Focus and Scope

Frontier in Science (FS) is a multidisciplinary journal that explores the intersection of artificial intelligence, computational modeling, and scientific discovery. FS seeks to advance knowledge in AI-assisted research methodologies, scientific simulations, and data-driven innovations.

Key Topics Include:

• AI in physics, chemistry, and biological sciences
• Computational modeling and AI-driven simulations
• Big data analytics in scientific research
• Machine learning applications in drug discovery and medical advancements
• AI-enhanced experimental methodologies and automation

FS welcomes research papers, systematic reviews, and experimental studies from diverse scientific fields.

Open Access Policy

FS ensures open access to all research, supporting knowledge-sharing and interdisciplinary collaboration. Articles are published under the CC BY 4.0 license, granting unrestricted use with proper attribution.

Copyright Notice

• Authors retain full rights while granting FS first publication privileges.
• Articles under CC BY 4.0 can be widely shared and adapted with citation.
• Authors are encouraged to distribute their research through academic platforms.

Sponsorship and Disclosure

Any external funding received by FS is transparently disclosed to maintain trust and neutrality.

Archiving and Preservation

FS is backed by LOCKSS and CLOCKSS to safeguard all published content.

Privacy Statement

Personal information collected is strictly for editorial and communication purposes. FS upholds data protection and privacy regulations.

Our Vision

FS aims to push the boundaries of AI-driven scientific research, fostering discoveries that shape the future of technology and knowledge.

Email: contact@frontierinscience.org
Website: www.frontierinscience.org