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A

Anand Chandrasekaran

university system of georgia

22H指数
77论文数
4.3K被引数
收录论文 22
发表时间
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Non-Cuffed Hemodialysis Catheter-Related Septic Thrombophlebitis of the Internal Jugular Vein Presenting With Recurrent Bacteremia and Septic Pulmonary Embolism非 cuff 血液透析导管相关颈内静脉脓毒性血栓性静脉炎，表现为复发性菌血症和脓毒性肺栓塞
errHemodialysis International
IF1.2
err2026-03-01
err0
PREAI
errSathiavageesan, Subrahmanian; Chandrasekaran, Anand
err分享
err收藏
Leveraging high-throughput molecular simulations and machine learning for the design of chemical mixtures利用高通量分子模拟和机器学习进行化学混合物设计
errNPJ COMPUTATIONAL MATERIALS
IF11.9
err2025-03-17
err0
errOAAI
errChew, Alex K.; Afzal, Mohammad Atif Faiz; Kaplan, Zachary; Collins, Eric M.; Gattani, Suraj; Misra, Mayank; Chandrasekaran, Anand; Leswing, Karl; Halls, Mathew D.
err分享
err收藏
Designing the next generation of polymers with machine learning and physics-based models
errMACHINE LEARNING-SCIENCE AND TECHNOLOGY
IF4.6
err2024-11-04
err0
errOAAI
errChew, Alex K.; Afzal, Mohammad Atif Faiz; Chandrasekaran, Anand; Kamps, Jan Henk; Ramakrishnan, Vaidya
err分享
err收藏
Machine learning-based design of pincer catalysts for polymerization reaction基于机器学习的聚合反应钳形催化剂设计
errJOURNAL OF CATALYSIS
IF6.5
err2024-11-01
err0
PREAI
errDinda, Shrabani; Bhola, Tanvi; Pant, Suyash; Chandrasekaran, Anand; Chew, Alex K.; Halls, Mathew D.; Sastry, Madhavi
err分享
err收藏
Advancing material property prediction: using physics-informed machine learning models for viscosity推进材料特性预测: 使用物理通知的机器学习模型进行粘度
errJOURNAL OF CHEMINFORMATICS
IF5.7
err2024-03-14
err4
errOAAI
errChew, Alex K.; Sender, Matthew; Kaplan, Zachary; Chandrasekaran, Anand; Chief Elk, Jackson; Browning, Andrea R.; Kwak, H. Shaun; Halls, Mathew D.; Afzal, Mohammad Atif Faiz
err分享
err收藏
High-Throughput Screening of Hole Transport Materials for Quantum Dot Light-Emitting Diodes
errCHEMISTRY OF MATERIALS
IF7
err2023-06-27
err7
PREAI
errAbroshan, Hadi; Kwak, H. Shaun; Chandrasekaran, Anand; Chew, Alex K.; Fonari, Alexandr; Halls, Mathew D.
err分享
err收藏
Active Learning Accelerates Design and Optimization of Hole-Transporting Materials for Organic Electronics
errFRONTIERS IN CHEMISTRY
IF4.2
err2022-01-17
err10
errOAAI
errAbroshan, Hadi; Kwak, H. Shaun; An, Yuling; Brown, Christopher; Chandrasekaran, Anand; Winget, Paul; Halls, Mathew D.
err分享
err收藏
A Deep Learning Solvent-Selection Paradigm Powered by a Massive Solvent/Nonsolvent Database for Polymers
errMACROMOLECULES
IF5.2
err2020-06-11
err56
PREAI
errChandrasekaran, Anand; Kim, Chiho; Venkatram, Shruti; Ramprasad, Rampi
err分享
err收藏
A charge density prediction model for hydrocarbons using deep neural networks
errMACHINE LEARNING-SCIENCE AND TECHNOLOGY
IF4.6
err2020-03-18
err22
errOAAI
errKamal, Deepak; Chandrasekaran, Anand; Batra, Rohit; Ramprasad, Rampi
err分享
err收藏
A multi-fidelity information-fusion approach to machine learn and predict polymer bandgap机器学习和预测聚合物带隙的多保真度信息融合方法
errCOMPUTATIONAL MATERIALS SCIENCE
IF3.3
err2020-02-01
err73
PREAI
errPatra, Abhirup; Batra, Rohit; Chandrasekaran, Anand; Kim, Chiho; Tran Doan Huan; Ramprasad, Rampi
err分享
err收藏
Iterative-Learning Strategy for the Application-Specific Atomistic Force Fields (vol 123, pg 20715, 2019)
errJOURNAL OF PHYSICAL CHEMISTRY C
IF3.2
err2019-10-01
err0
errOAAI
errTran Doan Huang; Batra, Rohit; Chapman, James; Kim, Chiho; Chandrasekaran, Anand; Ramprasad, Rampi
err分享
err收藏
Critical Assessment of the Hildebrand and Hansen Solubility Parameters for Polymers
errJOURNAL OF CHEMICAL INFORMATION AND MODELING
IF5.3
err2019-09-23
err165
PREAI
errVenkatram, Shruti; Kim, Chiho; Chandrasekaran, Anand; Ramprasad, Rampi
err分享
err收藏
Iterative-Learning Strategy for the Development of Application-Specific Atomistic Force Fields
errJOURNAL OF PHYSICAL CHEMISTRY C
IF3.2
err2019-08-09
err20
PREAI
errTran Doan Huan; Batra, Rohit; Chapman, James; Kim, Chiho; Chandrasekaran, Anand; Ramprasad, Rampi
err分享
err收藏
General Atomic Neighborhood Fingerprint for Machine Learning Based Methods
errJOURNAL OF PHYSICAL CHEMISTRY C
IF3.2
err2019-06-06
err39
PREAI
errBatra, Rohit; Huan Doan Tran; Kim, Chiho; Chapman, James; Chen, Lihua; Chandrasekaran, Anand; Ramprasad, Rampi
err分享
err收藏
Electrochemical Stability Window of Polymeric Electrolytes聚合物电解质的电化学稳定窗口
errCHEMISTRY OF MATERIALS
IF7
err2019-05-28
err107
PREAI
errChen, Lihua; Venkatram, Shruti; Kim, Chiho; Batra, Rohit; Chandrasekaran, Anand; Ramprasad, Rampi
err分享
err收藏
Solving the electronic structure problem with machine learning
errNPJ COMPUTATIONAL MATERIALS
IF11.9
err2019-02-18
err236
errOAAI
errChandrasekaran, Anand; Kamal, Deepak; Batra, Rohit; Kim, Chiho; Chen, Lihua; Ramprasad, Rampi
err分享
err收藏
Effect of Crystallinity on Li Adsorption in Polyethylene Oxide
errCHEMISTRY OF MATERIALS
IF7
err2018-12-02
err28
PREAI
errDas, Deya; Chandrasekaran, Anand; Venkatram, Shruti; Ramprasad, Rampi
err分享
err收藏
Polymer Genome: A Data-Powered Polymer Informatics Platform for Property Predictions聚合物基因组: 用于属性预测的数据驱动的聚合物信息学平台
errJOURNAL OF PHYSICAL CHEMISTRY C
IF3.2
err2018-07-13
err344
PREAI
errKim, Chiho; Chandrasekaran, Anand; Tran Doan Huan; Das, Deya; Ramprasad, Rampi
err分享
err收藏
Ferroelectricity, Antiferroelectricity, and Ultrathin 2D Electron/Hole Gas in Multifunctional Monolayer MXene多功能单层MXene中的铁电性，反铁电性和超薄2D电子/空穴气体
errNANO LETTERS
IF9.1
err2017-04-06
err215
PREAI
errChandrasekaran, Anand; Mishra, Avanish; Singh, Abhishek Kumar
err分享
err收藏
Asymmetric structure of 90° domain walls and interactions with defects in PbTiO3
errPHYSICAL REVIEW B
IF3.7
err2016-04-04
err24
PREAI
errChandrasekaran, Anand; Wei, Xian-Kui; Feigl, Ludwig; Damjanovic, Dragan; Setter, Nava; Marzari, Nicola
err分享
err收藏

研究方向

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合作学者
合作期刊
N
N. Setter
H 指数: 90 · 论文数: 585
N
Nicola Marzari
H 指数: 87 · 论文数: 706
D
Dragan Damjanović
H 指数: 80 · 论文数: 352
R
Rampi Ramprasad
H 指数: 71 · 论文数: 476
A
Abhishek K. Singh
H 指数: 57 · 论文数: 315
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