chemistry engine

Nathan Kutz presents the spatio-temporal dynamics of rotating detonation rocket engines, including combustion fronts that behave like solitons. He shows a bifurcation analysis of a multiscale model that captures the main features.

Bill Hammack of engineerguy introduces his series on Michael Faraday's lectures on The Chemical History of a Candle. He describes the free companion book and the commentary and caption features that help modern viewers.

The introductory lecture of Richard Hamming's capstone course, The Art of Doing Science and Engineering: Learning to Learn. It focuses on style of thinking and on educating rather than training, using technical material only as illustration.

Jack Szostak's lecture covers how cellular life could have arisen from chemistry on the early Earth, starting from the odds of life elsewhere in the galaxy. It is part of a series on protocells and the RNA world.

Professor Jeff Dahn lectures on why lithium-ion batteries die and how chemistry changes could make them last decades.

Biochemist Nick Lane gives a Royal Institution lecture arguing that the Krebs cycle is central to what makes cells alive, not just genetic information. He draws on the themes of his book Transformer to link metabolism to the origin of life, death, and aging.

A short Harvard Online animated lesson on how the mitochondrial electron transport chain works. It shows proton pumping and the machinery that drives ATP synthesis.

Synthetic organic chemist James Tour gives a lecture arguing that origin-of-life research is far from explaining how life began. The talk was published by the Discovery Institute and drew sharp criticism.

Nick Lane's Royal Institution lecture on the origin of life and why it is the way it is. It draws on his book The Vital Question and the alkaline hydrothermal vent theory of abiogenesis.

Doug McGuff presents the biochemistry behind high-intensity strength training and the paleo diet, including how the body stores and burns fat. It is a roughly hour-and-a-half full-length lecture.

Sacha Arnoud, Waymo's Director of Engineering, gives a lecture in MIT's 2018 deep learning for self-driving cars course on the rise of machine learning in autonomous vehicles. It covers how Waymo uses deep learning and how it handles tricky driving situations.

Historian and journalist Gwynne Dyer gives a long UBC talk on how climate change will reshape international politics. He covers food, borders, refugees and the possibility of unilateral geoengineering by affected nations.

First lecture of Stanford's CS106A Programming Methodology by Mehran Sahami, giving a course overview and starting on programming. The course teaches software engineering principles using Java.

A lecture by Prof. Thomas Seyfried arguing that cancer is primarily a metabolic disease rather than a genetic one. It covers the Warburg effect, mitochondrial damage and implications for therapies.

A Ninja Nerd whiteboard lecture on the Moderna, Pfizer/BioNTech and AstraZeneca COVID-19 vaccines. It covers how each works, the preclinical and phase I-III trial process, and Operation Warp Speed.

Michael Levin presents his lab's work on how cellular collectives use bioelectric networks to make anatomical decisions. Topics include pattern memories, regeneration and synthetic living organisms.

Ron Vale of UCSF and HHMI gives an introductory lecture on kinesin, dynein and myosin motor proteins. He covers their roles in cells and how they turn ATP hydrolysis into directed motion and force.

David Shaw of D. E. Shaw Research presents Anton, a special-purpose machine that speeds up biomolecular simulations about a hundred-fold. The lecture covers molecular dynamics and how simulation helps understand how drugs bind.

Robert Sapolsky's Stanford lecture on chaos and reductionism, which he calls one of the hardest of the course. It examines the limits of breaking systems into parts to understand them and introduces chaotic systems.

MIT 22.01 lecture by Michael Short explaining the Chernobyl accident technically, including RBMK reactor positive feedback, xenon poisoning and the cascade of human errors during the test.

Part 10 of Dan Gelbart's prototype-building lecture series, covering flexures: flexible joints that give precise, frictionless motion. It shows how a cheap piece of aluminum can become a nanometer-accurate mechanism.

The final part of Dan Gelbart's 18-part Building Prototypes series, focused on mechanical design. It opens with a demonstration of stiffness and covers practical design principles for prototype machines.

Database pioneer Michael Stonebraker argues that 'big data' is really at least four different problems: big volumes with small analytics, big analytics, velocity, and variety. He comments on where each market is heading.

Energy scholar Vaclav Smil argues that global energy transitions are slow and that renewable targets should not rest on wishful thinking. He appraises how energy dependencies are likely to change and asks for using much less.

The first lecture of Stanford's Natural Language Processing with Deep Learning course, taught by Chris Manning and Richard Socher. It introduces NLP and word vectors, including SVD, skip-gram, CBOW, negative sampling and word2vec.

The first lecture of Stanford's CS231n course on convolutional neural networks for visual recognition. It surveys the history and key challenges of computer vision, from the Cambrian explosion and Hubel and Wiesel to ImageNet.

Andrej Karpathy's first Neural Networks: Zero to Hero lecture, which builds micrograd, a tiny autograd engine, from scratch in Python. It explains backpropagation and neural network training step by step, assuming only basic Python and some high-school calculus.

Robert Lustig of UCSF lectures on the biochemistry of sugar, arguing that fructose and lack of fiber drive the obesity epidemic via insulin. It is the widely viewed 90-minute talk that popularized the anti-sugar case.

Rick Hartley gives a roughly two-hour live training on proper grounding in PCB design. He explains how energy actually flows in the space between conductors, and how that governs noise, EMI, return paths and signal reflections.

Richard Hamming's 1995 recording of his talk 'You and Your Research', drawn from his graduate engineering course. He discusses how great scientists pick important problems and build careers, drawing on his years at Bell Labs.

The first lesson of Uncle Bob (Robert C. Martin)'s "Coding Better World Together" series. It makes the case for clean code and for treating software craftsmanship as an ethical and professional responsibility. It runs about 109 minutes.

Neil Postman's 1997 lecture at College of DuPage, based on his book, argues that Americans treat technology as a national religion and depend on it to solve larger human problems. It includes audience questions.

Jeff Dean of Google describes his experiences building Google's systems and how its infrastructure evolved over time. The Stanford talk covers search, scaling tipping points and lessons from building large-scale software.

Chris Shore of the Centre for Computing History explains how Colossus was built, how it worked, and how it affected the course of World War II. It is an hour-long museum lecture on the codebreaking computer.

Weber State's Professor Kelly explains the Toyota RAV4 Hybrid transaxle, including its planetary gearset eCVT and all nine operating modes. It also covers how the engine reaches nearly 40 percent thermal efficiency.

An MIT colloquium by Dennis Whyte on power exhaust and first-wall cooling in fusion reactors, including recent innovations and the SPARC and ARC designs.

An excerpt from Hal Abelson's opening SICP lecture introducing computer science and contrasting declarative and imperative knowledge. He argues that computer science is not really a science and is more like magic or engineering of ideas.