Discovering effective drug combinations may now be easier thanks to a screening platform made public today by St. Jude ...

Through a novel combination of machine learning and atomic force microscopy, researchers in China have unveiled the molecular ...

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...

A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy ...

Materials informatics combines data analytics and engineering design, streamlining material development and enhancing ...

PhD graduates in analytical sciences can leverage transferable skills for careers in regulation, publishing, and startups, beyond traditional academia and R&D. Women in chromatography emphasize the ...

A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy of Sciences (CAS), has ...

Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

Alonso breaks down how advances in computational fluid dynamics and physics AI are enabling designers to simulate complex ...

Interview Kickstart works with a network of more than 700 instructors, many of whom are hiring managers and senior engineers at major technology companies. Programs include live classes, recorded ...

Machine learning tools can accelerate all stages of materials discovery, from initial screening to process development.