N. M. Anoop Krishnan

Manipal Academy of Higher Education — India

Materials Science · Physical Sciences

37h-index4.2kcitations247works4.52yr avg
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Research Topics

Glass properties and applications(64), Machine Learning in Materials Science(49), Material Dynamics and Properties(22), Concrete and Cement Materials Research(14), Phase-change materials and chalcogenides(14)

Publications247 total

Large‐Area Atomically Thin WS <sub>2</sub> Enables Exceptionally Scratch‐Resistant Silica Glass
Small·2025
Cement-Cellulose Excelsior Composites: Accounting for Moisture
ACI Materials Journal·2025
Recent Advances on Green Synthesis and Application of Carbon Dots for Cancer Cell Detection: A Review
Analytical Letters·2025· 2 cited
Bringing ML to the real world: rewards are all we need
2025Open Access
On the Equivalence of Regression and Classification
arXiv (Cornell University)·2025Open Access
Hybrid models combining trend and seasonality components with machine learning algorithms provide accurate forecasting of malaria incidence
PLOS Global Public Health·2025Open Access
Optimization of Transferable Interatomic Potentials for Glasses toward Experimental Properties
arXiv (Cornell University)·2025Open Access
Evaluating large language model agents for automation of atomic force microscopy
Nature Communications·2025· 5 citedOpen Access
On-the-fly machine learning force fields for alkali silicate glasses
Physical Review Materials·2025Open Access
Perspective on artificial intelligence for accelerated materials design (AI4Mat) workshops in 2024
Machine Learning Science and Technology·2025Open Access
MatSKRAFT: A framework for large-scale materials knowledge extraction from scientific tables
arXiv (Cornell University)·2025Open Access
Water-In-Glass: A Self-Supporting Inorganic Aqueous Electrolyte
The Journal of Physical Chemistry B·2025
Author Correction: Probing the limitations of multimodal language models for chemistry and materials research
Nature Computational Science·2025Open Access
Real AI advances require collaboration
Nature Reviews Chemistry·2025· 1 cited
Probing the limitations of multimodal language models for chemistry and materials research
Nature Computational Science·2025· 11 citedOpen Access
Pressure-induced structural transformations at different length scales in soda-lime silica glasses
Journal of Non-Crystalline Solids·2025Open Access
Enabling large language models for real-world materials discovery
Nature Machine Intelligence·2025· 16 cited
Precise Real‐Time Measurement of Liquid Viscosity Using Digital Video Data
Advanced Intelligent Systems·2025Open Access
Force-Field Optimization by End-to-End Differentiable Atomistic Simulation
Journal of Chemical Theory and Computation·2025· 4 cited
Industrial-scale prediction of cement clinker phases using machine learning
Communications Engineering·2025· 5 citedOpen Access
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Frequent Co-authors

Mathieu Bauchy(27), Gaurav Sant(14), Morten M. Smedskjær(13), Bu Wang(12), Mohd Zaki(9), Ravinder Bhattoo(9), Yann Le Pape(9), Sumanta Das(8), Suresh Bishnoi(7), John C. Mauro(6), Yingtian Yu(6), Gideon A. Lyngdoh(5), Mengyi Wang(5), Rajesh Kumar(5), Amarnath R. Allu(5), Nitya Nand Gosvami(4), Hariprasad Kodamana(4), Jayadeva(4), Hargun Singh Grover(3), Han Liu(3)