most citedCarbNN: A Novel Active Transfer Learning Neural Network To Build De Novo Metal Organic Frameworks (MOFs) for Carbon Capture

2 citations · 3 across the 3 of their papers we have counts for

collaborators

3 papers

cs.AI2024

Planning vs Reasoning: Ablations to Test Capabilities of LoRA layers

Neel Redkar

Low-Rank Adaptation (LoRA) layers have emerged as a promising approach for efficient model fine-tuning, but their capabilities and limitations have not been fully explored. This pa…

cs.CL2023★ 1 cited

CLAMP: A Contrastive Language And Molecule Pre-training Network

Neel Redkar

This paper highlights a shift in how to approach material generation. Instead of material-to-material, we propose a language-to-material generation architecture that utilizes milli…

cs.LG2023★ 2 cited

CarbNN: A Novel Active Transfer Learning Neural Network To Build De Novo Metal Organic Frameworks (MOFs) for Carbon Capture

Neel Redkar

Over the past decade, climate change has become an increasing problem with one of the major contributing factors being carbon dioxide (CO2) emissions; almost 51% of total US carbon…