Machine Learning: Science and Techonology

Plasma Science and Technology

Quantum Science and Technology

Semiconductor Science and Technology

Superconductor Science and Technology

The Planetary Science Journal

Surface Science Spectra

Machine Learning: Science and Technology | IOP Publishing

Plasma Sources Science and Technology

Journal of Vacuum Science and Technology

Advances in Natural Sciences: Nanoscience and Nanotechnology

Modelling and Simulation in Materials Science and Engineering

Chaos: An Interdisciplinary Journal of Nonlinear Science

Journal of Vacuum Science & Technology B

Journal of Vacuum Science & Technology A

Applications of Machine Learning 2022

Applications of Machine Learning 2023

Applications of Machine Learning 2021

Applications of Machine Learning 2020

Journal of Machine Learning Research

Journal of Machine Learning Research

The Journal of Machine Learning Research

Machine Learning with Applications | Elsevier

Pattern recognition and machine learning.
nork: Bishop, Christopher M
Argitaratua: (2006)

ECS Journal of Solid State Science and Technology

Journal of Vacuum Science & Technology B: Microelectronics Processing and Phenomena

Atmospheric science : an introductory survey /
nork: Wallace, John M.
Argitaratua: (2006)

High Power Laser Science and Engineering

Why machines learn : the elegant math behind modern ai /
nork: Ananthaswamy, Anil
Argitaratua: (2024)

Journal of Vacuum Science & Technology B: Microelectronics and Nanometer Structures Processing, Measurement, and Phenomena

Proceedings of the 2018 International Conference on Machine Learning and Machine Intelligence

Proceedings of the Machine Learning on HPC Environments

International Journal of Machine Learning and Cybernetics

ACM Transactions on Probabilistic Machine Learning

Proceedings of the 6th International Conference on Machine Learning and Machine Intelligence

The constants of nature : from alpha to omega--the numbers that encode the deepest secrets of the universe /
nork: Barrow, John D
Argitaratua: (2002)

Fundamentals of physics.
nork: Halliday, David
Argitaratua: (2008)