![](https://dblp.dagstuhl.de/img/logo.ua.320x120.png)
![](https://dblp.dagstuhl.de/img/dropdown.dark.16x16.png)
![](https://dblp.dagstuhl.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.dagstuhl.de/img/search.dark.16x16.png)
![search dblp](https://dblp.dagstuhl.de/img/search.dark.16x16.png)
default search action
Jay Pathak
Person information
Refine list
![note](https://dblp.dagstuhl.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [i16]Zongren Zou, Adar Kahana, Enrui Zhang, Eli Turkel, Rishikesh Ranade, Jay Pathak, George Em Karniadakis:
Large scale scattering using fast solvers based on neural operators. CoRR abs/2405.12380 (2024) - 2023
- [i15]Rucha Apte
, Sheel Nidhan, Rishikesh Ranade, Jay Pathak:
Diffusion model based data generation for partial differential equations. CoRR abs/2306.11075 (2023) - 2022
- [c5]Rishikesh Ranade, Haiyang He, Jay Pathak, Norman Chang, Akhilesh Kumar, Jimin Wen:
A Thermal Machine Learning Solver For Chip Simulation. MLCAD 2022: 111-117 - [c4]Rishikesh Ranade, Chris Hill, Lalit Ghule, Jay Pathak:
A composable machine-learning approach for steady-state simulations on high-resolution grids. NeurIPS 2022 - [i14]Enrui Zhang, Adar Kahana, Eli Turkel, Rishikesh Ranade, Jay Pathak, George Em Karniadakis:
A Hybrid Iterative Numerical Transferable Solver (HINTS) for PDEs Based on Deep Operator Network and Relaxation Methods. CoRR abs/2208.13273 (2022) - [i13]Rishikesh Ranade, Haiyang He, Jay Pathak, Norman Chang, Akhilesh Kumar, Jimin Wen:
A Thermal Machine Learning Solver For Chip Simulation. CoRR abs/2209.04741 (2022) - [i12]Rishikesh Ranade, Chris Hill, Lalit Ghule, Jay Pathak:
A composable machine-learning approach for steady-state simulations on high-resolution grids. CoRR abs/2210.05837 (2022) - [i11]Adar Kahana, Enrui Zhang, Somdatta Goswami, George Em Karniadakis, Rishikesh Ranade, Jay Pathak:
On the Geometry Transferability of the Hybrid Iterative Numerical Solver for Differential Equations. CoRR abs/2210.17392 (2022) - [i10]Lalit Ghule, Rishikesh Ranade, Jay Pathak:
NLP Inspired Training Mechanics For Modeling Transient Dynamics. CoRR abs/2211.02716 (2022) - 2021
- [j2]Jaydeep Rade
, Aditya Balu
, Ethan Herron, Jay Pathak, Rishikesh Ranade
, Soumik Sarkar
, Adarsh Krishnamurthy
:
Algorithmically-consistent deep learning frameworks for structural topology optimization. Eng. Appl. Artif. Intell. 106: 104483 (2021) - [c3]Jay Pathak
, Anand D. Darji:
Analysis of Standard Cells performance for In0.53Ga0.47As FinFET with underlap fin length for High Speed Applications. VDAT 2021: 1-4 - [i9]Rishikesh Ranade, Jay Pathak:
ActivationNet: Representation learning to predict contact quality of interacting 3-D surfaces in engineering designs. CoRR abs/2103.11288 (2021) - [i8]Rishikesh Ranade, Chris Hill, Haiyang He, Amir Maleki, Jay Pathak:
A Latent space solver for PDE generalization. CoRR abs/2104.02452 (2021) - [i7]Lu Lu, Haiyang He, Priya Kasimbeg, Rishikesh Ranade, Jay Pathak:
One-shot learning for solution operators of partial differential equations. CoRR abs/2104.05512 (2021) - [i6]Amir Maleki, Jan Heyse, Rishikesh Ranade, Haiyang He, Priya Kasimbeg, Jay Pathak:
Geometry encoding for numerical simulations. CoRR abs/2104.07792 (2021) - [i5]Rishikesh Ranade, Chris Hill, Haiyang He, Amir Maleki, Norman Chang, Jay Pathak:
A composable autoencoder-based iterative algorithm for accelerating numerical simulations. CoRR abs/2110.03780 (2021) - 2020
- [i4]Rishikesh Ranade
, Chris Hill, Jay Pathak:
DiscretizationNet: A Machine-Learning based solver for Navier-Stokes Equations using Finite Volume Discretization. CoRR abs/2005.08357 (2020) - [i3]Haiyang He, Jay Pathak:
An unsupervised learning approach to solving heat equations on chip based on Auto Encoder and Image Gradient. CoRR abs/2007.09684 (2020) - [i2]Tiffany Fan, Kailai Xu, Jay Pathak, Eric Darve:
Solving Inverse Problems in Steady State Navier-Stokes Equations using Deep Neural Networks. CoRR abs/2008.13074 (2020) - [i1]Jaydeep Rade, Aditya Balu, Ethan Herron, Jay Pathak, Rishikesh Ranade, Soumik Sarkar, Adarsh Krishnamurthy:
Physics-consistent deep learning for structural topology optimization. CoRR abs/2012.05359 (2020)
2010 – 2019
- 2019
- [j1]Jay Pathak
, Anand D. Darji:
Assessment of interface traps in In0.53Ga0.47As FinFET with gate-to-source/drain underlap for sub-14 nm technology node to impede short channel effect. IET Circuits Devices Syst. 13(4): 428-434 (2019) - [c2]Jay Pathak
, Anand D. Darji:
Stability Analysis of SRAM Designed Using In0.53Ga0.47As nFinFET with Underlap Region. VLSID 2019: 502-503 - 2017
- [c1]Jay Pathak
, Anand D. Darji:
Investigation of TCADs Models for Characterization of Sub 16 nm In _0.53 Ga _0.47 As FinFET. VDAT 2017: 279-286
Coauthor Index
![](https://dblp.dagstuhl.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-06-19 21:03 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint