• Recent Development in Analog Computation - A Brief Overview by Yang Xue [2015/04]

• Thirty eight things to do with live slime mould by Andrew Adamatzky [2015/12]
• Physarum-inspired Network Optimization: A Review by Yahui Sun [2017/12]
• Physarum polycephalum: Smart network adaptation by M. Le Verge-Serandour and K. Alim [2023/06]

• Computer Algebra and Material Design by Akihito Kikuchi [2016/12] 192 pp.

• Euclidean Distance Matrices: A Short Walk Through Theory, Algorithms and Applications by Ivan Dokmanic et al. [2015/02]

• Higher Order Accurate Space-Time Schemes for Computational Astrophysics -- Part I -- Finite Volume Methods by Dinshaw S. Balsara [2017/03]
• Thirty Years of the Finite Volume Method for Solid Mechanics by Philip Cardiff and Ismet Demirdžić [2018/10]

• Ten Simple Rules for Creating Biomolecular Graphics by Cameron Mura [PLoS Computational Biology 6(8), e1000918 (2010)]

• A survey of numerical methods utilizing mixed precision arithmetic by A. Abdelfattah et al. [2020/07]

• A concise introduction to molecular dynamics simulation: Theory and programming by A. Shekaari and M. Jafari [2021/03]

• Tutorial on Stochastic Simulation and Optimization Methods in Signal Processing by Marcelo Pereyra et al. [2015/05]

• Simulation Modeling by Florian Hartig [2018/12]

• Social Algorithms by Xin-She Yang [2018/05]

• Tensor Networks in a Nutshell by Jacob Biamonte and Ville Bergholm [2017/08]
• Review of Tensor Network Contraction Approaches by Shi-Ju Ran et al. [2017/08]
• The Tensor Networks Anthology: Simulation Techniques for Many-Body Quantum Lattice Systems by Pietro Silvi et al. [2017/10] 115 pp.

• Naive Bayes and Text Classification I - Introduction and Theory by Sebastian Raschka [2014/10]

• Topological Data Analysis by Larry Wasserman [2016/09]
• Introduction to Topological Quantum Computation by Ville Lahtinen and Jiannis K. Pachos [2017/05]
• The importance of the whole: topological data analysis for the network neuroscientist by Ann E. Sizemore et al. [2018/06]

• A review of mean-shift algorithms for clustering by Miguel Á Carreira-Perpiñán [2015/03]
• Big Data Technology Literature Review by Michael Bar-Sinai [2015/06]
• Coresets and Sketches by Jeff M. Phillips [2016/01]
• Practical Introduction to Clustering Data by Alexander K. Hartmann [2016/02]
• Astrophysics and Big Data: Challenges, Methods, and Tools by Mauro Garofalo et al. [2017/03]
• Particle Filters and Data Assimilation by Paul Fearnhead and Hans Künsch [2017/09]
• Data Assimilation in the Geosciences: An Overview on Methods, Issues and Perspectives by Alberto Carrassi et al. [2017/09]
• Model-Based Clustering by Bettina Grün [2018/07]
• A tutorial on Bayesian data assimilation by C. Grudzien and M. Bocquet [2021/12]

• Image compression overview by Martin Prantl [2014/10]
• An introduction to neural data compression by Y. Yang et al. [2022/02]

• Ten Simple Rules for Using a Raspberry Pi by Anthony C. Fletcher and Cameron Mura [2018/10] to learn about hardware-focused areas of computer science.
• The dry history of liquid computers by Andrew Adamatzky [2018/11]

• Linear optical quantum computing by Pieter Kok et al. [2005/12]
• Lecture notes on Optical Quantum Computing by Pieter Kok [2007/05]
• Optical Quantum Computing by Jeremy L. O'Brien [Science 318, 1467 (2007)]
• Optical quantum memory by A. I. Lvovsky et al. [Nature Photonics 3, 706 (2009)]
• Photonic Quantum Information Processing by Pieter Kok [2016/03]
• Recent advances on integrated quantum communications by Adeline Orieux and Eleni Diamanti [Journal of Optics 18, 083002 (2016)]
• Principles of Neuromorphic Photonics by Bhavin J. Shastri et al. [2018/01]
• Photonic quantum information processing by Fulvio Flamini et al. [2018/03]
• Photonic Quantum Information Processing: A Concise Review by Sergei Slussarenko and Geoff J. Pride [2019/07]
• Renaissance of analogue optical computing by N. Stroev and N. G. Berloff [2023/01]

• Layer-Adapted Meshes: Milestones in Fifty Years of History by Hans-Goerg Roos [2019/09]

• Algorithms inspired by nature: a survey by Pranshu Gupta [2019/03]

• Exact Online String Matching Bibliography by Simone Faro [2016/05]
• A Survey of Utility-Oriented Pattern Mining by Wensheng Gan et al. [2018/05]

• C++:
  • MIT Online Courseware: 6.096 (Introduction to C++)
  • C++ Beginner's Tutorial [The Penguin Programmer]
  • Learn C++ [cpp.com]
  • Beginner's Guide to C++ [Udemy]
  • C++, Short and Sweet by Jeremy Siek [Udemy]
  • C++ Tutorial for Complete Beginners by John Purcell [Udemy]
• Fortran:
  • Fortran Tutorial by Janet A. Nicholson
  • Fortran Wiki Tutorials Page [list of many sites]
  • Fortran 77 Tutorial by Erik Boman et al. [Stanford Univ.]
• Java:
  • Introduction to Computer Science using Java by Bradley Kjell
  • The Java Tutorials [Oracle.com]
  • Java Tutorial for Complete Beginners by John Purcell [Udemy]
• Python:
  • Python Software Foundation Tutorial
  • Use of Python Programming Language in Astronomy and Science by Daniel M. Faes [2012/12]
  • An Introduction to Programming for Bioscientists: A Python-based Primer by Berk Ekmekci et al. [2016/05]

• R:
  • A Simple Guide to S3 Methods by Nicholas Tierney [2016/08]

• Synergies between Exoplanet Surveys and Variable Star Research by Geza Kovacs [2016/12]
• Higher Order Accurate Space-Time Schemes for Computational Astrophysics -- Part I -- Finite Volume Methods by Dinshaw S. Balsara [2017/03]
• Astrophysics and Big Data: Challenges, Methods, and Tools by Mauro Garofalo et al. [2017/03]
• Extracting Insights from Astrophysics Simulations by Nathan J. Goldbaum [2017/11]
• A survey of computational tools in solar physics by M. G. Bobra et al. [2020/03]

• A Review of Automatic Differentiation and Its Efficient Implementation by Charles C. Margossian [2018/11]

• Data-enabled Theoretical Chemistry by Matthias Rupp et al. [2018/06]

• An overview of numerical and analytical methods for solving ordinary differential equations by B. Denis [2020/12]

• A review of matrix algebra for power and energy applications by A. Garces-Ruiz [2024/05]

• An Introduction to Adjoints and Output Error Estimation in Computational Fluid Dynamics by Steven M. Kast [2017/12]
• Approaches for Modeling of the Complex Heat and Fluid Flows and Other Physical Processes of Fractal Nature by Ivan V. Kazachkov [2018/02]

• Computational Logic: Its Origins and Applications by Lawrence C. Paulson [2017/12]

• Automated computation of materials properties by Cormac Toher et al. [2018/05]

• A Survey on Retrieval of Mathematical Knowledge by Ferruccio Guidi and C. Sacerdoti Coen [2015/05]

• Numerical matrix decomposition and its modern applications: A rigorous first course by J. Lu [2021/07]
• A review of matrix algebra for power and energy applications by A. Garces-Ruiz [2024/05]

• An overview of deep learning in medical imaging focusing on MRI by Alexander Selvikvåg Lundervold and Arvid Lundervold [2018/11]

• Impact of Detector Simulation in Particle Collider Experiments by V. Daniel Elvira [2017/06]
• Deep Learning and its Application to LHC Physics by Dan Guest et al. [2018/06]

• Challenges in Large Scale Quantum Mechanical Calculations by Laura E. Ratcliff et al. [2016/09]

• Bayesian Statistics in Software Engineering: Practical Guide and Case Studies by Carlo A. Furia [2016/08]

THE NET ADVANCE OF PHYSICS