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D

Dishant Beniwal

indian institute of technology ropar

7H指数
33论文数
165被引数
收录论文 9
发表时间
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Achieving high tensile strength and ductility in refractory alloys by tuning electronic structure通过调整电子结构实现耐火合金的高拉伸强度和延展性
errNature Materials
IF38.5
err2026-01-26
err0
PREAI
errHailong Huang; Prashant Singh; Duane D. Johnson; Dishant Beniwal; Pratik K. Ray; Gaoyuan Ouyang; Luke Gaydos; Trevor Riedemann; Tirthesh Ingale; Vishal Soni; Rajarshi Banerjee; Thomas W. Scharf; Ping Lu; Frank W. DelRio; Andrew B. Kustas; John A. Sharon; Ryan Deacon; Syed I. A. Jalali; Michael Patullo; Sharon Park; Kevin J. Hemker; Ryan T. Ott; Nicolas Argibay
err分享
err收藏
Machine learning driven insights into yield strength of multi-principal element alloys机器学习驱动的多主元合金屈服强度见解
errJournal of Materials Research
IF2.9
err2025-12-19
err0
errOAAI
errDishant Beniwal; Ashish Kaushik; Abhishek Tiwari; Pratik K. Ray
err分享
err收藏
MAPAL: A python library for mapping features and properties of alloys over compositional spacesMAPAL：一个用于在成分空间中映射合金特征和属性的Python库
errComputational Materials Science
IF3.3
err2025-11-03
err0
PREAI
errDishant Beniwal; Pratik K. Ray
err分享
err收藏
The microscopic mechanisms of high temperature oxidation of Haynes 282高温下Haynes 282的微观氧化机制
errCorrosion Science
IF8.5
err2025-08-30
err0
PREAI
errGaoyuan Ouyang; Olena Palasyuk; Prashant Singh; Dishant Beniwal; Vinay Deodeshmukh; Pratik K. Ray; Matthew J. Kramer
err分享
err收藏
Effect of Zn Addition on Phase Evolution in AlCrFeCoNiZn High-Entropy AlloyZn对AlCrFeCoNiZn高熵合金中相演变的影响
errADVANCED ENGINEERING MATERIALS
IF3.3
err2024-09-24
err1
PREAI
errShivam, Vikas; Beniwal, Dishant; Shadangi, Yagnesh; Singh, Prashant; Palasyuk, Olena; Hariharan, V. S.; Kramer, Matthew J.; Phanikumar, Gandham; Johnson, Duane D.; Ray, Pratik K.; Mukhopadhyay, Nilay Krishna
err分享
err收藏
CoSMoR: Decoding decision-making process along continuous composition pathways in machine learning models trained for material properties
errPHYSICAL REVIEW MATERIALS
IF3.4
err2023-04-21
err2
PREAI
errBeniwal, Dishant; Ray, Pratik K.
err分享
err收藏
FCC vs. BCC phase selection in high-entropy alloys via simplified and interpretable reduction of machine learning models通过简化和可解释的机器学习模型减少高熵合金中的FCC与BCC相选择
errMATERIALIA
IF2.9
err2022-12-01
err12
PREAI
errBeniwal, Dishant; Ray, Pratik K.
err分享
err收藏
Distilling physical origins of hardness in multi-principal element alloys directly from ensemble neural network models
errNPJ COMPUTATIONAL MATERIALS
IF11.9
err2022-07-18
err20
errOAAI
errBeniwal, D.; Singh, P.; Gupta, S.; Kramer, M. J.; Johnson, D. D.; Ray, P. K.
err分享
err收藏
Learning phase selection and assemblages in High-Entropy Alloys through a stochastic ensemble-averaging model通过随机集合平均模型学习高熵合金中的相选择和集合
errCOMPUTATIONAL MATERIALS SCIENCE
IF3.3
err2021-09-01
err22
PREAI
errBeniwal, D.; Ray, P. K.
err分享
err收藏

研究方向

暂时未获取到该数据
合作学者
合作期刊
R
Rajarshi Banerjee
H 指数: 83 · 论文数: 451
D
D. D. Johnson
H 指数: 75 · 论文数: 705
S
Shivam Gupta
H 指数: 65 · 论文数: 313
P
Ping Lu
H 指数: 46 · 论文数: 434
R
Ryan Ott
H 指数: 34 · 论文数: 148
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