Zobrazeno 1 - 10
of 1 972
pro vyhledávání: '"Agarwal,Ritesh"'
Autor:
Khandelwal, Utkarsh, Jog, Harshvardhan, Xu, Shupeng, Chen, Yicong, Qu, Kejian, Zhao, Chengxi, Mele, Eugene, Shoemaker, Daniel P., Agarwal, Ritesh
The interaction of light with correlated Weyl semimetals (WSMs) provides a unique platform for exploring non-equilibrium phases and fundamental properties such as chirality. Here, we investigate the structural chirality of (TaSe4)2I, a correlated WSM
Externí odkaz:
http://arxiv.org/abs/2405.18513
Topological flat bands (TFBs) are increasingly recognized as an important paradigm to study topological effects in the context of strong correlation physics. As a representative example, recently it has been theoretically proposed that the topologica
Externí odkaz:
http://arxiv.org/abs/2402.09665
Autor:
Ji, Zhurun, Zhao, Yuzhou, Chen, Yicong, Zhu, Ziyan, Wang, Yuhui, Liu, Wenjing, Modi, Gaurav, Mele, Eugene J., Jin, Song, Agarwal, Ritesh
Studies of moire systems have elucidated the exquisite effect of quantum geometry on the electronic bands and their properties, leading to the discovery of new correlated phases. However, most experimental studies have been confined to a few layers i
Externí odkaz:
http://arxiv.org/abs/2312.10954
Autor:
Jog, Harshvardhan, Harnagea, Luminita, Rout, Dibyata, Taniguchi, Takashi, Watanabe, Kenji, Mele, Eugene J., Agarwal, Ritesh
Publikováno v:
Nano Letters 2023, 23, 20, 9634-9640
The strongly correlated charge density wave (CDW) phase of 1T-TiSe$_2$ is being extensively researched to verify the claims of a unique chiral order due to the presence of three equivalent Fermi wavevectors involved in the CDW formation. Characteriza
Externí odkaz:
http://arxiv.org/abs/2304.13170
Publikováno v:
Phys. Rev. Lett. 131, 053802 (2023)
Inspired from electronic systems, topological photonics aims to engineer new optical devices with robust properties. In many cases, the ideas from topological phases protected by internal symmetries in fermionic systems are extended to those protecte
Externí odkaz:
http://arxiv.org/abs/2303.12617
Autor:
Dhooria, Sahajal, Babu, Vikram, Dhir, Varun, Sehgal, Inderpaul Singh, Prasad, Kuruswamy Thurai, Muthu, Valliappan, Bal, Amanjit, Debi, Uma, Garg, Mandeep, Agarwal, Ritesh, Aggarwal, Ashutosh Nath
Publikováno v:
In Medical Journal Armed Forces India December 2024 80 Supplement 1:S57-S65
Autor:
Sehgal, Inderpaul Singh, Saxena, Puneet, Dhooria, Sahajal, Muthu, Valliappan, Kathirvel, Soundappan, Prasad, Kuruswamy Thurai, Garg, Mandeep, Rudramurthy, Shivaprakash Mandya, Aggarwal, Ashutosh Nath, Chakrabarti, Arunaloke, Agarwal, Ritesh
Publikováno v:
In The Journal of Allergy and Clinical Immunology: In Practice December 2024 12(12):3269-3273
Autor:
Muthu, Valliappan, Agarwal, Ritesh, Rudramurthy, Shivaprakash Mandya, Thangaraju, Deepak, Shevkani, Manoj Radhakishan, Patel, Atul K., Shastri, Prakash Srinivas, Tayade, Ashwini, Bhandari, Sudhir, Gella, Vishwanath, Savio, Jayanthi, Madan, Surabhi, Hallur, Vinaykumar, Maturu, Venkata Nagarjuna, Srinivasan, Arjun, Sethuraman, Nandini, Singh Sibia, Raminder Pal, Pujari, Sanjay, Mehta, Ravindra, Singhal, Tanu, Saxena, Puneet, Gupta, Varsha, Nagvekar, Vasant, Prayag, Parikshit, Patel, Dharmesh, Xess, Immaculata, Savaj, Pratik, Sehgal, Inderpaul Singh, Panda, Naresh, Rajagopal, Gayathri Devi, Parwani, Riya Sandeep, Patel, Kamlesh, Deshmukh, Anuradha, Vyas, Aruna, Gandra, Raghava Rao, Sistla, Srinivas Kishore, Padaki, Priyadarshini A., Ramar, Dharshni, Sarkar, Saurav, Rachagulla, Bharani, Vallandaramam, Pattabhiraman, Premachandran, Krishna Prabha, Pawar, Sunil, Gugale, Piyush, Hosamani, Pradeep, Dutt, Sunil Narayan, Nair, Satish, Kalpakkam, Hariprasad, Badhwar, Sanjiv, Kompella, Kiran Kumar, Singla, Nidhi, Navlakhe, Milind, Prayag, Amrita, Singh, Gagandeep, Dhakecha, Poorvesh, Chakrabarti, Arunaloke
Publikováno v:
In Clinical Microbiology and Infection March 2024 30(3):368-374
Autor:
Muthu, Valliappan1, Agarwal, Ritesh1 agarwal.ritesh@outlook.in, Rudramurthy, Shivaprakash Mandya2, Thangaraju, Deepak3, Shevkani, Manoj Radhakishan4, Patel, Atul K.5, Shastri, Prakash Srinivas6, Tayade, Ashwini7, Bhandari, Sudhir8, Gella, Vishwanath9, Savio, Jayanthi10, Madan, Surabhi11, Hallur, Vinaykumar12, Maturu, Venkata Nagarjuna13, Srinivasan, Arjun14, Sethuraman, Nandini15, Sibia, Raminder Pal Singh16, Pujari, Sanjay17, Mehta, Ravindra18, Singhal, Tanu19
Publikováno v:
Lung India. May/Jun2024, Vol. 41 Issue 3, p221-224. 4p.
Autor:
Wu, Tao, Chio, Ellie Ka-In, Cheng, Heng-Tze, Du, Yu, Rendle, Steffen, Kuzmin, Dima, Agarwal, Ritesh, Zhang, Li, Anderson, John, Singh, Sarvjeet, Chandra, Tushar, Chi, Ed H., Li, Wen, Kumar, Ankit, Ma, Xiang, Soares, Alex, Jindal, Nitin, Cao, Pei
Many recent advances in neural information retrieval models, which predict top-K items given a query, learn directly from a large training set of (query, item) pairs. However, they are often insufficient when there are many previously unseen (query,
Externí odkaz:
http://arxiv.org/abs/2008.02930