Search Results - "Manee, Vidhyadhar"

Site-specific template generative approach for retrosynthetic planning by Shee, Yu, Li, Haote, Zhang, Pengpeng, Nikolic, Andrea M., Lu, Wenxin, Kelly, H. Ray, Manee, Vidhyadhar, Sreekumar, Sanil, Buono, Frederic G., Song, Jinhua J., Newhouse, Timothy R., Batista, Victor S.

“…Retrosynthesis, the strategy of devising laboratory pathways by working backwards from the target compound, is crucial yet challenging. Enhancing…”
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A Slug Flow Platform with Multiple Process Analytics Facilitates Flexible Reaction Optimization by Wagner, Florian, Sagmeister, Peter, Jusner, Clemens E., Tampone, Thomas G., Manee, Vidhyadhar, Buono, Frederic G., Williams, Jason D., Kappe, C. Oliver

“…Flow processing offers many opportunities to optimize reactions in a rapid and automated manner, yet often requires relatively large quantities of input…”
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Learning to navigate a crystallization model with Deep Reinforcement Learning by Manee, Vidhyadhar, Baratti, Roberto, Romagnoli, Jose A.

“…•Convolutional Neural Network is used to measure the size distribution of crystals.•Reinforcement Learning is used to learn an optimal control policy.•Removes…”
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Ligand-Based Principal Component Analysis Followed by Ridge Regression: Application to an Asymmetric Negishi Reaction by Kelly, H. Ray, Sreekumar, Sanil, Manee, Vidhyadhar, Cuomo, Abbigayle E., Newhouse, Timothy R., Batista, Victor S., Buono, Frederic

“…In this study, we introduce an approach for predicting the enantioselectivity of P-chiral monophosphorus ligands from ligand-based descriptors that can be…”
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Optimal Strategies to Control Particle Size and Variance in Antisolvent Crystallization Operations Using Deep Rl by Vidhyadhar Manee, Roberto Baratti, Jose A. Romagnoli

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Self-Optimizing Flow Reactions for Sustainability: An Experimental Bayesian Optimization Study by Wagner, Florian L., Sagmeister, Peter, Tampone, Thomas G., Manee, Vidhyadhar, Yerkozhanov, Dauzhan, Buono, Frederic G., Williams, Jason D., Kappe, C. Oliver

“…Self-optimizing flow reactors have received significant attention in recent years, with Bayesian optimization (BO) being identified as the most effective…”
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A Comparative Study of Different Deep Learning Approaches for the Prediction of Natural Gas Demand in the United States by Vidhyadhar Manee, Jorge Chebeir, Jose Romagnoli

“…In this work, the impact of network architecture on the natural gas demand and price forecasts task is evaluated. Recurrent models such as GRU (Gated Recurrent…”
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Comprehensive Investment Framework for Optimal Exploitation of Liquid-Rich Unconventional Reservoirs and Natural Gas Distribution by Chebeir, Jorge, Asala, Hope, Manee, Vidhyadhar, Gupta, Ipsita, Romagnoli, Jose

“…A techno-economic framework is proposed for the optimal exploitation of unconventional shale reservoirs and the delivery of shale gas products within the…”
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