MACHINE LEARNING-ASSISTED COMPUTATIONAL CHEMISTRY FOR ACCELERATED MOLECULAR DESIGN AND SUSTAINABLE CHEMICAL INNOVATION
Machine learning-assisted computational chemistry has emerged as a transformative approach for accelerating molecular design and promoting sustainable chemical innovation by integrating data-driven algorithms with computational modeling techniques. This review provides an overview of the principles, methodologies, and...