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Articles by
Akshatkumar Nigam
Quantum Computing-Enhanced Algorithm Unveils Novel Inhibitors for KRAS
13 February 2024 by
Mohammad Ghazi Vakili
and
others
Quantum Physics
,
Computational Engineering, Finance, and Science
Tartarus: A Benchmarking Platform for Realistic And Practical Inverse Molecular Design
11 October 2023 by
Akshatkumar Nigam
and
others
at
University of Groningen
Computational Engineering, Finance, and Science
Artificial Design of Organic Emitters via a Genetic Algorithm Enhanced by a Deep Neural Network
3 August 2023 by
Akshatkumar Nigam
and
others
Theoretical and Computational Chemistry
,
Physical Chemistry
Recent advances in the Self-Referencing Embedding Strings (SELFIES) library
7 February 2023 by
Alston Lo
and
others
Chemical Physics
,
Machine Learning
On scientific understanding with artificial intelligence
4 April 2022 by
Mario Krenn
and
others
Computers and Society
,
Machine Learning
SELFIES and the future of molecular string representations
31 March 2022 by
Mario Krenn
and
others
Chemical Physics
,
Machine Learning
A prospective observational study to evaluate cardiac safety of hydroxychloroquin using continuous ambulatory electrocardiographic telemetry holter monitoring.
29 March 2022 by
Rajeev Walia
and
others
Cardiovascular Medicine
JANUS: Parallel Tempered Genetic Algorithm Guided by Deep Neural Networks for Inverse Molecular Design
14 August 2021 by
Akshatkumar Nigam
and
others
Neural and Evolutionary Computing
,
Artificial Intelligence
A Comprehensive Discovery Platform for Organophosphorus Ligands for Catalysis
27 April 2021 by
Tobias Gensch
and
others
Catalysis
,
Artificial Intelligence
Beyond Generative Models: Superfast Traversal, Optimization, Novelty, Exploration and Discovery (STONED) Algorithm for Molecules using SELFIES
7 January 2021 by
Akshatkumar Nigam
and
others
Chemoinformatics
Curiosity in exploring chemical space: Intrinsic rewards for deep molecular reinforcement learning
17 December 2020 by
Luca Thiede
and
others
Machine Learning
,
Artificial Intelligence
Self-Referencing Embedded Strings (SELFIES): A 100% robust molecular string representation
5 March 2020 by
Mario Krenn
and
others
Machine Learning
,
Chemical Physics
Augmenting Genetic Algorithms with Deep Neural Networks for Exploring the Chemical Space
30 September 2019 by
Akshatkumar Nigam
and
others
Neural and Evolutionary Computing
,
Machine Learning