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      <title>Lalit Patidar</title>
      <link>https://lalitpatidar.com</link>
      <description>A living personal knowledge platform spanning engineering research, interdisciplinary learning, experiments, writing, and poetry.</description>
      
      <item>
        <title><![CDATA[Carbonify]]></title>
        <link>https://lalitpatidar.com/projects/carbonify</link>
        <guid>https://lalitpatidar.com/projects/carbonify</guid>
        <pubDate>Thu, 02 Apr 2026 00:00:00 GMT</pubDate>
        <description><![CDATA[Building biochar-based biological agri-input products for Indian farms — adding stable carbon to soil, restoring soil biology, and improving climate resilience for smallholder farmers.]]></description>
      </item>

      <item>
        <title><![CDATA[CodeCraft Academy]]></title>
        <link>https://lalitpatidar.com/projects/codecraft-academy</link>
        <guid>https://lalitpatidar.com/projects/codecraft-academy</guid>
        <pubDate>Thu, 02 Apr 2026 00:00:00 GMT</pubDate>
        <description><![CDATA[An AI-powered Python learning web app with an in-browser code editor and a conversational AI tutor that generates lessons and explanations on-demand — built so beginners can learn by doing and asking, not by watching.]]></description>
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      <item>
        <title><![CDATA[Maati AI]]></title>
        <link>https://lalitpatidar.com/projects/maati-ai</link>
        <guid>https://lalitpatidar.com/projects/maati-ai</guid>
        <pubDate>Thu, 02 Apr 2026 00:00:00 GMT</pubDate>
        <description><![CDATA[A WhatsApp-first AI assistant for Indian farmers — answering questions on fertilizers, mandi prices, weather, and crop health in their own language, where they already are.]]></description>
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        <title><![CDATA[एक अभिलाषा]]></title>
        <link>https://lalitpatidar.com/poetry/ek-abhilasha</link>
        <guid>https://lalitpatidar.com/poetry/ek-abhilasha</guid>
        <pubDate>Wed, 01 Apr 2026 00:00:00 GMT</pubDate>
        <description><![CDATA[माँ के आँचल और पिता के चरणों में लौट जाने की अभिलाषा। A longing to return — to rest in a mother's embrace and bow at a father's feet.]]></description>
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        <title><![CDATA[From Molecule to Flame: Building a Complete Combustion Model for HMX]]></title>
        <link>https://lalitpatidar.com/writing/hmx-combustion-model-molecule-to-flame</link>
        <guid>https://lalitpatidar.com/writing/hmx-combustion-model-molecule-to-flame</guid>
        <pubDate>Wed, 01 Apr 2026 00:00:00 GMT</pubDate>
        <description><![CDATA[Starting from quantum mechanics calculations of individual bond-breaking events and ending with a model that correctly predicts burn rates across pressures — this is the story of assembling a first-principles combustion model for HMX, and what it took to make the pieces fit together.]]></description>
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        <title><![CDATA[What Happens in the First Microseconds: Using Quantum Mechanics to Map How RDX and HMX Begin to Decompose]]></title>
        <link>https://lalitpatidar.com/writing/rdx-hmx-quantum-mechanics-decomposition</link>
        <guid>https://lalitpatidar.com/writing/rdx-hmx-quantum-mechanics-decomposition</guid>
        <pubDate>Wed, 01 Apr 2026 00:00:00 GMT</pubDate>
        <description><![CDATA[Before you can model or predict the combustion of an energetic material, you have to know what actually happens at the molecular level when it starts to break down. This is the story of using quantum mechanics calculations to answer that question for RDX and HMX — two of the most important explosives and propellant ingredients in use today.]]></description>
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        <title><![CDATA[750× Faster: Making Detailed Chemical Kinetics Usable in Engine Simulation]]></title>
        <link>https://lalitpatidar.com/writing/tabulated-chemistry-fast-kinetics-engines</link>
        <guid>https://lalitpatidar.com/writing/tabulated-chemistry-fast-kinetics-engines</guid>
        <pubDate>Wed, 01 Apr 2026 00:00:00 GMT</pubDate>
        <description><![CDATA[Detailed reaction mechanisms are physically accurate but computationally intractable in engineering simulation. This is the story of two methods — tabulated chemistry and machine learning tabulation — that recover that accuracy at engineering speeds, and what they enable for engine design and emissions prediction.]]></description>
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        <title><![CDATA[Newton–GMRES and Preconditioning for Stiff Chemistry]]></title>
        <link>https://lalitpatidar.com/writing/newton-gmres-preconditioning-stiff-chemistry</link>
        <guid>https://lalitpatidar.com/writing/newton-gmres-preconditioning-stiff-chemistry</guid>
        <pubDate>Mon, 30 Mar 2026 00:00:00 GMT</pubDate>
        <description><![CDATA[A fully self-contained first-principles walkthrough of stiffness, implicit integration, Newton solves, GMRES, and structure-aware preconditioning for chemistry ODE systems — with an interactive lab embedded to explore the solver data directly.]]></description>
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        <title><![CDATA[Newton–GMRES Interactive Lab]]></title>
        <link>https://lalitpatidar.com/projects/newton-gmres-interactive-lab</link>
        <guid>https://lalitpatidar.com/projects/newton-gmres-interactive-lab</guid>
        <pubDate>Mon, 30 Mar 2026 00:00:00 GMT</pubDate>
        <description><![CDATA[An interactive visual lab embedded in the Newton–GMRES article — explore solver traces from a 60-species stiff chemistry system and see why preconditioning collapses GMRES iteration counts from 172 to 4.]]></description>
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      <item>
        <title><![CDATA[Stiffness and Implicit Integration — Working Notes]]></title>
        <link>https://lalitpatidar.com/notes/stiffness-and-implicit-integration</link>
        <guid>https://lalitpatidar.com/notes/stiffness-and-implicit-integration</guid>
        <pubDate>Sun, 15 Mar 2026 00:00:00 GMT</pubDate>
        <description><![CDATA[Field notes on why combustion ODE systems are stiff, what stiffness actually means numerically, and how implicit integrators handle it in practice.]]></description>
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        <title><![CDATA[Magnesium and the Lightweighting Path to Decarbonization]]></title>
        <link>https://lalitpatidar.com/notes/magnesium-lightweight-decarbonization</link>
        <guid>https://lalitpatidar.com/notes/magnesium-lightweight-decarbonization</guid>
        <pubDate>Mon, 15 Jul 2024 00:00:00 GMT</pubDate>
        <description><![CDATA[Transportation is ~30% of global emissions. One underappreciated lever is lightweighting — and magnesium, the lightest structural metal, is getting a second look as seawater-based production makes clean manufacturing feasible for the first time.]]></description>
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        <title><![CDATA[Matching Energy Storage to Application: The Ragone Perspective]]></title>
        <link>https://lalitpatidar.com/notes/energy-storage-ragone-and-applications</link>
        <guid>https://lalitpatidar.com/notes/energy-storage-ragone-and-applications</guid>
        <pubDate>Wed, 05 Jun 2024 00:00:00 GMT</pubDate>
        <description><![CDATA[Not all storage technologies are interchangeable. The Ragone plot — power density vs energy density — reveals why capacitors, electrochemical batteries, and chemical/mechanical storage occupy distinct niches, and why mismatching technology to application is expensive.]]></description>
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        <title><![CDATA[EROI: Why the Comparison Between Fossil Fuels and Renewables Is Usually Wrong]]></title>
        <link>https://lalitpatidar.com/notes/eroi-energy-return-on-investment</link>
        <guid>https://lalitpatidar.com/notes/eroi-energy-return-on-investment</guid>
        <pubDate>Mon, 20 May 2024 00:00:00 GMT</pubDate>
        <description><![CDATA[Energy Return on Investment is the right metric for comparing energy sources — but most popular comparisons measure EROI at the point of extraction rather than point of use. When you account for the full chain, the picture looks very different from the conventional wisdom.]]></description>
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        <title><![CDATA[Round-Trip Efficiency of Energy Storage: What the Numbers Actually Mean]]></title>
        <link>https://lalitpatidar.com/notes/round-trip-efficiency-energy-storage</link>
        <guid>https://lalitpatidar.com/notes/round-trip-efficiency-energy-storage</guid>
        <pubDate>Wed, 10 Apr 2024 00:00:00 GMT</pubDate>
        <description><![CDATA[RTE tells you how much electricity you recover from a storage system compared to what you put in. The numbers vary dramatically across technologies — from 85% for lithium-ion to 25% for hydrogen — and understanding why reveals the physics of each approach.]]></description>
      </item>

      <item>
        <title><![CDATA[The Thermodynamic Limits of Direct Air Capture]]></title>
        <link>https://lalitpatidar.com/notes/thermodynamic-limits-of-direct-air-capture</link>
        <guid>https://lalitpatidar.com/notes/thermodynamic-limits-of-direct-air-capture</guid>
        <pubDate>Fri, 15 Mar 2024 00:00:00 GMT</pubDate>
        <description><![CDATA[DAC is a fight against entropy. The second law of thermodynamics sets an absolute energy floor of 120 kWh per tonne of CO₂ — and current technology is only 7–8% efficient against that floor. The numbers matter for how seriously we should take DAC as a climate solution.]]></description>
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