Advanced Materials For Engineering

𝗜𝗺𝗽𝗿𝗲𝘀𝘀𝗶𝘃𝗲. 𝗪𝗶𝗿𝗲𝘀 𝘁𝗵𝗮𝘁 𝗱𝗼𝗻’𝘁 𝗯𝗿𝗲𝗮𝗸. 👏 Researchers in China have developed a Metal-Polymer Conductor (MPC) by combining elastic polymers with liquid metals like gallium and indium. The result is quite remarkable. A circuit that can: → stretch → twist → fold → bend repeatedly …and still conduct electricity. Traditional wires fail under stress. This material behaves more like living tissue. Which opens interesting possibilities. → wearable electronics → soft robotics → medical sensors → even artificial skin Working in automation and AI, I find breakthroughs like this fascinating. Because the future of intelligent machines will not just depend on better software. It will also depend on new kinds of hardware that can move, flex, and interact safely with the human world. 𝗪𝗵𝗲𝗿𝗲 𝗱𝗼 𝘆𝗼𝘂 𝘁𝗵𝗶𝗻𝗸 𝗳𝗹𝗲𝘅𝗶𝗯𝗹𝗲 𝗲𝗹𝗲𝗰𝘁𝗿𝗼𝗻𝗶𝗰𝘀 𝘄𝗶𝗹𝗹 𝗵𝗮𝘃𝗲 𝘁𝗵𝗲 𝗯𝗶𝗴𝗴𝗲𝘀𝘁 𝗶𝗺𝗽𝗮𝗰𝘁? #AI #Robotics #Innovation #FutureTech #Technology

This imec roadmap to 2039 (!) has become the chip industry's go-to. So what's actually on there? 🔎 Let me walk you through it! 👇 🔢 𝗧𝗵𝗲 𝗻𝗼𝗱𝗲𝘀 𝗮𝗻𝗱 𝘁𝗵𝗲𝗶𝗿 𝘆𝗲𝗮𝗿 𝗼𝗳 𝗶𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻  Nodes set the tempo for innovation. They are generational markers for density, performance and power improvements. So as we exit the "N" nodes and enter the "angstrom era" (A14, A10, A7…), remember: 10 angstroms = 1 nanometer. Just remember that these numbers no longer relate to anything physical on the chip. The naming is more competitive signaling between leaders like TSMC, Samsung Semiconductor and Intel. But the engineering behind each step is very real. 🧱 "𝗗𝗲𝘃𝗶𝗰𝗲 𝗮𝗻𝗱 𝗺𝗮𝘁𝗲𝗿𝗶𝗮𝗹 𝗶𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻𝘀" 𝗶𝘀 𝗮𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝘁𝗿𝗮𝗻𝘀𝗶𝘀𝘁𝗼𝗿𝘀 New transistor architectures deliver better performance. In FinFET transistors, the gate wraps around the channel on three sides of a silicon fin. It was the workhorse from ~22nm. Right now, the first generation of Gate-All-Around (GAA) transistors is entering production. These stacks horizontal sheets with the gate wrapping the channel on all four sides for better control and less leakage. Next up: Complementary FET (CFET) transistors. Their taller design stacks a pair of transistors on top of each other to essentially create two transistors in one fin. At the tail end: '2DFET' points to the use of 2D materials with atomic-scale thickness (~0.7nm) that could work where silicon can't. Deep future stuff. 📏 "𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗲𝗱 𝗱𝗶𝗺𝗲𝗻𝘀𝗶𝗼𝗻𝗮𝗹 𝘀𝗰𝗮𝗹𝗶𝗻𝗴" 𝗶𝘀 𝗮𝗯𝗼𝘂𝘁 𝗹𝗶𝘁𝗵𝗼𝗴𝗿𝗮𝗽𝗵𝘆  Litho enables economic scaling. ASML's Extreme ultraviolet (EUV) lithography enables today's most advanced nodes and will continue to keep the pace of chip innovation. As chip designs continue to scale and become more complex to print economically, the door to the next generation of lithography opens. We're now on the cusp of the High NA EUV era. By increasing the numerical aperture from 0.33 to 0.55, these systems bring imaging resolution down to 8nm. And an even higher numerical aperture of 0.75 would give rise to "Hyper NA" EUV systems in the 2030s. ⚡ "𝗖𝗵𝗶𝗽 𝗶𝗻𝘁𝗲𝗿𝗰𝗼𝗻𝗻𝗲𝗰𝘁 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲" 𝗶𝘀 𝗮𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗲𝗱 𝗰𝗶𝗿𝗰𝘂𝗶𝘁𝗿𝘆 This is about the wiring. Today, power travels from the top through many wiring layers to reach transistors, wasting space and energy. Backside Power Delivery (BSPDN) flips the script: it routes power from the bottom via through-silicon vias, freeing the frontside for denser routing and better performance. Intel, TSMC and Samsung are all adopting this in their advanced nodes. But the complexity demands collaboration across deposition, etch, CMP, bonding and wafer thinning. 💡 In the end, a roadmap like this shows that everything has to work together. No single breakthrough carries that pace of innovation. That's what makes this industry incredibly competitive and collaborative at the same time! ❤️

𝐓𝐡𝐞 𝐚𝐫𝐭 𝐨𝐟 𝐩𝐫𝐞𝐜𝐢𝐬𝐢𝐨𝐧 𝐢𝐧 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐚𝐥 𝐰𝐞𝐥𝐝𝐢𝐧𝐠 𝐢𝐬 𝐧𝐨𝐭 𝐣𝐮𝐬𝐭 𝐚𝐛𝐨𝐮𝐭 𝐣𝐨𝐢𝐧𝐢𝐧𝐠 𝐦𝐞𝐭𝐚𝐥, 𝐢𝐭 𝐢𝐬 𝐚𝐛𝐨𝐮𝐭 𝐜𝐨𝐧𝐭𝐫𝐨𝐥𝐥𝐞𝐝 𝐟𝐚𝐛𝐫𝐢𝐜𝐚𝐭𝐢𝐨𝐧, 𝐦𝐞𝐭𝐚𝐥𝐥𝐮𝐫𝐠𝐢𝐜𝐚𝐥 𝐢𝐧𝐭𝐞𝐠𝐫𝐢𝐭𝐲, 𝐚𝐧𝐝 𝐝𝐢𝐦𝐞𝐧𝐬𝐢𝐨𝐧𝐚𝐥 𝐩𝐫𝐞𝐜𝐢𝐬𝐢𝐨𝐧. ⚙️🔥 From an expert welding and fabrication perspective, the demonstration reflects a high-control repair and alignment sequence applied in structural and heavy-duty fabrication environments where strength, accuracy, and defect rectification are critical. The intervention demonstrates how disciplined welding methodology ensures both geometric correction and long-term load performance under demanding service conditions. 📌 𝐅𝐚𝐛𝐫𝐢𝐜𝐚𝐭𝐢𝐨𝐧 & 𝐒𝐮𝐫𝐟𝐚𝐜𝐞 𝐏𝐫𝐞𝐩𝐚𝐫𝐚𝐭𝐢𝐨𝐧: ✓. Base metal cleaning and oxide removal. ✓. Edge preparation and fit-up accuracy. ✓. Alignment verification prior to welding. ✓. Joint geometry stabilization. 📌 𝐓𝐚𝐜𝐤 𝐖𝐞𝐥𝐝𝐢𝐧𝐠 & 𝐒𝐞𝐪𝐮𝐞𝐧𝐜𝐢𝐧𝐠 𝐂𝐨𝐧𝐭𝐫𝐨𝐥: ✓. Controlled tack placement strategy. ✓. Distortion minimization through restraint. ✓. Sequential locking of components. ✓. Stress distribution balance during setup. 📌 𝐌𝐚𝐢𝐧 𝐖𝐞𝐥𝐝𝐢𝐧𝐠 & 𝐃𝐞𝐩𝐨𝐬𝐢𝐭𝐢𝐨𝐧 𝐓𝐞𝐜𝐡𝐧𝐢𝐪𝐮𝐞: ✓. Multi-pass welding execution (SMAW/MIG/TIG). ✓. Controlled heat input management. ✓. Stable arc and penetration consistency. ✓. Interpass temperature regulation. 📌 𝐃𝐢𝐬𝐭𝐨𝐫𝐭𝐢𝐨𝐧 𝐂𝐨𝐧𝐭𝐫𝐨𝐥 & 𝐒𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐚𝐥 𝐒𝐭𝐚𝐛𝐢𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧: ✓. Back-step / skip welding application. ✓. Mechanical restraint using clamps/jigs. ✓. Controlled thermal shrinkage balance. ✓. Dimensional accuracy retention during welding. 📌 𝐏𝐨𝐬𝐭-𝐖𝐞𝐥𝐝 𝐅𝐢𝐧𝐢𝐬𝐡𝐢𝐧𝐠 & 𝐈𝐧𝐬𝐩𝐞𝐜𝐭𝐢𝐨𝐧: ✓. Slag removal and surface cleaning. ✓. Grinding for profile continuity. ✓. Visual inspection of weld bead integrity. ✓. NDT readiness (DPT/UT as per code). 📌 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐎𝐮𝐭𝐜𝐨𝐦𝐞: ✓. Restored structural alignment and strength. ✓. Enhanced joint durability under load. ✓. Precision fabrication compliance achieved. ✓. Welding discipline ensuring long-term performance.

The Future of Footwear Isn’t Manufactured — It’s Fabricated Around You. Would you use this one? 🔮 The next wave of manufacturing is emerging NOW: Global 3D-printed footwear market: $1.5B in 2024 Projected $9.1B by 2032 (CAGR 24%+) Custom-fit footwear adoption: Expected to reach 18–22% of all athletic footwear by 2030 Returns due to sizing could drop by 65% Inventory waste down 70–90% AI-driven design: Cuts product development time from 18 months → 2–6 weeks Reduces prototyping costs by up to 60% Material breakthroughs: Programmable flexible polymers that “remember” shape Bio-based materials with 40% lower CO₂ emissions High-speed resin printers now producing midsoles in under 20 minutes 👣 What the “sneaker pod” symbolizes: AI biomechanics: >50,000 data points per scan Real-time fit optimization: compression, arch, pressure mapping On-demand micro-factories: 80% smaller footprint than a normal shoe line Localized production: 1 pod = 500–700 shoes per month Zero stock model: supply chain cost reduction of up to 35% 🔥 The next decade will bring: Shoes that self-form and auto-tighten based on your movement Retail stores replaced by autonomous fabrication pods Hospitals generating custom orthotics in under 10 minutes Sports brands using AI motion capture + 3D print for athlete-specific gear Hyper-personalized products built directly from your biometric signature We are nearing an era where products manufacture themselves around the user. AI, robotics, and material science are converging into a new industrial model — one where fit is perfect, waste is minimal, and every consumer becomes their own production line. The question is no longer if. It’s who builds it first — and how fast everyone else follows. #FutureTech #AIInnovation #AdvancedManufacturing #3DPrinting #FootwearInnovation #Biomechanics #RetailTech #SmartMaterials #TechTrends #NextGenTechnology

The dirty secret of Quantum Computing… Materials are the limiting factor. Everyone talks about quantum algorithms, error correction, and qubit counts. But the real killer of quantum computing isn’t software, it’s materials. Superconducting qubits don’t decohere because we lack clever code. They decohere because: – Surface oxides introduce two-level system noise. – Impurities and defects act like microscopic time bombs. – Atomic-scale disorder destroys coherence before circuits can compute anything useful. That’s why the biggest breakthroughs aren’t happening in code, they’re happening in materials labs. → Google is building qubits with ultra-clean Al/Si interfaces to suppress noise. → IBM is investing in substrate purification to push coherence times further. → Labs worldwide are chasing epitaxial aluminum films with sub-ppm impurity levels. The “quantum revolution” is being held back by dirt, literally. Until we tame materials noise, scaling qubits is just scaling errors. Quantum doesn’t need another hype cycle. It needs a materials breakthrough. #QuantumComputing #MaterialScience #GrowthAndInnovation #DeepTech

>>For nearly 200 years, #metals have obeyed the #Wiedemann-Franz law – the rule that electrical conductivity and thermal conductivity always rise and fall together. But in ultra-clean #graphene, researchers at the Indian Institute of Science (IISc) [Arindam Ghosh Lab] found the opposite. ''As electrical conductivity increased, thermal conductivity dropped, shattering a principle taught in every physics textbook.'' 🔬 Key Findings: 📣 #Quantum critical Dirac fluid realised in #graphene: Near the Dirac point (i.e. when the charge carrier density is almost zero), graphene behaves like a quantum critical fluid; both charge and heat flow are governed by universal laws rather than material-specific impurities. Nature Magazine 📣Universal (quantised) d.c. electrical #conductivity: They observe that the conductivity converges to a characteristic, quantised value in very clean graphene devices, consistent with predictions for a quantum critical point. 📣 Violation of the Wiedemann–Franz (WF) law: Close to the #Dirac point and at low temperatures, the #Lorentz_number (which relates thermal to electrical conductivity) exceeds the usual semiclassical value by over 200×. This shows that heat and charge transport are decoupled in remarkable ways under these conditions. 📣Effective viscosity nearing minimal quantum limit: At higher #temperatures, the ratio of dynamic viscosity to entropy density in the cleanest devices comes close (within a factor of ~4) to the lower bound predicted for minimally viscous quantum fluids. This suggests graphene’s electron fluid is behaving almost like a “perfect” fluid in relativistic hydrodynamics. 🧠 #Why_It_Matters 1.) Provides experimental evidence for theoretical predictions about quantum criticality in Dirac materials, showing universal #transport behavior in both charge and heat channels. 2.) Deepens understanding of hydrodynamic electron flow in 2D materials- essential for next-generation electron devices where interactions, rather than scattering off impurities, dominate. 3.) Challenges traditional transport paradigms (like the WF law), which assume that electrons’ abilities to carry heat and charge are tightly linked — here, they are not. 🎯 #Implications_and_Further_Directions > Potential for exploiting quantum critical behavior in designing low-dissipation electronics, thermal management, or novel sensors. > Opens up further experimental/theoretical work in exploring other #materials or regimes (e.g. stronger interactions, different dimensionalities, non-linear responses) to test universality. > Could have connections to high energy physics concepts (relativistic hydrodynamics, minimal viscosity bounds) being realised in a solid-state platform. #FUll paper : https://lnkd.in/gh-Nis8D #solidstatephysics #electricalconduction #graphene