After a brief review of the golden ratio in history and our previous exposition of the fine-structure constant and equations with the exponential function, the fine-structure constant is studied …
Cours gratuits de physique chimie pour le collège (cinquième, quatrième, troisième), le lycée (seconde, première S, terminale S), la licence (1ère année), le capes de physique-chimie et l'agrégation de physique.
Solving a 5 yr old personal mystery about "Why Water Walks on Water". Click here to tweet this video: https://goo.gl/oYRa57 Thanks to Google Making & Science...
This course explores electromagnetic phenomena in modern applications, including wireless and optical communications, circuits, computer interconnects and peripherals, microwave communications and radar, antennas, sensors, micro-electromechanical systems, and power generation and transmission. Fundamentals include quasistatic and dynamic solutions to Maxwell's equations; waves, radiation, and diffraction; coupling to media and structures; guided waves; resonance; acoustic analogs; and forces, power, and energy.
Powers of Ten takes us on an adventure in magnitudes. Starting at a picnic by the lakeside in Chicago, this famous film transports us to the outer edges of t...
מרכז שוורץ/רייסמן לחינוך מדעי, רחובות (מש/ר) משמש קמפוס מדעי לבתי הספר העל-יסודיים ברחובות ובנס-ציונה. המרכז פועל מספטמבר 2013, וכיום לומדים בו מעל 1,000 תלמ...
Physics is a part of games that has always amazed me. I find it funny how impossible it seemed to do correctly when I was younger. While making a custom game engine, it was finally demystified!
The full article: https://blog.winter.dev/2020/designing-a-physics-engine/
The background game demo: https://winter.dev/demo
IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz - GitHub - dynamicslab/databook_python: IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz