects Agency (DARPA) H6 program. We also highlight the critical contributions of our collaborators who made this work possible, especially the labs of Honggyu Kim and BAIBHAB CHATTERJEE. #MEMS #Resonators #Piezoelectric #Qfactor #Physics #TED #AkhiezerLimit #Semiconductors #Quantum #Sensors

Decades of materials intuition are already written down. We just haven't been treating them as data. In materials science, a huge amount of knowledge lives in text: journal articles, internal reports, lab notebooks, and design reviews. Until recently, that knowledge was only weakly searchable, but not systematically exploitable. Modern language models make it possible to mine literature for candidate materials and extract properties and relationships at scale. When coupled with efficient computational and experimental validation, this turns historical knowledge into something actionable. I'm increasingly seeing teams use this kind of workflow as a materials discovery tool. A recent paper by Jean Anne Incorvia et al. provides a concrete example of how this works. The authors introduce #LEAD (Literature Enhanced Ab Initio Discovery), a framework that trains on over 1.1 million scientific abstracts to guide materials selection before committing to expensive first-principles calculations. Their process: 🔹A Word2Vec-based semantic analysis was used to identify materials statistically associated with target performance concepts across the literature 🔹A parallel generative model and contextual filtering (combining LLaMA 3 with MaterialsBERT) proposed and refined chemically plausible candidates 🔹DFT-based simulations were then applied only to the down-selected candidates emerging from these two text-driven pathways While the paper focused on electronic materials, the workflow itself is generalizable. It applies wherever the materials space is large and candidate selection has traditionally relied on expert intuition. The approach could become even more powerful when extended to full-text articles or internal corporate literature, provided that appropriate licensing arrangements and data access can be made. 📄 LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions, Advanced Materials, December 16, 2025 🔗 https://lnkd.in/ePvmYhEP

🔋 Exploring the Future of Solid-State Lithium-Ion Batteries & Printable Nanoelectronics The next frontier of energy storage is rapidly evolving — and solid-state lithium-ion batteries are at the center of this transformation. Unlike conventional lithium-ion batteries with liquid electrolytes, solid-state systems offer: ✅ Improved safety (non-flammable electrolytes) ✅ Superior thermal and chemical stability ✅ Higher energy density potential ✅ Simplified packaging and system integration These advantages make them strong candidates for next-generation EVs, grid storage, and high-performance electronics. 🧪 Key Solid Electrolyte Categories 1️⃣ Inorganic Crystalline (e.g., LiSICON-type materials) • High ionic conductivity • Strong structural stability • Processing and interface challenges 2️⃣ Inorganic Glass (e.g., LiPON) • Excellent thin-film compatibility • Good stability • Higher production cost 3️⃣ Organic Polymers • Flexible and lightweight • Easier processing • Lower room-temperature ionic conductivity Each class presents trade-offs between conductivity, manufacturability, cost, and scalability — but the innovation momentum is undeniable. 🧬 Graphene Coatings & Boron Nitride Ionogels Advanced interfacial engineering is accelerating performance improvements: • Graphene coatings enhance electrical conductivity and structural integrity • Boron nitride ionogels improve thermal management and safety • Both contribute to higher capacity retention, longer cycle life, and faster charge rates These materials are particularly promising for EV platforms and high-demand energy storage systems. 🖨️ Printable Nanoelectronics: A Parallel Revolution Nanomaterial-based inks are redefining electronics manufacturing: • Mechanical flexibility • High charge mobility • Environmental stability • Compatibility with large-area, low-cost printing processes Applications range from biomedical sensors to wearable electronics and flexible energy devices. 🌱 Scalability is the Real Breakthrough Solution processing and printable manufacturing techniques are reducing barriers to commercialization. Cost efficiency + scalable production = faster industrial adoption. The convergence of advanced materials, interfacial engineering, and scalable manufacturing is shaping the future of both energy storage and electronics. The future isn’t coming — it’s being engineered now. #Innovation #BatteryTechnology #SolidStateBatteries #Nanoelectronics #EnergyStorage #AdvancedMaterials #Sustainability

A recent open-access review in RSC Advances (2025) offers a deep dive into the electrochemical mechanisms that underpin silicon-based anode behavior and the strategies that are finally moving this high-capacity chemistry toward practical application. Silicon’s allure is clear: a theoretical specific capacity approaching ~3579 mAh g⁻¹ — nearly an order of magnitude higher than graphite’s LiC₆ intercalation limit — owing to alloy formation with lithium (e.g., LixSi phases). That high capacity comes from fundamental electrochemistry: 🔹 Alloying vs Intercalation. Unlike graphite, where lithium inserts between graphene layers, silicon undergoes a bulk alloying reaction with Li⁺. This produces multiple lithiated phases (LiSi, Li₁₂Si₇, Li₂₂Si₅), dramatically increasing lithium uptake but also triggering severe strain at the atomic and mesoscale. 🔹 Volumetric Expansion. The transition to high-Li phases expands silicon’s volume by ~300% or more during lithiation. That expansion creates internal tensile/compressive stresses that exceed the fracture toughness of many electrode structures, causing cracking, particle pulverization, and eventual loss of electrical connectivity. 🔹 SEI Instability. When silicon expands and contracts, the solid-electrolyte interphase (SEI) — a passivating film formed by electrolyte reduction — fractures repeatedly. Each cycle exposes fresh silicon to the electrolyte, leading to continuous SEI growth, lithium consumption (loss of lithium inventory), and degradation of capacity retention. 🔹 Initial Coulombic Efficiency (ICE). As the SEI forms and reforms, irreversible lithium is consumed early in the first few cycles, reducing ICE unless pre-lithiation or tailored electrolyte strategies are used. The RSC Advances review emphasizes how material and interface engineering — from nanoscale silicon architectures to conductive additives and binder chemistry — is being optimized to accommodate these inherent mechanisms while preserving electrochemical kinetics. Why this matters now: • Silicon’s alloying mechanism — once a barrier — is now being turned into advantage through controlled nanostructures that relieve stress without sacrificing capacity. • Electrolyte formulations and SEI modifiers now aim to stabilize the interphase under dynamic expansion-contraction cycles. • Pre-lithiation approaches reduce irreversible lithium loss and enable higher ICE. In short, we’re seeing a shift from viewing silicon as “too reactive” to managing its electrochemical transformations with rational design. For battery scientists and engineers, that’s the difference between intriguing lab phenomena and deployable next-gen cells. #BatteryScience #Electrochemistry #LiIon #SiliconAnodes #MaterialsEngineering https://lnkd.in/g75bpstM

EPITAXIAL MONOLITHIC 3D INTEGRATION WITH LOWER-POWER 2D MATERIAL-BASED TRANSISTOR: WORLD'S FASTEST NOT MADE FROM SILICON The Moore era has been characterized by the continuous downscaling of Si integrated circuits, driving remarkable advancements in computing power and miniaturization. However, as Si-based devices approach their physical limits, challenges such as short-channel effects, increased power consumption, thermal dissipation, and quantum tunneling have raised concerns about the sustainability of Moore's Law. To address these limitations, the "More-Moore" era has focused on innovative strategies, including the integration of two-dimensional (2D) materials. Recognized for their high carrier mobility and superior gate control at atomic thicknesses, 2D materials offer significant potential for extending electronic performance. A key approach involves hybrid integration, combining 2D materials with Si-based circuits to overcome silicon's inherent constraints and sustain device scaling. In parallel, the "More-than-Moore" era envisions monolithic three-dimensional (M3D) integration, which enables higher device densities and multifunctionality. By layering electronic components in three dimensions, M3D integration offers a transformative approach to scaling, moving beyond the traditional reliance on silicon miniaturization. Integrating M3D CMOS systems with 2D materials-based n-type and p-type transistors presents significant technical challenges, requiring careful material selection and advanced fabrication techniques. Achieving high-performance M3D CMOS integration depends on the development of high-quality 2D p-type semiconductors, refinement of synthesis methods, precise interface engineering, and effective defect control. A team of Chinese scientists at Peking University may have turned the computing industry with their groundbreaking innovation. Using a thin sheet of lab-grown Bismuth and an architecture entirely distinct from today’s silicon-based chips, they have developed what they claim is the world’s fastest and most efficient transistor. This next-generation transistor not only surpasses the performance of leading processors from Intel and TSMC, but also operates with significantly lower energy consumption. According to their statement, at ångström-scale nodes, a gate-all-around (GAA) field-effect transistor (FET) utilizing two-dimensional (2D) semiconductors offers superior electrostatic gate control, enabling ultimate power scaling and enhanced performance. Their study reported successful development of a wafer-scale, multi-layer-stacked, single-crystalline 2D GAA configuration, achieved through low-temperature monolithic three-dimensional (M3D) integration, implying Pt and Au metal gates. The high-mobility 2D semiconductor Bi₂O₂Se was epitaxially integrated with a high-κ layered native-oxide dielectric Bi₂SeO₅, forming an exceptionally smooth interface. # https://lnkd.in/gUG3cKYR

💥“EMC is not a test you pass, it’s a design philosophy you adopt from day one” EMC System Approach is a process that a design engineer should follow to ensure that an electronic device: 1. Is not affected by electromagnetic interference from its surrounding environment 2.Does not cause electromagnetic interference to other devices around it Here is a detailed explanation of this approach phases: 1.System Definition Phase This is the initial phase where all the requirements and constraints for the system are identified. *environment: Where will this device operate? (e.g., in a hospital, factory, home) because each environment has different interference sources. *balancing: Balancing conflicting requirements like performance vs. Cost, or complexity vs. Reliability. *orientation: How cables and components will be oriented inside the system to reduce electromagnetic coupling. *impedance: Designing the impedance of circuits and traces to control unwanted currents. * Power & Frequency: Determining the power levels and frequencies the system will operate at *safety: Ensuring that EMC control measures do not compromise electrical safety. *cost: Estimating the cost of implementing EMC solutions. nuisance: Considering how the system might affect nearby systems (causing static on radio or TV). 2. System Planning Phase In this phase, a plan is developed based on the previous definitions. *suppression techniques: Planning to use techniques like Shielding, Grounding, Filtering, and Isolation from the very beginning. *social implications: Considering laws, regulations, standards, and social factors (not causing interference to neighbors). *planning: Developing a comprehensive implementation plan. *regulations & standards: This is the framework the design must adhere to. 3.The Design Cycle (Iterative) Fabricate → Test → Improve → Retest Loop continues until the design meets standards pass test? If the answer is yes: The system moves to the final phase. If the answer is No: The cycle returns to the systems planning phase for redesign and improvement of suppression techniques (like better shielding or filtering), followed by fabricating and testing the system again. This is an iterative loop until the system passes the tests. 4.Field Problems field problems: Even after leaving the lab, problems may appear in the real world that weren't caught during lab testing. If this happens, you must return to the systems planning phase to analyze the problem, find a solution, and go through the design cycle again. END:After passing the lab tests, the design is considered complete. Instead of waiting for a problem to appear and then trying to fix it, this approach pushes you to anticipate it and plan solutions from the first moment of design, saving significant time and cost. It is a continuous, circular process of design, test, and redesign until full compatibility is achieved. #EMI #EMC #Testing #ElectromagneticCompatibility #ElectronicsDesign