Zobrazeno 1 - 10
of 4 177
pro vyhledávání: '"A., Chakradhar"'
Autor:
Chakradhar, Tirumala
We consider the Steklov problem on differential $p$-forms defined by M. Karpukhin and present geometric eigenvalue bounds in the setting of warped product manifolds in various scenarios. In particular, we obtain Escobar type lower bounds for warped p
Externí odkaz:
http://arxiv.org/abs/2410.21138
In recent years, natural language processing (NLP) models have demonstrated remarkable capabilities in various domains beyond traditional text generation. In this work, we introduce PeptideGPT, a protein language model tailored to generate protein se
Externí odkaz:
http://arxiv.org/abs/2410.19222
We consider the magnetic Steklov eigenvalue problem on compact Riemannian manifolds with boundary for generic magnetic potentials and establish various results concerning the spectrum. We show a Shikegawa type gauge-equivalence for the magnetic Stekl
Externí odkaz:
http://arxiv.org/abs/2410.07462
Peptides are essential in biological processes and therapeutics. In this study, we introduce Multi-Peptide, an innovative approach that combines transformer-based language models with Graph Neural Networks (GNNs) to predict peptide properties. We com
Externí odkaz:
http://arxiv.org/abs/2407.03380
Direct view of gate-tunable miniband dispersion in graphene superlattices near the magic twist angle
Autor:
Jiang, Zhihao, Lee, Dongkyu, Jones, Alfred J. H., Park, Youngju, Hsieh, Kimberly, Majchrzak, Paulina, Sahoo, Chakradhar, Nielsen, Thomas S., Watanabe, Kenji, Taniguchi, Takashi, Hofmann, Philip, Miwa, Jill A., Chen, Yong P., Jung, Jeil, Ulstrup, Søren
Superlattices from twisted graphene mono- and bi-layer systems give rise to on-demand many-body states such as Mott insulators and unconventional superconductors. These phenomena are ascribed to a combination of flat bands and strong Coulomb interact
Externí odkaz:
http://arxiv.org/abs/2405.17148
We introduce an extension of the non-equilibrium dynamical mean field theory to incorporate the effects of static random disorder in the dynamics of a many-particle system by integrating out different disorder configurations resulting in an effective
Externí odkaz:
http://arxiv.org/abs/2405.13876
Retrieval-augmented generation (RAG) systems combine the strengths of language generation and information retrieval to power many real-world applications like chatbots. Use of RAG for understanding of videos is appealing but there are two critical li
Externí odkaz:
http://arxiv.org/abs/2404.12309
Publikováno v:
International Journal of Machine Learning and Cybernetics ( 2024 )
Automatic text summarization (TS) plays a pivotal role in condensing large volumes of information into concise, coherent summaries, facilitating efficient information retrieval and comprehension. This paper presents a novel framework for abstractive
Externí odkaz:
http://arxiv.org/abs/2404.08685
The pursuit of novel alloys tailored to specific requirements poses significant challenges for researchers in the field. This underscores the importance of developing predictive techniques for essential physical properties of alloys based on their ch
Externí odkaz:
http://arxiv.org/abs/2403.19783
Intrinsically Disordered Proteins (IDPs) constitute a large and structure-less class of proteins with significant functions. The existence of IDPs challenges the conventional notion that the biological functions of proteins rely on their three-dimens
Externí odkaz:
http://arxiv.org/abs/2403.19762