most citedRevealing the Compositional Control of Electrical, Mechanical, Optical, and Physical Properties of Inorganic Glasses

8 citations · 13 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2022

Cementron: Machine Learning the Constituent Phases in Cement Clinker from Optical Images

Mohd Zaki, Siddhant Sharma, Sunil Kumar Gurjar +3

Cement is the most used construction material. The performance of cement hydrate depends on the constituent phases, viz. alite, belite, aluminate, and ferrites present in the cemen…

cond-mat.mtrl-sci2022

Accelerated Design of Chalcogenide Glasses through Interpretable Machine Learning for Composition Property Relationships

Sayam Singla, Sajid Mannan, Mohd Zaki +1

Chalcogenide glasses possess several outstanding properties that enable several ground breaking applications, such as optical discs, infrared cameras, and thermal imaging systems.…

cs.CL20212 cited

MatSciBERT: A Materials Domain Language Model for Text Mining and Information Extraction

Tanishq Gupta, Mohd Zaki, N. M. Anoop Krishnan +1

An overwhelmingly large amount of knowledge in the materials domain is generated and stored as text published in peer-reviewed scientific literature. Recent developments in natural…

cond-mat.mtrl-sci20218 cited

Revealing the Compositional Control of Electrical, Mechanical, Optical, and Physical Properties of Inorganic Glasses

R. Ravinder, Suresh Bishnoi, Mohd Zaki +1

Inorganic glasses, produced by the melt-quenching of a concoction of minerals, compounds, and elements, can possess unique optical and elastic properties along with excellent chemi…

physics.optics20213 cited

Unveiling the Glass Veil: Elucidating the Optical Properties in Glasses with Interpretable Machine Learning

Mohd Zaki, Vineeth Venugopal, R. Ravinder +5

Due to their excellent optical properties, glasses are used for various applications ranging from smartphone screens to telescopes. Developing compositions with tailored Abbe numbe…

cs.DL2021

Looking Through Glass: Knowledge Discovery from Materials Science Literature using Natural Language Processing

Vineeth Venugopal, Sourav Sahoo, Mohd Zaki +3

Most of the knowledge in materials science literature is in the form of unstructured data such as text and images. Here, we present a framework employing natural language processin…