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AkshatKumar Nigam

2 accepted papers

2023

Tartarus: A Benchmarking Platform for Realistic And Practical Inverse Molecular Design

NeurIPS 2023poster

The efficient exploration of chemical space to design molecules with intended properties enables the accelerated discovery of drugs, materials, and catalysts, and is one of the most important outstanding challenges in chemistry. Encouraged by the recent surge in computer power and artificial intelli…

2020

Augmenting Genetic Algorithms with Deep Neural Networks for Exploring the Chemical Space

ICLR 2020poster

Challenges in natural sciences can often be phrased as optimization problems. Machine learning techniques have recently been applied to solve such problems. One example in chemistry is the design of tailor-made organic materials and molecules, which requires efficient methods to explore the chemical…

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