Improving Molecule Generation and Drug Discovery with a Knowledge-enhanced Generative Model

Autor: Malusare, Aditya, Aggarwal, Vaneet

Recent advancements in generative models have established state-of-the-art benchmarks in the generation of molecules and novel drug candidates. Despite these successes, a significant gap persists between generative models and the utilization of exten

Externí odkaz: http://arxiv.org/abs/2402.08790

Size Dependence in Flux-Flow Hall Effect using Time-Dependent Ginzburg-Landau Equations

Autor: Punyamoorty, Vineet, Malusare, Aditya, Sengupta, Shamashis, Pujari, Sumiran, Saha, Kasturi

Publikováno v: Phys. Rev. Research 3, 033144 (2021)

We study the Hall effect in square, planar type-II superconductors using numerical simulations of time dependent Ginzburg-Landau (TDGL) equations. The Hall field in some type-II superconductors displays sign-change behavior at some magnetic fields du

Externí odkaz: http://arxiv.org/abs/2102.02467

Understanding the Natural Language of DNA using Encoder-Decoder Foundation Models with Byte-level Precision.

Autor: Malusare A; School of Industrial Engineering, Purdue University, USA.; Institute for Cancer Research, Purdue University, USA., Kothandaraman H; Institute for Cancer Research, Purdue University, USA., Tamboli D; Elmore Family School of Electrical and Computer Engineering, Purdue University, USA., Lanman NA; Institute for Cancer Research, Purdue University, USA.; Department of Comparative Pathobiology, Purdue University, USA., Aggarwal V; School of Industrial Engineering, Purdue University, USA.; Institute for Cancer Research, Purdue University, USA.; Elmore Family School of Electrical and Computer Engineering, Purdue University, USA.

Publikováno v: ArXiv [ArXiv] 2024 Aug 22. Date of Electronic Publication: 2024 Aug 22.