Kristin Lauter is a prominent mathematician known for her work in the fields of algebraic geometry, number theory, and cryptography. She is particularly recognized for her contributions to the study of elliptic curves and their applications in cryptography. Lauter has held academic positions, including being a professor, and has been involved in various research initiatives and collaborations within the mathematical community.
Leonard Schulman is an American computer scientist known for his contributions to the fields of theoretical computer science, particularly in areas such as algorithms, cryptography, and computational complexity. He has published numerous papers and has been involved in various research projects. Schulman is also known for his work on error-correcting codes and the computational aspects of machine learning.
Liliana Borcea is a mathematician known for her work in the fields of applied mathematics, particularly in dynamical systems and mathematical biology. She has made contributions to various areas, including the mathematical modeling of biological processes and applications of bifurcation theory.
Lois Curfman McInnes is known for her contributions to the fields of mathematics and engineering, particularly in relation to applied mathematics and computational methods. She has been recognized for her work in areas such as numerical analysis and mathematical modeling. In addition to her research, McInnes has also been involved in education and mentorship, influencing the next generation of mathematicians and engineers.
Mark A. Lewis might refer to a person with contributions in various fields, such as academia, science, or the arts. However, without specific context, it's challenging to determine which Mark A. Lewis you are referring to, as there may be multiple individuals with that name. If you have more specific information about the field or context in which Mark A.
The breadboard of photonics!
For example, that is how most modern microscopes are prototyped, see for example Video "Two Photon Microscopy by Nemonic NeuroNex (2019)".
This is kind of why they are also sometimes called "optical breadboarbds", since breadboards are what we use for early prototyping in electronics. Wikipedia however says "optical breadboard" is a simpler and cheaper type of optical table with less/no stabilization.
Clear experiment diagram which explains that the droplet mass determined with Stoke's law:
American Scientific, LLC sells a ready made educational kit for this: www.youtube.com/watch?v=EV3BtoMGA9c
Here's some actual footage of a droplet on a well described more one-off setup:Video 2. Source. From Lancaster University
This American video likely from the 60's shows it with amazing contrast: www.youtube.com/watch?v=_UDT2FcyeA4
My brother, Richard: How he came to be so smart interview with Joan Feynman by Web of Stories (2019)
Source. Ah, shame to see Joan so old. Some good stories. The tiles game thing was not mentioned in Genius: Richard Feynman and Modern Physics by James Gleick (1994) I think.He and John Archibald Wheeler presented the Wheeler-Feynman absorber theory.
Space-Time Approach to Quantum Electrodynamic by Richard Feynman (1949) by
Ciro Santilli 40 Updated 2025-07-16
The first key paper to his approach to quantum electrodynamics apparently.
Published on Physical Review 76.769.
Amazing talk by Richard Feynman that describes his experiences at Los Alamos National Laboratory while developing the first nuclear weapons.
Transcript: calteches.library.caltech.edu/34/3/FeynmanLosAlamos.htm Also included full text into Surely You're Joking, Mr. Feynman.
- www.youtube.com/watch?v=uY-u1qyRM5w&t=2881s describes the computing aspects. Particularly interesting is the quote about how they used the typist secretary pool to emulate the IBM machines and debug their programs before the machines had arrived. This is exactly analogous to what is done in 2020 in the semiconductor industry, where slower models are used to estimate how future algorithms will run in future hardware.
Los Alamos From Below by Richard Feynman (1975)
Source. The Quadratic Integrate-and-Fire (QIF) model is a mathematical representation used to describe the behavior of a neuron. It builds upon the simpler Integrate-and-Fire (IF) model by incorporating quadratic nonlinearity to more accurately represent the dynamics of action potentials (spikes) in neurons.
The term "small control property" is often discussed in the context of functional analysis and operator theory. It pertains to a specific characteristic of certain types of Banach spaces or functional spaces. A space is said to have the small control property if, roughly speaking, every bounded linear operator from this space into a Hilbert space can be approximated by finite-rank operators in a certain way.
Pinned article: Introduction to the OurBigBook Project
Welcome to the OurBigBook Project! Our goal is to create the perfect publishing platform for STEM subjects, and get university-level students to write the best free STEM tutorials ever.
Everyone is welcome to create an account and play with the site: ourbigbook.com/go/register. We belive that students themselves can write amazing tutorials, but teachers are welcome too. You can write about anything you want, it doesn't have to be STEM or even educational. Silly test content is very welcome and you won't be penalized in any way. Just keep it legal!
Intro to OurBigBook
. Source. We have two killer features:
- topics: topics group articles by different users with the same title, e.g. here is the topic for the "Fundamental Theorem of Calculus" ourbigbook.com/go/topic/fundamental-theorem-of-calculusArticles of different users are sorted by upvote within each article page. This feature is a bit like:
- a Wikipedia where each user can have their own version of each article
- a Q&A website like Stack Overflow, where multiple people can give their views on a given topic, and the best ones are sorted by upvote. Except you don't need to wait for someone to ask first, and any topic goes, no matter how narrow or broad
This feature makes it possible for readers to find better explanations of any topic created by other writers. And it allows writers to create an explanation in a place that readers might actually find it.Figure 1. Screenshot of the "Derivative" topic page. View it live at: ourbigbook.com/go/topic/derivativeVideo 2. OurBigBook Web topics demo. Source. - local editing: you can store all your personal knowledge base content locally in a plaintext markup format that can be edited locally and published either:This way you can be sure that even if OurBigBook.com were to go down one day (which we have no plans to do as it is quite cheap to host!), your content will still be perfectly readable as a static site.
- to OurBigBook.com to get awesome multi-user features like topics and likes
- as HTML files to a static website, which you can host yourself for free on many external providers like GitHub Pages, and remain in full control
Figure 3. Visual Studio Code extension installation.Figure 4. Visual Studio Code extension tree navigation.Figure 5. Web editor. You can also edit articles on the Web editor without installing anything locally.Video 3. Edit locally and publish demo. Source. This shows editing OurBigBook Markup and publishing it using the Visual Studio Code extension.Video 4. OurBigBook Visual Studio Code extension editing and navigation demo. Source. - Infinitely deep tables of contents:
All our software is open source and hosted at: github.com/ourbigbook/ourbigbook
Further documentation can be found at: docs.ourbigbook.com
Feel free to reach our to us for any help or suggestions: docs.ourbigbook.com/#contact





