Synthical

Synthical is an artificial intelligence-driven research instrument developed to facilitate the processing of information and to augment the dissemination of knowledge for professionals in diverse disciplines, including materials science and theoretical chemistry. It assists users in conserving time and effort by synthesizing intricate research papers, offering precise definitions, and promoting collaboration within the research community.

Features of Synthical:

• AI-Enhanced Article Simplification: Employs advanced artificial intelligence algorithms to distill intricate research papers into concise and comprehensible summaries, thereby facilitating users' understanding of fundamental insights.
• Clarification of Terminology: Provides an AI-assisted glossary designed to elucidate specialized terminology, thereby enhancing understanding for users who may be unfamiliar with particular jargon.
• Research Assistance: Functions as a personal research assistant, facilitating users in the identification and examination of pertinent scientific literature.
• Community and Networking: Offers a platform for users to engage with their colleagues, thereby fostering collaboration and the exchange of knowledge among professionals.

• Academic Researchers: Remain informed about the most recent research developments and discoveries within their specific disciplines.
• Industry Scientists: Leverage the platform to inform their R&D efforts with cutting-edge scientific insights.
• Students: Especially advantageous for individuals pursuing studies in STEM fields, as they gain from accessible documents and elucidations of terminology.
• Policy Makers: Utilize Synthical to comprehend the implications of scientific research and to facilitate informed decision-making.
• correspondents: Employed by correspondents engaged in the fields of science and technology, as well as by amateur scientists monitoring contemporary research developments.