Site-Wide Bibliography

Bibliography & References

Curated reading list across the CoursesHub catalogue — classical textbooks and landmark papers in mathematics, physics, machine learning, biology, biophysics, chemistry, Earth science, and the history of science. Most entries link to specific modules where the reference is developed in depth.

Jump to section

Mathematics

Linear algebra, complex analysis, differential geometry, probability, group theory, functional analysis. The mathematical infrastructure underlying every course on the site.

Principles of Mathematical Analysis

Rudin, W. (1976). 3rd ed. McGraw-Hill.

"Baby Rudin" — the standard rigorous undergraduate analysis text.

Real and Complex Analysis

Rudin, W. (1987). 3rd ed. McGraw-Hill.

Measure theory and complex analysis at graduate level.

Linear Algebra Done Right

Axler, S. (2024). 4th ed. Springer.

Determinant-free presentation of linear algebra; emphasises operators on vector spaces.

Topics in Optimal Transportation

Villani, C. (2003). AMS Graduate Studies.

Foundational text on optimal transport.

Optimal Transport: Old and New

Villani, C. (2009). Springer Grundlehren.

The 1000-page reference; synthetic Ricci curvature programme.

Probability: Theory and Examples

Durrett, R. (2019). 5th ed. Cambridge.

Standard graduate probability text.

Algebraic Topology

Hatcher, A. (2002). Cambridge University Press.

Free PDF: pi.math.cornell.edu/~hatcher.

Differential Geometry of Curves and Surfaces

do Carmo, M. P. (1976). Prentice-Hall.

Classical introduction to differential geometry.

Foundations of Differentiable Manifolds and Lie Groups

Warner, F. W. (1983). Springer GTM 94.

Modern manifold theory and Lie groups.

Classical & Continuum Physics

Classical mechanics, electrodynamics, fluid mechanics, statistical mechanics — the analytical traditions of Lagrange through Landau.

Mechanics (Vol. 1, Course of Theoretical Physics)

Landau, L. D. & Lifshitz, E. M. (1976). 3rd ed. Butterworth-Heinemann.

The Russian school's analytical mechanics canon.

Classical Mechanics

Goldstein, H., Poole, C., & Safko, J. (2002). 3rd ed. Addison-Wesley.

The graduate-mechanics standard.

Mathematical Methods of Classical Mechanics

Arnold, V. I. (1989). 2nd ed. Springer GTM 60.

Geometric / symplectic perspective.

Classical Electrodynamics

Jackson, J. D. (1998). 3rd ed. Wiley.

"Jackson" — the graduate E&M text.

An Introduction to Fluid Dynamics

Batchelor, G. K. (1967). Cambridge.

Classical fluid dynamics reference.

Statistical Mechanics

Pathria, R. K. & Beale, P. D. (2011). 3rd ed. Academic Press.

Equilibrium and non-equilibrium stat mech.

Statistical Physics (Vol. 5)

Landau, L. D. & Lifshitz, E. M. (1980). 3rd ed. Butterworth-Heinemann.

Companion volume; Russian-school stat mech.

Quantum, Field & High-Energy Physics

Quantum mechanics, quantum field theory, particle physics, condensed matter — the Standard Model and beyond.

Modern Quantum Mechanics

Sakurai, J. J. & Napolitano, J. (2020). 3rd ed. Cambridge.

Operator-first treatment of quantum mechanics.

Principles of Quantum Mechanics

Shankar, R. (1994). 2nd ed. Plenum Press.

Comprehensive undergraduate-to-graduate text.

An Introduction to Quantum Field Theory

Peskin, M. E. & Schroeder, D. V. (1995). Westview.

The graduate QFT standard.

Quantum Field Theory and the Standard Model

Schwartz, M. D. (2014). Cambridge.

Modern alternative to Peskin.

Quantum Theory of Fields (3 vols.)

Weinberg, S. (1995–2000). Cambridge.

Authoritative QFT reference.

Modern Particle Physics

Thomson, M. (2013). Cambridge.

Up-to-date undergraduate particle physics.

Condensed Matter Field Theory

Altland, A. & Simons, B. (2010). 2nd ed. Cambridge.

Field-theoretic CM treatment.

General Relativity, Cosmology & Black Holes

From Einstein's 1915 field equations to gravitational-wave astronomy and the cosmological constant.

Gravitation

Misner, C. W., Thorne, K. S., & Wheeler, J. A. (1973). W. H. Freeman.

"MTW" — the encyclopaedic GR text.

The Large Scale Structure of Space-Time

Hawking, S. W. & Ellis, G. F. R. (1973). Cambridge.

Causal-structure foundations and singularity theorems.

General Relativity

Wald, R. M. (1984). University of Chicago Press.

Modern, mathematically rigorous treatment.

Spacetime and Geometry

Carroll, S. M. (2004). Addison-Wesley.

Geometric, accessible introduction.

Gravitation and Cosmology

Weinberg, S. (1972). Wiley.

Field-theoretic perspective on GR.

The Early Universe

Kolb, E. W. & Turner, M. S. (1990). Westview.

Classic cosmology + particle astrophysics.

Modern Cosmology

Dodelson, S. & Schmidt, F. (2020). 2nd ed. Academic Press.

Updated for Planck and LSS.

The Mathematical Theory of Black Holes

Chandrasekhar, S. (1983). Oxford.

Definitive mathematical treatment.

Foundation of GR (1915)

Einstein, A. "Die Feldgleichungen der Gravitation." Sitzungsber. Preuss. Akad. Wiss., 844–847.

The original field equations.

Hawking radiation (1974)

Hawking, S. W. "Black hole explosions?" Nature 248, 30–31.

Quantum thermodynamics of black holes.

Cosmic inflation (1981)

Guth, A. H. "Inflationary universe…" Phys. Rev. D 23, 347.

Inflationary paradigm.

AdS/CFT (1998)

Maldacena, J. "The Large N limit…" Adv. Theor. Math. Phys. 2, 231–252.

Most-cited paper in HEP. Holography.

Accelerating universe (1998)

Riess, A. G. et al. Astron. J. 116, 1009.

Type Ia supernovae → dark energy. Nobel 2011.

GW150914 (2016)

Abbott, B. P. et al. (LIGO/Virgo). Phys. Rev. Lett. 116, 061102.

First direct GW detection. Nobel 2017.

EHT M87* image (2019)

EHT Collaboration. Astrophys. J. Lett. 875.

First image of a black hole shadow.

Machine Learning & AI

From the PRML era to modern deep-learning, transformers, diffusion models and the foundation-model frontier.

Pattern Recognition and Machine Learning

Bishop, C. M. (2006). Springer.

"PRML" — the Bayesian-flavoured ML textbook.

The Elements of Statistical Learning

Hastie, T., Tibshirani, R., & Friedman, J. (2009). 2nd ed. Springer.

Statistical-learning canon.

Deep Learning

Goodfellow, I., Bengio, Y., & Courville, A. (2016). MIT Press.

Free at deeplearningbook.org.

Probabilistic Machine Learning

Murphy, K. P. (2022, 2023). MIT Press. (2 vols.)

Modern Bayesian ML in two volumes.

Mathematics for Machine Learning

Deisenroth, M. P., Faisal, A. A., & Ong, C. S. (2020). Cambridge.

Free at mml-book.com.

Reinforcement Learning: An Introduction

Sutton, R. S. & Barto, A. G. (2018). 2nd ed. MIT Press.

The RL standard.

Attention Is All You Need (2017)

Vaswani, A. et al. NeurIPS.

The Transformer paper.

Highly accurate protein structure prediction (2021)

Jumper, J. et al. (DeepMind). Nature 596, 583–589.

AlphaFold 2.

OpenAI Evolution Strategies (2017)

Salimans, T. et al. arXiv:1703.03864.

ES at deep-RL scale on Atari.

NEAT (2002)

Stanley, K. O. & Miikkulainen, R. Evol. Comput. 10(2).

NeuroEvolution of Augmenting Topologies.

Model-Agnostic Meta-Learning (2017)

Finn, C., Abbeel, P., & Levine, S. ICML.

MAML.

NequIP (2022)

Batzner, S. et al. Nat. Commun. 13, 2453.

E(3)-equivariant neural-network potentials.

FunSearch (2024)

Romera-Paredes, B. et al. Nature 625, 468–475.

LLM + evolutionary search recovers new mathematics.

No-Free-Lunch theorems (1997)

Wolpert, D. H. & Macready, W. G. IEEE Trans. Evol. Comput.

Foundational result on universal optimisation.

Biology, Genomics & Evolution

Cell biology, molecular biology, evolution, comparative genomics — the molecular toolkit of every animal-biophysics module on the site.

Molecular Biology of the Cell

Alberts, B. et al. (2022). 7th ed. Garland Science.

"Alberts" — the cell-biology bible.

Lehninger Principles of Biochemistry

Nelson, D. L. & Cox, M. M. (2021). 8th ed. W. H. Freeman.

Standard biochemistry text.

Molecular Biology of the Gene

Watson, J. D. et al. (2014). 7th ed. Pearson.

Watson lineage; molecular biology fundamentals.

The Selfish Gene

Dawkins, R. (1976; 40th anniv. ed. 2016). Oxford.

Gene-centred view of evolution.

Why Evolution Is True

Coyne, J. A. (2009). Viking.

Modern overview of evolutionary evidence.

The Vital Question

Lane, N. (2015). W. W. Norton.

Bioenergetics and the origin of complex life.

Schmidt-Nielsen, Animal Physiology

Schmidt-Nielsen, K. (1997). 5th ed. Cambridge.

Comparative animal physiology classic.

Mirceta et al. (2013) — myoglobin surface charge

Science 340, 1234192.

Convergent surface-charge evolution in deep-diving mammals.

Hamers-Casterman et al. (1993) — camel HCAbs

Nature 363, 446–448.

Discovery of heavy-chain-only antibodies.

Abegglen et al. (2015) — TP53 in elephants

JAMA 314, 1850–1860.

20 TP53 retrogenes and Peto's paradox.

Biophysics & Molecular Simulation

Protein folding, molecular dynamics, single-molecule biophysics, structural biology, and the bridge to ML potentials.

Physical Biology of the Cell

Phillips, R., Kondev, J., Theriot, J., & Garcia, H. (2013). 2nd ed. Garland.

Quantitative cell biology.

Biological Physics

Nelson, P. (2014). Updated 1st ed. W. H. Freeman.

Statistical-mechanics-flavoured biophysics.

Molecular Driving Forces

Dill, K. A. & Bromberg, S. (2010). 2nd ed. Garland.

Stat-mech approach to biology and chemistry.

Computer Simulation of Liquids

Allen, M. P. & Tildesley, D. J. (2017). 2nd ed. Oxford.

Molecular dynamics standard text.

Statistical Mechanics: Theory and Molecular Simulation

Tuckerman, M. E. (2010). Oxford.

MD with full theoretical context.

Nakajima (1958) / Zwanzig (1960) — projection operator

Prog. Theor. Phys. 20, 948 / J. Chem. Phys. 33, 1338.

Foundations of memory-kernel theory.

Craig & Manolopoulos (2004) — RPMD

J. Chem. Phys. 121, 3368.

Ring polymer molecular dynamics formalism.

Chemistry

Physical, organic, and inorganic chemistry; spectroscopy and the molecular ideas linking quantum mechanics to materials.

Atkins' Physical Chemistry

Atkins, P. & de Paula, J. (2018). 11th ed. Oxford.

Physical chemistry standard.

Organic Chemistry

Clayden, J., Greeves, N., & Warren, S. (2012). 2nd ed. Oxford.

Mechanistic organic chemistry.

Inorganic Chemistry

Housecroft, C. E. & Sharpe, A. G. (2018). 5th ed. Pearson.

Modern inorganic text.

Modern Quantum Chemistry

Szabo, A. & Ostlund, N. S. (1996). Dover.

Hartree-Fock and post-HF methods.

Earth & Climate Science

Plate tectonics, atmospheric science, oceanography, climatology — the physics of Earth as a coupled system.

Geodynamics

Turcotte, D. L. & Schubert, G. (2014). 3rd ed. Cambridge.

Quantitative geodynamics; tectonics standard.

Atmospheric Science: An Introductory Survey

Wallace, J. M. & Hobbs, P. V. (2006). 2nd ed. Academic Press.

Atmospheric-science textbook.

An Introduction to Dynamic Meteorology

Holton, J. R. & Hakim, G. J. (2012). 5th ed. Academic Press.

Atmospheric dynamics.

Descriptive Physical Oceanography

Talley, L. D. et al. (2011). 6th ed. Academic Press.

Modern oceanography reference.

IPCC AR6 Working Group I Report

IPCC (2021). The Physical Science Basis. Cambridge University Press.

Latest comprehensive climate-science assessment.

History & Philosophy of Science

How scientific ideas were made — from Newton through Einstein, the structure of scientific revolutions, and the philosophical foundations.

The Structure of Scientific Revolutions

Kuhn, T. S. (1962/2012). 4th ed. University of Chicago Press.

Paradigm shifts and normal science.

The Logic of Scientific Discovery

Popper, K. R. (1959). Hutchinson.

Falsifiability as the demarcation criterion.

A Brief History of Time

Hawking, S. W. (1988). Bantam Books.

Popular cosmology classic.

The Road to Reality

Penrose, R. (2004). Knopf.

Comprehensive overview of mathematical physics.

Subtle is the Lord

Pais, A. (1982). Oxford.

Definitive Einstein scientific biography.

Quantum Generations

Kragh, H. (1999). Princeton.

History of 20th-century physics.

Birth of a Theorem

Villani, C. (2012; 2015 trans.). Bodley Head / Faber & Faber.

Memoir of the Mouhot–Villani Landau-damping proof.

Open-Access Resources

Preprint servers, open-access journals, video-lecture archives, and free textbooks linked across the catalogue.

arXiv.org

Physics, mathematics, computer science, biology preprint server.

https://arxiv.org

gr-qc, hep-th, astro-ph.CO, math.*, cs.LG, q-bio.* — relevant tags.

bioRxiv

Biology preprint server.

https://www.biorxiv.org

INSPIRE-HEP

Comprehensive database for high-energy physics.

https://inspirehep.net

NASA ADS

Astrophysics Data System; astronomy and astrophysics literature.

https://ui.adsabs.harvard.edu

Living Reviews in Relativity

Open-access review journal in relativity.

https://link.springer.com/journal/41114

Project Euclid

Mathematics open-access platform.

https://projecteuclid.org

PLOS ONE / PLOS Biology / PLOS Comput. Biol.

Open-access journals across life sciences.

https://plos.org

Perimeter Institute Recorded Seminars

Video archive of theoretical-physics lectures.

https://pirsa.org

ICTP Lectures

Abdus Salam Centre — Dirac Medal recordings + advanced graduate lectures.

https://www.youtube.com/@ICTPchannel

3Blue1Brown

Grant Sanderson — visual mathematics video series.

https://www.3blue1brown.com

Khan Academy

Free K-12 through early-undergraduate maths and science.

https://www.khanacademy.org

MIT OpenCourseWare

Recorded MIT lecture courses; free.

https://ocw.mit.edu

Citation & Coverage Notes

  • Most course modules carry their own “Cite this material” widget that generates APA / MLA / BibTeX citations directly. Use that for module-level attribution; this bibliography lists the upstream textbooks and primary literature.
  • When in doubt about a primary source for a topic, search/coursesfor the relevant module — references are listed in the module text.
  • Suggestions, errors, missing references? Use the/contactpage or open an issue on the project repository.
Share:XRedditLinkedIn

CoursesHub.world·Open educational content across mathematics, physics, biology, and machine learning.

Bibliography & References — CoursesHub.world | CoursesHub.World